Document of
                                       The World Bank
                                   FOR OFFICIAL USE ONLY
                                                                        Report No: ICR00005101


           IMPLEMENTATION COMPLETION AND RESULTS REPORT
                                          IDA GRANTS
                                      IN THE AMOUNT OF
           SDR 11.0 MILLION (US$16.8 MILLION EQUIVALENT) TO THE REPUBLIC OF BENIN
          SDR 4.6 MILLION (US$7 MILLION EQUIVALENT) TO THE REPUBLIC OF THE GAMBIA
         SDR 7.8 MILLION (US$12 MILLION EQUIVALENT) TO THE REPUBLIC OF SIERRA LEONE
            SDR 7.8 MILLION (US$12 MILLION EQUIVALENT) TO THE REPUBLIC OF TOGO

                                          IDA CREDITS
                                      IN THE AMOUNT OF
             SDR 3.9 MILLION (US$6 MILLION EQUIVALENT) TO THE REPUBLIC OF LIBERIA
            SDR 19.5 MILLION (US$30 MILLION EQUIVALENT) TO THE REPUBLIC OF NIGER

        GRANT UNDER THE FOOD PRICE CRISIS RESPONSE CORE MULTI DONOR TRUST FUND
                                  IN THE AMOUNT OF
                      US$5 MILLION TO THE REPUBLIC OF THE GAMBIA

              JAPAN POLICY AND HUMAN RESOURCES DEVELOPMENT (PHRD) GRANTS
                                     IN THE AMOUNT OF
                          US$8 MILLION TO THE REPUBLIC OF LIBERIA,
                      US$10 MILLION TO THE REPUBLIC OF SIERRA LEONE
                          US$9 MILLION TO THE REPUBLIC OF GUINEA
                       US$8 MILLION TO THE REPUBLIC OF CÔTE D’IVOIRE

                                            AND
                                     ADDITIONAL CREDITS
                                     IN THE AMOUNT OF
           EURO 18.3 MILLION (US$20 MILLION EQUIVALENT) TO THE REPUBLIC OF BENIN
           SDR 16.8 MILLION (US$23 MILLION EQUIVALENT) TO THE REPUBLIC OF GUINEA
           EURO 13.7 MILLION (US$15 MILLION EQUIVALENT) TO THE REPUBLIC OF NIGER
            EURO 9.2 MILLION (US$10 MILLION EQUIVALENT) TO THE REPUBLIC OF TOGO

                                              FOR
                The West Africa Agricultural Productivity Program APL (WAAPP-1C)

                                         June 19, 2020
Agriculture And Food Global Practice
Africa Region
                   CURRENCY EQUIVALENTS

            (Exchange Rate Effective April 29, 2020)


                       Currency Units = CFAF, Euro
                         CFAF 607.50= US$1
                           € 0.919791= US$1
                          US$ 1.3713 = SDR 1

                         FISCAL YEAR
                   January 1 - December 31




Regional Vice President: Hafez M. H. Ghanem
      Country Director: Deborah L. Wetzel
       Global Director: Martien van Nieuwkoop
     Practice Manager: Marianne Grosclaude
  Task Team Leader(s): Aifa Fatimata Ndoye Niane, Erick Herman Abiassi, Amadou Ba
  ICR Main Contributor: Aifa Fatimata Ndoye Niane
                           ABBREVIATIONS AND ACRONYMS

AF          Additional Financing
AfCFTA      African Continental Free Trade Area
AfDB        African Development Bank
APL         Adaptable Program Lending
AU          Africa Union
CAADP       Comprehensive Africa Agricultural Development Program
CAAS        Chinese Academy of Agricultural Sciences
CARGS       Competitive Agricultural Research Grant Scheme(s)
CCAFS       Climate Change, Agriculture and Food Security
CFAF        West African CFA franc
CGIAR       Consultative Group on International Agricultural Research
CORAF       Conseil Ouest et Centre Africain pour la Recherche et le Développement Agricoles
            (West and Central African Council for Agricultural Research and Development)
CSA         Climate-smart agriculture
CSO         Civil society organization
ECOWAP      Economic Community of West African States Regional Agricultural Policy
ECOWAS      Economic Community of West African States
EFA         Economic and Financial Analysis
EIRR        Economic Internal Return Rate
ESMF        Environmental and Social Management Framework
ESMP        Environmental and Social Management Plan
EU          European Union
FIRR        Financial internal rate of return
FPCR-MDTF   Food Price Crisis Response - Multi-Donors Trust Fund-Core
GDP         Gross domestic product
GNF         Guinean franc
ha          Hectare
HAAFS       Hebei Academy of Agriculture and Forestry Sciences
IDA         International Development Association
IITA        International Institute for Tropical Agriculture
IP          Innovation platform
IRI         Intermediate Results Indicator
ISO         International Standardization Organization
kg          Kilogram
KVK         Indian’s Farm Science Centre called Krishi Vigyana Kendra
M&E         Monitoring and Evaluation
MFD         Mobilizing Finance for Development
MITA        Market for Agricultural Innovations and Technologies
MRU         Mano River Union
mt          Metric ton
NCoS        National Center of Specialization
NEPAD       New Partnership for Africa’s Development
NGO         Non-governmental organization
NPV         Net Present Value
PAD     Project Appraisal Document
PDO     Project Development Objective
PHRD    Japan Policy and Human Resources Development
PMP     Pest Management Plan
QPM     Quality protein maize
R&D     Research and development
R&E     Research and extension
R&TD    Research and technology development
RARC    Rokupr Agricultural Research Center
RCoE    Regional Center of Excellence
RCoS    Regional Center of Specialization
RI      Regional integration
SMEs    Small and medium enterprises
SRI     System of Rice Intensification
t       ton
T&I     Technologies and innovations
TF      Trust Fund
TTL     Task Team Leader
USAID   United States Agency for International Development
WAAPP   West Africa Agricultural Productivity Program
WASIX   West Africa Seed Information Exchange
                                                           TABLE OF CONTENTS


DATA SHEET ........................................................................................................................... I
I.    PROJECT CONTEXT AND DEVELOPMENT OBJECTIVES ....................................................... 1
      A.    CONTEXT AT APPRAISAL ......................................................................................................1
      B.    SIGNIFICANT CHANGES DURING IMPLEMENTATION (IF APPLICABLE) ....................................7
II.   OUTCOME .................................................................................................................... 10
      A. RELEVANCE OF PDOs ............................................................................................................ 10
      B. ACHIEVEMENT OF PDOs (EFFICACY) ...................................................................................... 11
      C. EFFICIENCY ........................................................................................................................... 22
      D. JUSTIFICATION OF OVERALL OUTCOME RATING .................................................................... 23
      E. OTHER OUTCOMES AND IMPACTS (IF ANY) ............................................................................ 24
III. KEY FACTORS THAT AFFECTED IMPLEMENTATION AND OUTCOME ................................ 29
      A. KEY FACTORS DURING PREPARATION ................................................................................... 29
      B. KEY FACTORS DURING IMPLEMENTATION ............................................................................. 30
IV. BANK PERFORMANCE, COMPLIANCE ISSUES, AND RISK TO DEVELOPMENT OUTCOME .. 31
      A. QUALITY OF MONITORING AND EVALUATION (M&E) ............................................................ 31
      B. ENVIRONMENTAL, SOCIAL, AND FIDUCIARY COMPLIANCE ..................................................... 33
      C. BANK PERFORMANCE ........................................................................................................... 34
      D. RISK TO DEVELOPMENT OUTCOME ....................................................................................... 36
V. LESSONS AND RECOMMENDATIONS ............................................................................. 37
ANNEX 1. RESULTS FRAMEWORK AND KEY OUTPUTS ........................................................... 42
ANNEX 2. BANK LENDING AND IMPLEMENTATION SUPPORT/SUPERVISION ......................... 87
ANNEX 3. PROJECT COST BY COMPONENT ........................................................................... 90
ANNEX 4. EFFICIENCY ANALYSIS ........................................................................................... 91
ANNEX 5. BORROWER, CO-FINANCIER AND OTHER PARTNER/STAKEHOLDER COMMENTS ... 98
ANNEX 6. SUPPORTING DOCUMENTS ................................................................................ 101
MAP .................................................................................................................................. 123
     The World Bank
     West Africa Agricultural Productivity Program APL (WAAPP-1C) (P122065)




DATA SHEET


BASIC INFORMATION

Product Information
Project ID                                                Project Name

                                                          West Africa Agricultural Productivity Program APL
P122065
                                                          (WAAPP-1C)

Country                                                   Financing Instrument

Western Africa                                            Investment Project Financing

Original EA Category                                      Revised EA Category

Partial Assessment (B)                                    Partial Assessment (B)



Organizations

Borrower                                                  Implementing Agency

Republic of Togo, Republic of Liberia, Republic of
Niger, Republic of Sierra Leone, Republic of Benin,       CORAF/WECARD
Republic of The Gambia, Republic of Guinea


Project Development Objective (PDO)
Original PDO
To generate and accelerate the adoption of improved technologies in the participating countries' top agricultural
commoditypriorityareas that are aligned with the sub-region's top agricultural commodity priorities, as outlined in
the ECOWAP.




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FINANCING

                                Original Amount (US$)       Revised Amount (US$)    Actual Disbursed (US$)
World Bank Financing
                                           12,000,000                  11,973,626              11,684,446
IDA-H6520
                                           12,000,000                  11,997,678              11,698,506
IDA-H6540
                                           16,800,000                  16,730,002              16,082,715
IDA-H6510
                                            6,000,000                   5,999,843               5,896,585
IDA-48830
                                            7,000,000                   6,991,930               6,768,332
IDA-H6490
                                           30,000,000                  28,694,120              27,092,089
IDA-48770
                                            5,000,000                   4,912,993               4,912,993
TF-99557
                                           10,000,000                  10,000,000              10,000,000
TF-99510
                                            8,000,000                   7,998,175               7,998,175
TF-99511
                                            9,000,000                   9,000,000               9,000,000
TF-99674
                                            8,000,000                   7,780,285               7,780,285
TF-10826
                                           15,000,000                  15,000,000              13,845,075
IDA-59540
                                           23,000,000                  22,999,543              23,595,789
IDA-59530
                                           20,000,000                  20,000,000              18,085,379
IDA-59520
                                           10,000,000                  10,000,000              10,203,798
IDA-59550
Total                                     191,800,000                190,078,195              184,644,167
Non-World Bank Financing
                                                      0                         0                           0




Borrower/Recipient                                   0                         0                            0
Total                                                0                         0                            0
Total Project Cost                        191,800,000                190,078,194              184,644,166




                                                                                             Page ii of v
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KEY DATES

Approval                Effectiveness          MTR Review             Original Closing        Actual Closing
24-Mar-2011             01-Aug-2011                                   30-Jun-2016             31-Dec-2019



RESTRUCTURING AND/OR ADDITIONAL FINANCING

Date(s)                      Amount Disbursed (US$M) Key Revisions
27-Sep-2012                                      9.69 Change in Loan Closing Date(s)
                                                      Change in Financing Plan
07-Oct-2014                                     72.77 Reallocation between Disbursement Categories
23-Dec-2014                                     83.10
25-May-2015                                     91.57 Change in Loan Closing Date(s)
18-Nov-2015                                    103.02 Change in Results Framework
                                                      Reallocation between Disbursement Categories
07-Dec-2015                                    103.40 Change in Results Framework
                                                      Reallocation between Disbursement Categories
24-May-2016                                    112.61 Change in Loan Closing Date(s)
01-Dec-2016                                    118.17 Change in Loan Closing Date(s)
08-Dec-2016                                    118.17 Change in Loan Closing Date(s)
11-Jan-2017                                    118.64 Additional Financing



KEY RATINGS

Outcome                                 Bank Performance                        M&E Quality
Satisfactory                            Satisfactory                            Substantial


RATINGS OF PROJECT PERFORMANCE IN ISRs

                                                                                                     Actual
 No.              Date ISR Archived            DO Rating                   IP Rating             Disbursements
                                                                                                    (US$M)
 01                  20-Sep-2011               Satisfactory               Satisfactory                               0
 02                  10-Dec-2011               Satisfactory               Satisfactory                           2.04
 03                  22-Oct-2012               Satisfactory               Satisfactory                         10.06




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04                    25-Jul-2013                 Satisfactory    Moderately Satisfactory            23.81
05                    06-Apr-2014                 Satisfactory    Moderately Satisfactory            49.57
06                    24-Dec-2014                 Satisfactory    Moderately Satisfactory            83.10
07                    23-Jun-2015                 Satisfactory    Moderately Satisfactory            93.52
08                    08-Jan-2016                 Satisfactory         Satisfactory                104.98
09                    28-Jun-2016                 Satisfactory         Satisfactory                114.43
10                    30-Dec-2016                 Satisfactory         Satisfactory                118.37
11                    30-Jun-2017                 Satisfactory         Satisfactory                119.33
12                    29-Dec-2017                 Satisfactory         Satisfactory                134.38
13                    28-Jun-2018                 Satisfactory         Satisfactory                146.20
14                    18-Jan-2019                 Satisfactory    Moderately Satisfactory          157.91
15                    02-Aug-2019                 Satisfactory    Moderately Satisfactory          171.71
16                    07-Feb-2020                 Satisfactory    Moderately Satisfactory          184.05


SECTORS AND THEMES

Sectors
Major Sector/Sector                                                                                        (%)


Agriculture, Fishing and Forestry                                                                          88
        Agricultural Extension, Research, and Other Support
                                                                                                           78
        Activities
        Public Administration - Agriculture, Fishing & Forestry                                            10



Industry, Trade and Services                                                                               12
        Agricultural markets, commercialization and agri-
                                                                                                           12
        business


Themes
Major Theme/ Theme (Level 2)/ Theme (Level 3)                                                              (%)




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Private Sector Development                                                                                         0
            Business Enabling Environment                                                                         27
                      Innovation and Technology Policy                                                            27

            Regional Integration                                                                                  28

Finance                                                                                                            0
            Finance for Development                                                                                5
                      Agriculture Finance                                                                          5

Urban and Rural Development                                                                                        0
            Rural Development                                                                                     35
                      Rural Markets                                                                                5

                      Rural Infrastructure and service delivery                                                   30

Environment and Natural Resource Management                                                                        0
            Climate change                                                                                        20
                      Mitigation                                                                                   5

                      Adaptation                                                                                  15


ADM STAFF
Role                                               At Approval                  At ICR

Regional Vice President:                           Makhtar Diop                 Hafez M. H. Ghanem
Country Director:                                  Rachid Benmessaoud           Deborah L. Wetzel

Director:                                          Juergen Voegele              Martien Van Nieuwkoop

Practice Manager:                                  Simeon Kacou Ehui            Marianne Grosclaude
                                                                                Aifa Fatimata Ndoye Niane,
Task Team Leader(s):                               Abdoulaye Toure              Erick Herman Abiassi, Amadou
                                                                                Ba
ICR Contributing Author:                                                        Aifa Fatimata Ndoye Niane




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               I.       PROJECT CONTEXT AND DEVELOPMENT OBJECTIVES

      A. CONTEXT AT APPRAISAL

Context

Sector importance, challenges, and prospects
1. Agriculture is a key economic sector in the Economic Community of West African States (ECOWAS). At
the time of appraisal for the West Africa Agricultural Productivity Program (WAAPP-1C), about 65 percent of
the ECOWAS population lived in rural areas. Most of these people obtained a livelihood through agriculture,
which contributed 35 percent of regional gross domestic product (GDP) and over 15 percent of exports.
Agricultural production met 80 percent of domestic food needs in West Africa, and the remaining 20 percent
was met through imports. As a net importer of cereals and livestock products, West Africa was severely
affected by rising global food and fuel prices in 2008–10. Within the region, agricultural trade was limited,
and the region contributed very little to global agricultural trade, accounting for only 0.51 percent of total
global exports and 0.57 percent of total global imports in 2015 (WTO).1
2. Despite the region’s natural resource endowment, favorable agroecological conditions, and markets,
agriculture was constrained by:
 i)      The dominance of subsistence farming. Agricultural production was dominated by small family farms
         focused on growing food crops. They marketed very little surplus, if any. These farmers had little
         exposure to agricultural advisory and extension services, limited access to improved inputs and other
         technology (including agricultural machinery), and few links to markets for output or finance.
 ii) Weak innovation and extension systems. Public research and extension (R&E) services, built in the
     1970s and 1980s with donor support, had become increasingly irrelevant to current needs in agriculture.
     A decline in donor funding of more than 50 percent between 1980 and 2006 had severely curbed the
     implementation of research and technology dissemination programs. The research workforce suffered
     from constant attrition, and even when researchers generated technologies, mechanisms for their
     dissemination and adoption were inefficient, ineffective, and constrained by weak links between
     research, extension, farmers, and agribusiness.
 iii) Limited regional exchange of agricultural technologies and innovations (T&I). National regulatory
      frameworks for cross-border dissemination of T&I did not exist or were not aligned with ECOWAS
      common regulations for genetic materials, pesticides, and agrochemicals.
 iv) Limited role of the private sector. Inadequate policies and weak incentives for private investors and
     entrepreneurs held back private investment in R&E and T&I, including production of new T&I at scale.
 v) Inefficient government interventions. Across West Africa, government policies and programs focused
    on achieving food security by providing substantial input subsidies to farmers. The lack of transparency
    in subsidy programs, the poor quality of subsidized inputs, leakage, and inadequately targeted subsidies
    prevented these programs from having more than a modest impact on overall agricultural productivity.
    Spending on subsidies meant that investments in agricultural R&E remained low in proportion to total

 1    See http://stat.wto.org/CountryProfile/.



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     spending on agriculture by governments in West Africa.
 vi) Limited intra-regional trade. Intra-regional trade remains critical for agricultural development in the
     region, but links between competitive production areas and consumer markets are not strong.
 vii) Gender disparities. The needs and concerns of women producers and entrepreneurs were inadequately
      addressed by R&E in West Africa, despite empirical evidence on women’s critical roles in agricultural
      value chains. Women consistently had limited access to T&I and advisory services.
 viii) Increasing vulnerability to climate change. The rapidly changing climate has challenged agricultural
       livelihoods through increased warming and more extreme temperatures, droughts, rainfall, and
       flooding. Older varieties and practices did not perform well under these conditions, especially under the
       water deficits arising from increasingly irregular and brief periods of rainfall.
3. Even though agriculture was burdened by these challenges, it still had greater potential to generate
wide economic growth than other economic sectors in the region. A 2008 regional baseline study by the
International Food Policy Research Institute2 highlighted the enormous potential to raise agricultural
productivity by expanding the use of yield-increasing technologies, improving processing methods, and
reducing post-harvest losses. The study estimated high potential returns (46 percent on average) to
investments in West Africa to generate and disseminate agricultural technology. It concluded that countries
sharing similar agroecological conditions would enhance the efficiency of their investments in agriculture if
they pooled their resources to solve shared problems in technology development, adoption, and diffusion.
The WAAPP emerged from the findings of this and other strategic analyses, as well as from a growing
consensus that regional cooperation was essential to strengthen food security and promote agriculture-led
growth.
Alignment with regional agricultural priorities and policies
4. Another affirmation of agriculture’s pivotal role in Africa’s economic growth was the African Union’s
(AU’s) New Partnership for Africa’s Development (NEPAD). NEPAD strategic direction has six priority
themes, one of which is agriculture and food security. The Comprehensive Africa Agricultural Development
Program (CAADP) was therefore created to implement NEPAD’s focus on agriculture and food security. CAADP
called upon countries to invest in technology generation and dissemination to achieve growth in agricultural
GDP of 6 percent per year and an allocation of at least 10 percent of public expenditures to the agricultural
sector to reach the Millennium Development Goals by 2020. WAAPP was fully aligned with the fourth CAADP
pillar related to agricultural research, technology dissemination, and adoption.
5. The ECOWAS member countries understood the urgent need to encourage regional integration in
agriculture. All of these countries had economies that relied on natural resources, and all were low-income
countries (except for Ghana) in which agriculture could be a strong driver of economic growth. ECOWAS
launched its regional agricultural policy (ECOWAP) and supported the formulation and implementation of
harmonized National Agricultural Investment Programs and a Regional Agricultural Investment Plan. The
overall objectives (reflected in the design of WAAPP) were to: (i) satisfy food needs of their growing and
increasingly urbanized population; (ii) promote sustainable economic growth and reduce rural poverty; and
(iii) build a strong regional agricultural market for primary and agricultural products.


 2Johnson, M., R. Birner, J. Chamberlin, X. Diao, S. Fan, A. Nin-Pratt, D. Resnick, L. You, and B. Yu (2008), “Regional Strategic Alternatives for
 Agriculture-led Growth and Poverty Reduction in West Africa,” ReSAKSS Working Paper 22, International Food Policy Research Institute (IFPRI).



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Rationale for World Bank Support
6. The WAAPP was aligned with Pillar III of the World Bank Regional Integration Strategy for Sub-Saharan
Africa, approved in 2008 and updated in 2011. Pillar III prioritizes support for cross-country collaboration to
provide regional public goods, including promotion of agricultural productivity. The WAAPP also supported
the implementation of the Country Assistance Strategies of the participating countries and contributed to
achieving two principal objectives: (i) improving agricultural productivity and sustainability to improve food
security, reduce poverty, and contribute to economic growth; and (ii) supporting regional integration.
7. More specifically, International Development Association (IDA) support to WAAPP would assist West
African countries to attain these strategic objectives through four pathways. First, IDA support would help
countries create the enabling conditions for harmonized regulations to foster technology generation and out-
scaling. Second, it would marshal the financial and human resources to develop a sound research program for
each priority commodity within National Centers of Specialization (NCoS). Third, it would help countries share
technologies that were already available as well as those developed and released by the NCoS. Fourth, it
would scale up regional adoption of those technologies by developing common strategies to promote the use
of improved genetic materials, yield-enhancing technologies, post-harvest technologies, and best practices to
accelerate sustainable, positive change in agricultural productivity and production.
The WAAPP series
8. The WAAPP was envisioned as a two-phase, ten-year, horizontal and vertical Adaptable Program
Lending (APL), covering 13 of the 15 ECOWAS countries. Under the first phase of WAAPP, the Board approved
three series, including WAAPP-1A (Ghana, Mali, Senegal) in 2007; WAAPP-1B (Burkina Faso, Côte d’Ivoire,
Nigeria) in 2010; and WAAPP-1C (Benin, Côte d’Ivoire, Guinea, Liberia, Niger, Sierra Leone, The Gambia, and
Togo) in 2011. Only WAAPP-1A went into a second phase (WAAPP-2A) following highly successful
implementation that met all of the criteria to trigger a second phase.
9. WAAPP-1C was approved by the Board on March 24, 2011. The main differences between WAAPP-1C
and its predecessors (WAAPP-1A and WAAPP-1B) are: (i) the proposed support to the Mano River Union
(MRU) countries3, which are fragile states, with a special focus on rebuilding their adaptive research and
technology transfer capacities and (ii) the fact that under Component 2, some countries would not have their
own center of specialization. Total project funding was US$190 million (Table 1); the original funding amount
was US$122 million equivalent. While a second phase of the series was not granted despite satisfactory
performance, an Additional Financing (AF) for WAAPP-1C to the Governments of Benin, Guinea, Niger, and
Togo was approved on February 3, 2017. No regional allocation was provided. During the WAAPP-1C original
financing, Guinea joined the project through the Japan Policy and Human Resources Development (PHRD)
Trust Fund for a total amount of US$9 million, without IDA resources, but ultimately Guinea benefited from
the IDA AF. The West and Central African Council for Agricultural Research and Development (CORAF), which
was selected as the regional coordinating body for WAAPP by ECOWAS, received one-fifteenth of the
proceeds of each participating country’s IDA financing to support regional coordination activities and the
regional Competitive Agricultural Research Grant Scheme (CARGS).




 3   Côte d’Ivoire, Guinea, Liberia and Sierra Leone



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                                                        Table 1: Sources of funding, WAAPP-1C
 Source of funding                                                                                                                                    Amount
                                                                                                                                                    (US$ million)
 1. IDA allocation, including one-third from countries' national IDA and two-thirds from the regional IDA                                                 82
 2. Japan Policy and Human Resources Development (PHRD) Trust Fund provided to the MRU countries (Liberia, Sierra Leone,                                  35
    Guinea, and Côte d’Ivoire†) for the development of the rice value chain
 3. Additional co-financing from the Food Price Crisis Response—Multi-Donors Trust Fund-Core (FPCR-MDTF) provided to The                                     5
    Gambia to accelerate adoption of technologies and mitigate effects of high food prices
 4. Additional Financing for WAAPP 1C to the Governments of Benin, Niger, and Togo from national IDA                                                        53
 5. Additional Financing from the IDA Crisis Response Window for Guinea                                                                                     15
 Total                                                                                                                                                     190
 † Côte d’Ivoire was included in the WAAPP-1C series as part of the MRU countries that benefitted from the Japan PHRD Trust Fund. Since this participation has been
 documented in the WAAPP-1B ICR, this ICR will not focus on Côte d’Ivoire.


Theory of Change (Results Chain)4
10. Like the WAAPP-1A, 1B, and 2A series, WAAPP-1C and its AF (the last series but not the least) sought
to support the eight beneficiary countries in addressing the constraints to agricultural productivity and
development discussed previously. To do so, the project activated three key drivers of change, consisting
of (i) generating, (ii) facilitating access to, and (iii) accelerating the adoption of improved technologies and
innovations. By developing common strategies to promote the use of improved T&I, WAAPP-1C was expected
to: (i) promote positive and sustainable change in agricultural productivity (particularly yield increases) that
would increase incomes, reduce periods of hunger, and improve regional food security and (ii) contribute to
agricultural regional integration. The AF was expected to achieve additional positive outcomes in the form of
improved nutrition, job creation, and higher incomes through support for private sector development. Figure
1 illustrates the theory of change (results chain) of the project.




  4The PAD was prepared in February 2011, at which time a theory of change was not required; one has been developed retroactively for this ICR
  based on information in the PAD and other project preparation documents.



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                                                 Figure 1: Theory of change of WAAPP-1C
             (Source of information: WAAPP-1C Project Appraisal Document and WAAPP-1 Additional Financing Project Paper)




     Project Development Objectives (PDOs)

     11. The development objective of WAAPP-1C5 is to generate and accelerate the adoption of improved
     technologies in the participating countries’ top agricultural commodity priority areas that are aligned with
     the sub-region’s top agricultural commodity priorities as outlined in the ECOWAP.

     Key Expected Outcomes and Outcome Indicators

     12. The expected outcomes of the project were: (i) the generation, (ii) access to, and (iii) dissemination
     and adoption of improved T&I within beneficiary countries and across the West Africa region to increase
     agricultural productivity. Those outcomes would be achieved through: (i) the establishment of a regional

 5   The PDO formulation is the same in all the Financing Agreements (schedule I) and the PAD (page 4).



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  framework enabling conditions for sub-regional cooperation in the generation, dissemination, and
  adoption of agricultural technologies; (ii) the establishment of NCoS or the strengthening of adaptive
  research; and (iii) the funding of technology generation, dissemination, and adoption.
  13. The PDO indicators defined in the Project Appraisal Document (PAD) are appropriate to be considered
  key outcomes indicators. They include: (i) the number of technologies released by the targeted NCoS with
  at least 15 percent productivity increase over the control technology; (ii) area under improved technologies
  disseminated under the project in the beneficiary countries; and (iii) number of producers in the
  participating countries, adopting improved varieties made available under the project by beneficiary
  countries.

  Components

  14. As specified in the PAD and the AF Project Paper, WAAPP-1C had four components, described next.
  15. Component 1: Enabling Conditions for Sub-regional Cooperation in the Generation, Dissemination,
  and Adoption of Agricultural Technologies (US$10.16 million of which: IDA: US$9.27 million). This
  component aimed at strengthening the institutional mechanisms and procedures for generating, adapting,
  disseminating, and adopting improved agricultural technologies, best practices, and tools at the national
  level to allow ECOWAS member countries to benefit from those technologies within a regional framework
  for technical and scientific cooperation. More specifically, Component 1 would support CORAF and
  participating countries to develop and implement technical networks and to establish, prepare, and
  implement at the regional and country levels: (i) communication strategies (including the networking of
  knowledge management and information); (ii) strategies along with annual action plans to mainstream
  climate change and gender considerations in research and development (R&D) programs; (iii) common
  regulations of ECOWAS on genetic materials, agrochemicals, and fertilizers; and (iv) registration/
  regulatory systems for the effective release and cataloguing of genetic materials, approval of pesticides,
  and management of intellectual property. In the specific context of the MRU countries, this component
  also aimed at strengthening institutional mechanisms and procedures for integrating regional rice markets
  and cross-border/national dissemination of technologies.
  16. Component 2: Strengthening National Centers of Specialization/Strengthening of the Research
  System (US$45.11 million, of which IDA: US$29.33 million; Japan TF: US$8.68 million). As noted, unlike
  WAAPP-1A and WAAPP-1B, in WAAPP-1C this component did not systematically support the establishment
  of NCoS in all WAAPP-1C countries. Rather, it provided supported to strengthen the NCoS for livestock in
  Niger, for maize in Benin, and for mangrove rice Sierra Leone, and to rebuild the capacity for adaptive
  research and technology transfer in Guinea, Liberia, The Gambia, and Togo, with the aim of transferring
  and adapting the maximum number of T&I from the sub-region. Accordingly, this component financed:
  (i) capacity building for researchers, along with the facilitation of regional and international partnerships—
  including backstopping from research centers in the Consultative Group on International Agricultural
  Research (CGIAR)—support for research exchange programs, on-the-job-training of young researchers,
  and implementation of annual capacity-building plans; (ii) construction and/or rehabilitation of core
  facilities (such as laboratories, buildings, and experimental fields); (iii) supply chain analyses,
  benchmarking, and monitoring and impact analysis for commissioned or strategic research; and (iv) the
  financing of small grants to implement research to assess available technologies originating within or




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  outside the territory of the participating country.
  17. Component 3: Support to Demand-driven Technology Generation, Dissemination, and Adoption
  (US$57.84 million, of which IDA: US$33.48 million; Japan PHRD TF: US$8.44 million; FPCR: US$4.64
  million). This component aimed at financing priority-focused agricultural research and advisory services
  within participating countries and complementing core project activities financed under Component 2.
  Component 3 had three subcomponents. Subcomponent 3.1: Demand-driven technology generation
  supported the strengthening and/or setting up of the institutional framework of the regional and national
  CARGS, with strong buy-in from major stakeholders. Subcomponent 3.2: Support to accelerated adoption
  of released technologies aimed to bridge the gap between farmers’ yields and yields obtained by
  researchers by accelerating the adoption of technologies that had already been released, particularly
  technologies for the six value chains identified as strategic priorities at the regional level (rice, maize,
  cassava, livestock, meat, and milk). Subcomponent 3.3: Facilitating access to improved genetic material
  aimed to increase the availability of and producers’ access to improved genetic material (seed, planting
  material, fingerlings, and animal breeds) for the strategic value chains targeted by the WAAPP, including
  rice, maize, yam and cassava, livestock, meat, milk, and aquaculture.
  18. Component 4: Project Coordination, Management, and Monitoring and Evaluation (US$17.59
  million, of which IDA: US$11.72 million; Japan PHRD TF: US$0.88 million; FPCR: US$0.36 million). This
  component sought to establish an effective coordination, management, and monitoring and evaluation
  (M&E) system for the project at the national and regional levels. Like WAAPP-1A and WAAPP-1B, WAAPP-
  1C was also implemented at the regional level by CORAF as ECOWAS’ mandated implementing agency, and
  at the national level by the national coordinating units (see table in annex 3).

  B. SIGNIFICANT CHANGES DURING IMPLEMENTATION (IF APPLICABLE)

         Revised PDOs and Outcome Targets

   19. No changes were made to the PDO.
         Revised PDO Indicators

   20. The PDO indicators were revised with the AF by: (i) increasing the end-targets; (ii) combining two
   indicators in one; and (iii) adding two new indicators to better capture the regional integration and
   technology dissemination activities (Table 2).
                                                 Table 2: Project PDO indicators
    PDO Level Results Indicators                                                   Original     Revised        Change
                                                                                    target      targets       (percent)
    1.    Direct project beneficiaries, 40% of whom are female (cumulative,        1,200,000   3,550,000         196
          disaggregated by country) – Total                                        (480,000    (1,420,000
                                                                                    women)      women)
    2.    Technologies generated by the project with at least 15% productivity        15          60             300
          increase over the control technology (for NCoS countries–cumulative,
          disaggregated by country)
    3.    Area under improved technologies disseminated under the project          890,000     2,908,000         227
          (cumulative, disaggregated by country)




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    4.        Processors/producers who have adopted at least one new improved           720,000   2,210,000        207
              technology, made available by the project (cumulative, disaggregated by
              country)
    5.        Beneficiaries who are using technology generated/released by other         New      600,000
              countries’ NCoS (at least 3–cumulative, disaggregated by country)
    6.        Producers with knowledge of technologies generated/released by the         New         75
              project (by country, %)

         Revised Components

   21. No changes were made to the components, including under the AF. Under the AF, additional
   resources were added to each component (see annex 3) to finance the new activities and to scale up
   ongoing activities.

         Other Changes

   22. Ten restructurings were undertaken of which three were combined. One was related to the AF for
   Benin, Guinea, Niger, and Togo, and the others were related to extensions of the closing date, resource
   reallocations between categories, revision of the financing percentage between sources of funding, and
   revision of the results framework. These successive restructurings were as follows:
         i)      September 27, 2012 for (a) The Gambia with a change in the closing date of FPCR Core TF
                 (TF099557) from June 30, 2016 to May 31, 2015 and (b) revisions of the financing percentages of
                 IDA Grant (H649-GM) and the FPCR Core TF (TF099557).
         ii)     October 7, 2014, Guinea Japan PHRD Grant TF (TF 099674) for the reallocation of resources
                 between categories.
         iii)    November 18, 2015, (a) to align the project’s results framework with the results frameworks of the
                 other projects in the series (WAAPP-1B and WAAPP-2A) and (b) to reallocate funds between
                 disbursement categories for both IDA and Japan PHRD TF financings. With respect to the Japan
                 PHRD TF, the restructuring concerned only Liberia and Sierra Leone.
         iv)     December 1, 2016, to extend closing dates from December 31, 2016 to March 31, 20.17.
         v)      May 17, 2016, for no-cost extension of the closing dates from June 30, 2016 to December 31, 2016
                 of all the grants and credits under WAAPP-1C.
         vi)     January 11, 2017, for AF using only national IDA for Benin, Guinea, Niger, and Togo. No funding was
                 available from the regional integration window but due to the success of the program, the
                 participating countries chose to channel the funding through WAAPP-IC.
   23. Under the AF, the results framework was revised. In addition to the change in the PDO-level
   indicators, the intermediate-level indicators were revised not only to increase the end-targets but also to
   add four new intermediate results indicators on employment, private sector participation, nutrition, and
   citizen engagement to cover the additional/new priorities under the AF and to measure their achievement
   (Annex 1 presents the updated results framework). The geographic scope did not change, as the AF
   continued to be implemented at the national level in each of the recipient countries, but the project scaled
   up its activities to reach additional beneficiaries, with a focus on small-scale farmers, young entrepreneurs,
   women, and agro-processors. The project also was to develop a mechanism to encourage the private sector
   to invest in project activities and in the innovation platforms (IPs), mainly in the domains of commercial



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   seed production and tissue culture for vegetative crops, agroprocessing, and the fabrication of mechanical
   tools and processing equipment. In addition, at closing, resources were reallocated from disbursement
   category 2A (goods and services) to category 1 (works) for most participating countries and from category
   4 to category 2A for CORAF to complete regional coordination activities. Moreover, the closing date of the
   original project was extended from March 31, 2017 to December 31, 2019 to allow implementation of the
   AF activities.

       Rationale for Changes and Their Implication on the Original Theory of Change

   24. The rationale for change is summarized below for each successive restructuring:
       i)     September 27, 2012 for The Gambia, to enable the closing date of the FPCR Core TF to be at least
              six months before the end disbursement date of the main donor trust fund (of May 31, 2015). As
              a result of the change in closing date, the FPCR TF Grant Agreement would close earlier than the
              IDA Grant, and there would be no need to revise the financing percentages.
       ii)    October 7, 2014, to maintain the performance of the project by moving Guinea Japan PHRD Grant
              funds from categories with lower disbursement rates to categories that were overdrawn.
       iii)   November 18, 2015 to: (i) implement a harmonized results framework for all 13 countries involved
              in the WAAPP, ensuring greater consistency in the collection of country-level results and
              facilitating their aggregation at the regional level; (ii) compensate for the increased cost of some
              activities (mainly with respect to rehabilitating research centers) or the cost underestimates in the
              initial cost tables; and (iii) better respond to revised/new priorities of the project, including the
              increased focus on capacity building for young researchers and increased operating costs resulting
              from the May 2014 Ebola outbreak (in the case of Liberia and Sierra Leone).
       iv)    December 1, 2016, to enable the credit/grants to remain open until Board approval and
              effectiveness of the AF.
       v)     May 17, 2016, to allow the project to fully complete its activities and thus meet the development
              objective for the first phase.
       vi)    January 11, 2017, to process AF using national IDA resources as there was no corresponding
              regional allocation but participating states channeled their national IDA allocation to WAAPP-1C
              to consolidate and scale up the project’s promising achievements.
   25. The AF was developed in response to strong demand from ECOWAS and the recipient countries to
   consolidate the positive results of the WAAPP. The WAAPP was the flagship regional program of ECOWAS
   in the agricultural sector, intended to launch a green revolution in West Africa. The ECOWAS countries
   appealed to the World Bank to continue funding the program. In particular, the governments of Benin,
   Guinea, Niger, and Togo agreed to allocate part of their national IDA resources to the AF and committed to
   fulfilling the WAAPP agenda by supporting the continuation of project activities for three more years, given
   the tremendous positive results achieved and the desire to maintain momentum.
   26. Aside from being used to consolidate and scale up the achievements of the project, the AF was used
   for two other purposes. As noted, it would focus on the new or emerging priority areas of youth and female
   employment, private sector participation, climate change, nutrition, and citizen engagement. The AF would
   also reinforce and expand the use of digital tools that the project had developed to strengthen regional
   integration (a major dimension of the WAAPP) and speed the adoption of improved T&I.




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   27. The plans to scale up project achievements, focus on new priorities, and strengthen the use of digital
   tools under the AF had implications for the original theory of change and expected results. The AF
   assumed that if the participating countries could replicate and scale up their successes, they could have a
   number of development impacts: they could create more jobs for hundreds of thousands of young
   entrepreneurs, improve nutritional status, mitigate the impacts of climate change, and help to accelerate
   agricultural growth, poverty reduction, and food self-sufficiency.

   II. OUTCOME

   A. RELEVANCE OF PDOs
   Assessment of Relevance of PDOs and Rating
   Rating of Relevance of PDO: High
 28. The PDO of WAAPP-1C, which remains highly relevant, was “to generate and accelerate the adoption of
 improved technologies in the participating countries’ top agricultural commodity priority areas that are aligned
 with the sub-region’s top agricultural commodity priorities as outlined in the ECOWAP.” This objective
 responds to the ECOWAS regional agricultural policy (ECOWAP), which in turn is aligned with the Africa-wide
 initiatives of CAADP and NEPAD. The continued relevance of the PDO is underscored by AU’s adoption of the
 Malabo Declaration on Accelerated Agricultural Growth and Transformation in January 2014, when AU
 member states renewed their commitment to the CAADP goal of achieving a 10 percent target for public
 spending on agriculture, doubling agricultural productivity, and sustaining annual growth in the agricultural
 sector of at least 6 percent. The relevance of the PDO is further reflected in the 17 Sustainable Development
 Goals adopted by the United Nations (UN) in September 2015, especially the second goal: “to end hunger,
 achieve food security and improved nutrition, and promote sustainable agriculture.” WAAPP-1C is also aligned
 with the fifth goal of the AU Agenda 2063 (2013–63), which underscores the need for “modern agriculture for
 increased productivity and production.” By supporting the generation, transfer, and adoption of T&I across the
 region, WAAPP-1C contributes to the aims of the African Continental Free Trade Area (AfCFTA), which entered
 into force in May 2019 and seeks to create a single continental market for goods and services. The continued
 relevance of the PDO is also reflected in its alignment with the Forum for Agricultural Research in Africa Science
 Agenda for Agriculture in Africa and the African Development Bank’s (AfDB) initiative “Feed Africa: Strategy for
 Agricultural Transformation in Africa, 2016–2025,” and its initiative on Technologies for African Agricultural
 Transformation. It is also consistent with the African Agricultural Research Program, which focuses on
 increasing the productivity and competitiveness of African agriculture by increasing the availability of science-
 based technologies and practices, and by adopting the complementary policy, institutional, and market
 innovations required for countries to adapt them and use them on a wide scale. At the country level, the PDO
 is fully in line with the National Agricultural Investment, Food and Nutrition Security Program of each
 participating country and their other agricultural development programs.
 29. Beyond its full alignment with national and regional organizations, initiatives, and programs, the PDO
 is fully consistent with World Bank national and Africa-wide frameworks and strategies. A priority focus
 area or major pillar of the World Bank Country Partnership Framework for each participating country is to
 foster agricultural productivity. The PDO is also well aligned with Supporting Africa’s Transformation, the
 World Bank Africa Strategy (2019–2023). This strategy is designed to build the foundation for a resilient and
 sustainable Africa, including climate-smart agriculture. Finally, the PDO reflects the World Bank Africa Gender



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 Action Plan (FY18–22), with its focus on addressing gender gaps in agricultural productivity.
 30. In summary, WAAPP-1C was relevant at design and continues to be relevant. This conclusion is
 reflected by the project’s rapid expansion to 13
 of 15 ECOWAS countries and is used as a model
                                                  Box 1: WAAPP, a landmark regional project
 for other World Bank regional agricultural
 projects in Sub-Saharan Africa (Box 1). WAAPP    In several ways, the WAAPP series represents a landmark in
 is also the model for an even more ambitious     World Bank Investment Project Financing in the agricultural
 upcoming project that will build on WAAPP        sector of West Africa. It not only involved a very significant
                                                  number of countries and large amount of financing but
 achievements in technology generation,
                                                  spurred an even wider effort to support agricultural
 diffusion, and adoption to foster food security  technology generation and dissemination across Africa
 under climate change. The flexibility designed   through similar regional operations in Eastern Africa and
 into the project has enabled it to adapt         Southern Africa, which Central African countries requested to
 continuously—beyond         expectations    and  join.
 proactively—to address key emerging issues,
                                                  Beyond the specific results achieved at the regional and
 using digital technologies and crowding in the   country level, one of the overarching results of this support
 private sector to: (i) support start-ups with    has been to rejuvenate agricultural research and technology
 disruptive technologies; (ii) support suppliers  development (R&TD) capacity across the continent, after
 of T&I, especially small and medium              many years of plummeting public support. This is particularly
 enterprises (SMEs); and (iii) use e-vouchers to  true in West Africa, where structural adjustment and other
 promote the adoption of T&I and distribute       policies resulted in considerable deterioration in public
 government agricultural subsidies to small-      agricultural R&TD institutions without the emergence of
 scale producers and processors, especially       private sector substitutes. The WAAPP is one of the rare
                                                  projects to be fully adopted by ECOWAS—in this case, in the
 youth and women. WAAPP-1C also
                                                  form of the ECOWAP, the ECOWAS agriculture policy. WAAPP
 demonstrated a great deal of flexibility in
                                                  is widely credited for having revived agricultural R&DT in
 implementation to respond to emergencies in      West Africa.
 West Africa, such as outbreaks of Ebola and fall
 army worm. Such flexibility was fully
 appreciated by the participating countries.

  B. ACHIEVEMENT OF PDOs (EFFICACY)
  Rating of Efficacy: Substantial

   Assessment of Achievement of Each Objective/Outcome

  31. Achievement of the three project objectives or outcomes related to (i) the generation, (ii) access to, and
  (iii) dissemination and adoption of improved T&I is measured by the level of achievement of the end-targets
  for the PDO indicators by each country and cumulatively for the eight participating countries. Table 3
  summarizes achievement of the end-targets based on data from CORAF’s regional M&E system.




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                                Table 3: Achievement of end-targets for PDO indicators, WAAPP-1C
  PDO indicators                                       Country               Revised targets          Actual achieved        Achievement ratio
                                                                                                                            (actual/target in %)
  PDO Indicator 1: Direct project                       GAMBIA                   100,000                  136,494                   136
  beneficiaries (number) of whom are                    LIBERIA                  200,000                  241,040                   121
  female                                             SIERRA LEONE                200,000                  288,083                   144
                                                    CÔTE D'IVOIRE                150,000                  301,000                   201
                                                         BENIN                   900,000                  974,890                   108
                                                         NIGER                   700,000                  664,455                    95
                                                        GUINEA                   800,000                  817,923                   102
                                                         TOGO                    500,000                  613,610                   123
                                                         TOTAL                  3,550,000                4,037,495                  114
                                                   (percent women)                 (40)                     (48)                   (120)
  PDO Indicator 2: Technologies generated               GAMBIA                      -†                        -                       -
  by the Project with at least 15%                      LIBERIA                      -                        -                       -
  productivity increase over the control             SIERRA LEONE                    5                       14                     280
  technology                                        CÔTE D'IVOIRE                    -
                                                         BENIN                      20                       26                     130
                                                         NIGER                      10                       11                     110
                                                        GUINEA                      15                       16                     107
                                                         TOGO                       10                       14                     140
                                                         TOTAL                      60                       81                     135
  PDO Indicator 3: Area under improved                  GAMBIA                    70,000                   56,000                    80
  technologies disseminated under the                   LIBERIA                  110,000                  101,669                    92
  project (hectare)                                  SIERRA LEONE                 70,000                  113,881                   163
                                                    CÔTE D'IVOIRE                108,000                   98,150                    91
                                                         BENIN                   600,000                  555,454                    93
                                                         NIGER                  1,000,000                2,793,265                  279
                                                        GUINEA                   600,000                  616,450                   103
                                                         TOGO                    350,000                  364,547                   104
                                                         TOTAL                  2,908,000                4,699,416                  162
  PDO Indicator 4: Processors/producers                 GAMBIA                    60,000                   69,139                   115
  who have adopted at least one new                     LIBERIA                   90,000                  103,604                   115
  improved technology, made available by             SIERRA LEONE                120,000                  249,164                   208
  the project (number)                              CÔTE D'IVOIRE                 90,000                  123,680                   137
                                                         BENIN                   500,000                  502,086                   100
                                                         NIGER                   500,000                  483,602                    97
                                                        GUINEA                   500,000                  515,057                   103
                                                         TOGO                    350,000                  422,971                   121
                                                         TOTAL                  2,210,000                2,469,303                  112
  PDO Indicator 5: Beneficiaries who are                 BENIN                   150,000                   12,401                     8
  using technology generated/released by                 NIGER                   150,000                  137,580                    92
  other countries’ NCoS (number)‡                       GUINEA                   200,000                  200,196                   100
                                                         TOGO                    100,000                  101,302                   101
                                                         TOTAL                   600,000                  451,479                    75
  PDO Indicator 6: Producers with                        BENIN                      75                       77                     103
  knowledge of technologies                              NIGER                      75                       84                     112
  generated/released by the project                     GUINEA                      75                       80                     107
  (percent)                                              TOGO                       75                       87                     116
                                                         TOTAL                      75                       82                     109
  † Not Applicable.
  ‡ PDO Indicators 5 and 6 are the new PDO indicators added for the four countries beneficiaries of additional financing.

  32. Overall, as shown in Table 3, WAAPP-1C succeeded in achieving or overachieving all end-targets for PDO
  indicators, except for the PDO 5 target for “beneficiaries who are using technology generated/released by
  other countries’ NCoS.” It is highly impressive that most of the PDO end-targets were achieved by 200–300



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     percent (see Table 2), with the AF representing only 28 percent of the original project funding. The
     achievement of PDO indicators varied from country to country. Guinea, Sierra Leone, and Togo achieved or
     overachieved all of their PDO indicator end-targets, while Benin, Gambia, Liberia, and Niger narrowly missed
     achieving all of them but still performed substantially well. For example:
        ▪    PDO Indicator 1: Direct project beneficiaries (number) of whom are female. The project reached
             4,037,495 direct beneficiaries compared to an original target of 3,550,000 (114 percent of
             achievement). The target was overachieved in all countries except Niger, which achieved 95 percent
             of the target. Female participation was generally higher than originally expected: 48 percent of direct
             beneficiaries were women, against a target of 40 percent. The gender target was exceeded in all
             countries through strong implementation of the regional and national gender strategies. Aside from
             farmers and herders and their organizations, other beneficiaries included key participants in the
             generation and dissemination of technology, such as researchers, young scholars, public and private
             extension services and advisory agencies, research institutions, universities, and government
             agencies involved in managing the value chains of priority crops. Non-governmental organizations
             (NGOs) and civil society organizations (CSOs) also participated, particularly in disseminating
             technologies and building citizen engagement.
        ▪    PDO Indicator 2: Number of generated/released technologies6 by the project with at least 15
             percent productivity increase over the control. Overall, 81 improved technologies were generated
             and released, significantly surpassing the target of 60 (an achievement rate of 135 percent). All
             countries involved in technology generation surpassed their targets. Across all countries, the use of
             improved technologies increased yields in farmers’ fields—for instance, by 18–242 percent for rice,
             23–42 percent for maize, and 58 percent for pineapple. For more detail, see the economic and
             financial analysis (EFA) in Annex 4 and the list of technologies generated by the NCoS in Annex 6.3.
        ▪    PDO Indicator 3: Area under improved technologies disseminated under the project (hectare).
             Improved technologies disseminated by the project were used on 4,699,416 hectares compared with
             the target of 2,908,000 (an achievement rate of 165 percent). Benin, Côte d’Ivoire, Liberia, and The
             Gambia were slightly below their area targets, whereas other countries attained or surpassed their
             targets. Niger widely surpassed its area target due to the widespread biological treatment of
             headminer larvae in millet on over 1.6 million hectares, for an achievement rate of 279 percent.
        ▪    PDO Indicator 4: Processors/producers who have adopted at least one new improved technology,
             made available by the project (number). The total achieved was 2,463,303 versus the target of
             2,210,000. Except for Niger, which had an achievement rate of 97 percent, all other countries
             achieved or overachieved their targets. For an assessment of the benefits accruing to agro-
             processors and farmers, see the EFA in Annex 4.
        ▪    PDO Indicator 5: Beneficiaries who are using technology generated/released by other cou ntries’
             NCoS (number). This new indicator, added during the AF to capture integration in technology
             transfer across countries and within the region, was the most challenging indicator and in fact was

 6Technologies counted here were agriculture-related T&I, including those addressing climate change adaptation and mitigation, and they may
 relate to any of the products at any point in the supply chain. Agricultural technologies may include seed varieties, animal breeds, agronomic
 practices (such as row planting, rotation, integrated farming systems, water conservation/harvesting, cover cropping, and so on); efficient and
 effective utilization of land, labor, and capital; and value addition (such as processing, marketing, and distribution). All such technologies should
 reflect a minimum productivity increase level of 15 percent.



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               the only one that was not fully achieved. The overall achievement rate was 75 percent (451,479
               against a target of 600,000), varying widely by country. Guinea and Togo met their targets for this
               indicator, and Niger came close at 82 percent. In Benin only 12,401 beneficiaries used transferred
               technologies, against a target of 150,000 (8 percent of target), which significantly reduced the overall
               achievement rate of the project, preventing it from meeting the regional target. Benin’s
               underachievement was related to poor planning and coordination, resulting in very late initiation of
               technology transfer from other countries in the region. One of the main constraints to the rapid
               regional transfer of T&I was that countries preferred to test and adapt any technology before
               promoting its wide dissemination and adoption, which took at least 1–2 years. A second important
               constraint was difficulty in moving technology across borders, including seed, cattle, and agricultural
               machinery. The Market for Agricultural Innovations and Technologies (MITA) digital platform
               (http://mita.coraf.org) established by CORAF helped to surmount the initial challenges, however,
               and much progress was observed as the project approached its closing date. Given these
               circumstances, the fact that 451,479 stakeholders in the four targeted countries ultimately
               benefitted from transferred technologies represents a remarkable achievement for the project and
               should be considered a relative success. Annex 6.6 presents data on technologies transferred across
               countries.
      ▪        PDO Indicator 6: Producers with knowledge of technologies generated/released by the project
               (percent). For this new indicator, the survey of beneficiaries indicates that the target of 75 percent
               was overachieved in each country and across the region (the regional average was 82%).
  Analysis of achievements of intermediate results indicators
  33. The results framework included 26 intermediate results indicators (IRIs) for the four project
  components. End-targets of the 21 IRIs were fully achieved, while 5 were partially achieved, most at a level
  exceeding 80 percent. Countries varied by the number of IRI end-targets met and level of achievement.
  Guinea achieved end-targets for 24 of 26 IRIs, and Togo achieved 22 of 26. Achievement of IRIs for each of
  the three major outcomes—technology generation, technology access, and technology dissemination and
  adoption—is described in the following sections. For more detail, see the Results Framework and Key
  Outputs, Annex 1.
    1) Technology generation
  34. At the regional level, end-targets were met for five of the six IRIs. The exception was the target for
  technologies generated/adopted by NCoS and demonstrated in at least three ECOWAS countries outside the
  country of origin. The major outcomes achieved were :
          i)    Technologies generated by NCoS and by the national and regional CARGS research projects
  35. Overall, the WAAPP-1C generated/adapted 81 technologies against a target of 60; NCoS
  generated/adapted 53 technologies against a target of 41 (129% of achievement). All countries with NCoS
  met the target, generating and widely disseminating several improved high-yielding and climate-smart
  varieties and other productivity-enhancing technologies. None of the three WAAPP-1C NCoS were upgraded
  to Regional Centers of Excellence (RCoE), but two (the livestock center in Niger and maize center in Benin)
  met 70 percent of the criteria to do so. Progress by the NCoS on mangrove rice in Sierra Leone was limited
  because the project ended in 2016 and Sierra Leone did not benefit from the AF, although much progress
  was made in rebuilding the devastated national research system (Box 2). Figure 2 presents results of the


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  2018 evaluation of NCoS.

    Box 2: Through the WAAPP, Sierra Leone rebuilds its                             Figure 2: Results of the second round of
    agricultural research system                                                      evaluations of the National Center of
                                                                          Achievements: Building regional research capacity
                                                                                         Specialization as of March 2018
    Rokupr Agricultural Research Center (RARC) conducts
    agricultural research on cereals with a major focus on
    rice, a staple food crop in Sierra Leone. Conflict in the
    1990s and early 2000s devastated the Center’s       9 National Centers of
                                                        Specialization
    infrastructure and human resources. Staff quarters,
    offices, laboratories, and equipment were vandalized.
    Research and seed production fields deteriorated.
    Researchers and auxiliary staff departed en masse.
    Under the WAAPP, Sierra Leone has developed a much
    more conducive environment for research. For                                                 90% 89%
                                                                                                           77% 75% 72%
                                                                                                                       69% 69%
    instance, 24 young scientists acquired degrees (2 PhDs,                                                                      61% 61%
    22 MSc/MPhil) at local and foreign universities,
    laboratories were newly built or refurbished and
    restocked with equipment and vehicles, and staff
    housing was renovated.
    Source: Sierra Leone (2016), “Final Report End-of-Program
    Evaluation of West Africa Agricultural Productivity Program -
    Sierra Leone (WAAPP-SL).”




  36. An analysis of the 53 technologies generated and released by the NCoS reveals important patterns.
  As shown in Table 4, a breakdown of released technologies by commodity confirms the project’s focus on
  the priority commodities of maize, livestock, rice, and cassava. It also confirms the project’s focus on priority
  research themes identified in national action plans (enhancing agricultural productivity, adapting to climate-
  change, and developing nutrition-sensitive and gender-responsive technologies). The analysis also reflects
  the value chain approach used, confirming the attention given to on-farm and post-harvest technologies,
  including processing. A detailed list of technologies is in Annexes 6.3–6.5.
                          Table 4: Technologies generated and released by domain of use, WAAPP-1C
                                                 Number of technologies generated and released
     Total             Breakdown by priority commodity                          Breakdown by theme                   Breakdown by value
                                                                                                                        chain segment
                 Maize      Livestock     Rice        Cassava    Productivity    Climate    Gender-     Nutrition-   On-farm       Post-
                                                                                 change     sensitive   sensitive                 harvest,
                                                                                                                                 processing
      53          20           13          12            8           38            28            13          5         36           17

  37. The generation of productivity-enhancing technology succeeded owing to the combination of
  revitalized research systems and competitive grants (CARGS). WAAPP succeeded in enabling African
  agricultural research to play its key role in increasing productivity in the targeted agricultural value chains of
  beneficiary countries, with spillovers across the region. Agricultural research systems were revitalized and



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     improved with new infrastructure, laboratory facilities, and stronger human capacity. A scholarship program
     enabled young scientists to obtain MSc and PhD degrees to fill gaps in key disciplines, replace retiring staff,
     and bring more female scientists onto the staff. The scholarship program benefitted 478 individuals (351
     MSc and 127 PhD students) compared to the targets (447 total, including 333 MSc and 114 PhD recipients);
     both regional and national targets were met. Several graduates received promotions. The project also set up
     an MSc program in animal production and biotechnology in Niger. Scientific exchange visits enabled learning
     and networking at the regional and international level with the CGIAR centers and through South-South
     cooperation with Brazil, China, India, and Israel (see Annex 6.11). The regional target of 126 scientific
     exchange visits was met, although Benin (with a 96% rate of achievement), Togo (with 90%), and Guinea
     (with 84%) were slightly below the target.
     38. National and regional CARGS supported initiatives of the revamped research systems. Overall,
     national CARGS funded implementation of 134 research projects against a target of 150; the projects covered
     production (variety development, animal breeding) as well as research relevant to other stages of the value
     chain (processing, conservation, storage). Country level targets were met except for Liberia (where no CARGS
     was set up because of a lack of local capacity) and Sierra Leone (where only 2 of 18 proposals qualified for
     funding against a target of 5). CORAF established a regional CARGS that supported the implementation of 13
     regional projects against a target of 15 (an achievement rate of 87%). The most important regional projects
     disseminated fruit fly control technologies and built capacity of stakeholders in West African fruit value
     chains; increased farmers’ access to certified seed; disseminated the System of Rice Intensification (SRI);
     trained stakeholders to use climate information to enhance resilience in the agricultural sector; supported
     soil fertility research; and responded to outbreaks of fall army worm. Regional projects disseminated 11
     technologies (against a target of 11) on more than 12,000 hectares, reaching 53,000 direct beneficiaries.
     Annex 6.1 summarizes the key achievements of regional initiatives. In implementing regional projects, CORAF
     built synergies with a range of international partners.7
          ii)   Technologies generated outside and tested by non-NCoS countries and adapted for local use
      39.    Countries without NCoS (Guinea, Liberia, The Gambia, and Togo) tested 48 technologies generated
     elsewhere, against a target of 45 (107 percent of achievement). This adaptive research was carried out with
     the involvement of producer organizations, NGOs, universities, and the private sector.
      2) Technology access
      40.  At the regional level, all IRI end-targets were reached or exceeded (see Annex 1). Four major
     outcomes are highlighted here.
          i)    Adoption and implementation of harmonized regional regulations and guidelines facilitating access to
                cross-border technologies
      41.   The WAAPP was essential in helping ECOWAS countries under the coordination of CORAF to adopt
     and implement region-wide regulations on genetic materials, pesticides, fertilizers, and veterinary
     products. Annex 6.7 summarizes these regulations. National seed committees have been established and
     operate regularly in all beneficiary countries. In terms of sustainability, under the coordination of CORAF,
     other development partners—the United States Agency for International Development (USAID), the
     European Union (EU), and AfDB—are taking the lead, holding regular regional meetings on these input

 7 Including IITA (International Institute for Tropical Agriculture), International Crops Research Institute for the Semi-Arid Tropics, CCAFS, the
 International Maize and Wheat Improvement Center, AGRHYMET, and the Borlaug Institute for South Asia.



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  regulations. With the increased exchange of these products across national borders, the region has become
  more outward looking and open to the benefits of regional and international cooperation in agricultural
  technology generation and diffusion.
       ii)   Regional strategy on communication and knowledge management
   42.     The WAAPP gained immense visibility throughout the region with a successful communication for
  development (Com4Dev) strategy. Participating countries used the strategy, developed by CORAF with the
  Food and Agriculture Organization, to create their respective communication action plans. By the end of
  implementation, communications had improved at the national level, as well as at the regional level with
  CORAF coordination. Videos and newsletters on successful technologies generated by the NCoS were
  available on national and CORAF websites and promoted widely on social media (Twitter and Facebook),
  with impressive feedback. The WAAPP’s most outstanding communication and knowledge management
  achievement is the MITA digital platform, which is particularly valuable for regional technology transfer.
  MITA helps producers and other value chain actors to learn which technologies are available in the region
  and how to obtain them. Through MITA, young entrepreneurs have used T&I developed through the WAAPP
  to initiate or expand agribusiness (see Stories of Change; WAAPP in 10 years).
       iii) Publication of regional catalogues
   43.     The Regional Species and Plant Varieties Catalog was issued (as of this ICR, it lists 239 registered
  varieties, including 129 from WAAPP-1C; see Annex 6.2), and along with the Quarantine Pests List, it
  facilitated development of an executive regulation for seed import and export. CORAF also developed a
  harmonized regulatory framework for sharing and using animal genetic material (including live animals,
  embryos, semen, and ova for breeding or improvement of animal species) in the ECOWAS region, which was
  validated and submitted to ECOWAS (adoption is pending). Regional and national journals published 125
  articles on WAAPP research compared to a target of 133 (94% of achievement) (see Annex 6.12).
       iv) Country seed systems rebuilt with seed multiplication programs to improve producers’ access
   44.     The project successfully rebuilt country seed systems, giving producers better access to seed of
  new, improved varieties that raised agricultural productivity. A similar achievement was made with breeder
  stock. Like their other WAAPP peers, WAAPP-1C countries performed well in foundation seed production,
  exceeding regional and country targets for all priority crops except cowpeas (Table 5). Benin, hosting the
  Regional Center of Specialization (RCoS) for maize, was the top maize seed producer, generating 2,328 metric
  tons (mt) compared to total sub-regional production of 2,611 mt. Guinea was the top rice seed producer
  (22,480 mt). Beyond supporting increased production of foundation seed, the project offered considerable
  support for the multiplication and importation of certified seed throughout the region. For instance, Togo
  imported and distributed 3,505 mt of certified seed of various improved varieties to over 263,000
  beneficiaries on 198,156 hectares. Guinea distributed 3,876 mt of locally produced and imported improved
  certified seed for rice, maize, soybeans, and sesame to over 166,940 producers. A new rice hybrid (Mayun
  1) released by the RCoS in Mali in partnership with China was procured by Guinea (15 mt) and Niger (20 mt)
  and distributed to over 7,000 farmers. Many fixed and mobile seed processing units were provided by the
  project to seed cooperatives, producer organizations, and individuals to promote emerging seed enterprises
  at the local level.




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                                    Table 5: Genetic material: Foundation seed produced under WAAPP-1C
     Crop                    Revised target                 Actual achieved at completion                Achievement ratio (actual/target, %)
     Rice (mt)                      8,568                               30,953                                          360
     Maize (mt)                     1,040                                2,611                                          251
     Cowpeas (mt)                   1,200                                  883                                           74
     Straw (unit)                  20,000                               24,000                                          120

      3) Technology dissemination and adoption
      45.   The seven most outstanding outcomes of technology adoption and dissemination initiatives
     supported under WAAPP-1C are outlined here.
          i)    NCoS and CARGS demonstrated and disseminated numerous technologies
      46.    Overall, 165 technologies generated under national and regional CARGS subprojects were
     demonstrated across the region, against a target of 128 (129 percent achievement). All countries met their
     targets, except for Liberia and Sierra Leone (no technology was demonstrated). Niger excelled,
     demonstrating 29 technologies under the CARGS compared to a target of 14 (207 percent achievement).
     Public and private extension services involved with the project established 7,298 demonstration plots, much
     more than the 5,561 targeted (131% achievement). Achievement rates varied significantly by country,
     however, ranging from 333 percent (Togo) to 66 percent (Niger) and 43 percent (Benin). Aside from
     demonstration plots, the project used other means of speeding dissemination of information on new
     technology, including national dissemination plans, extension workshops, stakeholder forums, e-extension,
     and the internet.
          ii)   Strengthened national extension systems supported wider technology adoption
      47.      Agricultural advisory and extension services were strengthened with renewed infrastructure,
     facilities, equipment, project funding, and digital technologies. The CARGS considerably improved links
     between research and extension by funding joint research and technology transfer subprojects. In Niger, the
     use of e-extension with call-in centers has amplified the reach of extension organizations, making it possible
     for them to learn about and respond to farmers’ needs more effectively. In Guinea and Niger, e-voucher
     platforms improved targeting and increased transparency in the dissemination of improved technology
     (improved seed, breeder stock, and machinery) and government-subsidized inputs.
          iii) Nutrition-sensitive technologies were promoted and adopted
      48.     A total of 35 nutrition-sensitive technologies were promoted and adopted by processors, versus
     32 planned. These technologies included a wide range of nutrient-rich and fortified alternatives8. All four
     WAAPP-1C AF countries met their targets, except for Togo (six technologies against a target of eight). Niger
     and Benin conducted training in processing enriched food from local ingredients. The technologies were
     intended mainly for infants, orphans (through support to orphanages), boys and girls in school feeding
     programs, pregnant women, and elders. The regional nutrition strategy and national action plans contributed
     to this result (for details, see Annex 6.10).



 8
  Enriched flour for infants, parboiled rice, quality protein maize, sesame, composite flour for bread (soybean, sorghum, and cassava), edible
 mushrooms, fonio (a dry cereal known for diabetes control), micronutrient-enriched flour for pregnant women, and cassava and sweet potato
 varieties high in beta carotene.



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       iv) Investment proposals were prepared to promote private investment in technology adoption
   49.     In total, 705 investment proposals were prepared, compared to 38 originally planned. All countries
  exceeded targets except for Benin (where no investment proposals were prepared). The other three
  countries differed in the extent to which investment proposals were implemented. Guinea made the most
  progress; it offered training in business plan preparation and financial management and provided matching
  grants of 80–90 percent to 75 service enterprises, IPs, producer organizations, and economic interest groups.
  Investments implemented by these businesses created an estimated 2,849 jobs. Togo funded 12 investment
  proposals against a target of 8. Although Niger received 618 investment proposals, delays prevented them
  from being financed and implemented, but beneficiaries received technical and financial management
  training.
       v)   Jobs were created through the adoption of technology generated under WAAPP-1C
   50.   A total of 13,672 jobs were created compared to 18,000 planned (76 percent of achievement). At
  the country level, Guinea and Togo reached their targets but Benin and Niger did not (68 percent and 33
  percent of achievement, respectively), owing to delays in implementing investment proposals. CORAF has
  documented successful experiences of young agri-entrepreneurs using technologies generated and
  disseminated by the project, and CORAF created the internet-based Agripreneur-TV to showcase
  technologies generated under WAAPP to attract young entrepreneurs to agriculture.
       vi) South-South partnership formed for technology transfer, dissemination, and adoption
   51.    To take advantage of scientific and technological progress in agriculture outside West Africa, under
  World Bank leadership and with the regional coordination of CORAF, WAAPP built South-South
  partnerships in Brazil with Embrapa, in China with the Chinese Academy of Agricultural Sciences (CAAS)
  and Hebei Academy of Agriculture and Forestry Sciences (HAAFS), and with India and Israel. Aside from
  providing improved technologies for testing and dissemination in WAAPP countries, these partnerships
  included joint research implemented by CAAS and the rice RCoS in Mali, resulting in the release of 10 new
  hybrid rice varieties disseminated in Guinea and Niger. The Krishi Vigyana Kendra (KVK) approach for
  technology transfer was tested in partnership with India’s Farm Science Centre. These partnerships led to
  useful results for WAAPP-1C countries and arguably provided value for money (for details, see Annex 6.11).
       vii) Adverse effects of the Ebola outbreak mitigated by prompt provision and adoption of improved varieties
   52.     WAAPP-1C responded positively and promptly to the Ebola outbreak by providing improved seed
  to help producers resume and increase food production. By August 2015, over 28,000 people from Liberia,
  Sierra Leone, and Guinea had been infected by the virus, and 40 percent (11,290) had died. Beyond these
  losses, Ebola took a heavy toll on these fragile economies and severely threatened their agricultural and food
  sectors. Food shortages led farm households to consume seed stocks saved for planting, and an acute
  shortage of agricultural labor exacerbated food insecurity. Without measures to rapidly safeguard crop and
  livestock production, over one million people were at risk of going hungry. WAAPP-1C along with the Ebola
  Emergency Seed Support Program was instrumental in mitigating and dampening the negative impact of
  Ebola epidemic on agriculture by promoting the adoption of certified seed of improved varieties. In 2015
  CORAF helped to mobilize 4,384 mt of rice, maize, and cowpea seed for 240,113 farm families (45 percent
  female-headed households). In 2016, the three countries multiplied an additional 8,400 mt of seed that
  benefited over 450,000 additional farm families. The regional solidarity of all WAAPP series countries was
  exemplary in ensuring the recovery of agriculture in the Ebola-affected WAAPP-1C countries.



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  Technology generation, dissemination, and adoption: A summary of impacts
   53.    The combined efforts to generate, disseminate, and foster adoption of improved technologies
  resulted in 2,463,303 producers and processors using improved technologies (97 percent of the target) on
  4,699,416 hectares (165 percent of the target).
   54.    The use of those technologies raised agricultural productivity and incomes for beneficiaries across
  WAAPP countries. Rigorous impact studies at the country level compared treatment to control groups and
  status at baseline to capture the increases in production, productivity, and income arising from the project’s
  interventions. Under the AF, project M&E teams organized meticulous yield evaluations to estimate yield
  increases arising from the project. Evidence from those impact studies and M&E estimates has confirmed
  the positive outcomes and impacts of improved T&I such as climate-smart technologies (high-yielding,
  drought-resistant, and early-maturing varieties), improved livestock breeds, and improved agricultural
  equipment on the livelihoods and wider socio-economic circumstances of project beneficiaries. CORAF has
  publicized these impacts through many channels, including WAAPP Stories of Change. Box 3 highlights some
  of the evidences on impacts; for more detail, see Annexes 6.8–6.9.




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      Box 3: Evidence of WAAPP-1C impacts at the national level
      Benin. Dissemination of new maize varieties increased yields from less than 1 metric ton per hectare
      (t/ha) to 2.5–3.5 t/ha. Use of a new rice variety and SRI caused yields to increase from less than 2 t/ha up
      to 9 t/ha for beneficiaries. The use of polyethylene film to save labor and water in pineapple production
      was a major WAAPP-1C success story, doubling pineapple yields on average from 35 to 70 t/ha, and
      increasing incomes from CFAF2.2 million to CFAF5 million (US$3,700–8,300) per hectare.
      Guinea. Adoption of improved, high-yielding rice varieties with inbred tolerance to iron toxicity and pests
      increased yields of irrigated rice from 2 t/ha to 4 t/ha and yields of rainfed rice from 1 t/ha to 3 t/ha.
      Producer income increased by 40–60 percent (US$600–800) for irrigated rice and 30–40 percent for
      rainfed rice (US$500). For cassava, the adoption of improved varieties that were high-yielding, early-
      maturing (8–12 months against 18), and drought-resistant raised yields from 15 t/ha to 25 t/ha.
      Liberia. Dissemination and adoption of improved rice varieties like NERICA 8 increased yields significantly
      from less than 1 t/ha to about 2.5 t/ha for upland rice and from 1.5 t/ha to about 4 t/ha in lowland rice.
      Household income increased by an estimated 20 percent. Improved cassava varieties disseminated by
      the project had an average yield of 55 t/ha against 16 t/ha for traditional varieties.
      Niger. Adoption of the Red Maradi goat breed on family farms has improved livelihoods, stimulated local
      economies, and made better nutrition more accessible. A typical litter is produced twice each year,
      consisting of two to three kids that reach reproductive age at six to seven months. Each female goat can
      produce 0.6 liters of milk per day for three to four months after each litter.
      Sierra Leone. Between 2012 (baseline) and 2016, rice yields increased by 65 percent and cassava yields
      by 48 percent for the treatment group versus the control group, and by 97 percent and 60 percent
      respectively for the treatment group compared to baseline. Increased rice and cassava productivity
      caused household income from agriculture to increase by 77–122 percent on average.†
      The Gambia. The ICR of the Government of The Gambia reports that rice yields increased from 2.5 t/ha
      in the conventional production system to over 9 t/ha with SRI technology.
      Togo. The project M&E team estimated that dissemination and adoption of improved rice varieties and
      SRI increased yields from 1.5 t/ha to 4–5 t/ha in 2019. Income increased by 64 percent with the adoption
      of improved rice varieties and over 500 percent when they were used in combination with SRI technology.
      † Results from Sierra Leone (2016), “Final Report End-of-Program Evaluation of West Africa Agricultural Productivity
      Program - Sierra Leone (WAAPP-SL).”




  Justification of Overall Efficacy Rating
  55.     Taking all of these achievements into account (Box 4), the efficacy of the WAAPP-1C outcome is
  rated Substantial. End-targets for all six PDO indicators were met, except for one, which was met at 75
  percent. Twenty-one of twenty-six IRI end-targets were achieved, and five were partially achieved at levels
  surpassing 80 percent. Conditions for sub-regional cooperation were strengthened with the adoption and
  implementation of ECOWAS regional input regulations; national and regional strategies on gender, climate
  change, nutrition, and communication and knowledge management; the establishment of a vibrant research



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  system in which two of the three NCoS became
  RCoS; demand-driven technology generation,             Box 4: WAAPP-1C key achievements in numbers
  dissemination, and adoption that proceeded as          • 4,037,495 direct beneficiaries, of which 48
  planned; and the production of targeted                  percent were women
  quantities of certified foundation seed and
  improved breeder stock, all with a positive impact     • 81 improved technologies generated or
                                                           adapted
  on agricultural productivity. The community of
  agricultural scientists has been reinvigorated with    • 4,699,416 hectares under improved
  new and mostly young MSc and PhD graduates               technologies disseminated
  supported through the scholarship program.             • 2,469,303 producers and processors adopted
  Several networks were created within and across          new improved technology
  ECOWAS countries, and regional agricultural
                                                         • 451,479 beneficiaries use technology
  technology transfer has taken off. South-South
                                                           generated by other countries
  cooperation was built with Brazil, China, and India,
  alongside global networking with CGIAR centers.        • 82 percent producers have knowledge of
  By promoting improved technologies through               technologies generated/released
  digital tools, building capacity to prepare business   • 150 varieties released and registered in
  plans, and providing financial support, the project      regional catalogue
  enabled young agri-entrepreneurs to operate and
                                                         • 34,477 metric tons of foundation seed
  created jobs. The seed support was a positive and
                                                           produced
  prompt response to the pressures on agriculture
  and food arising from the Ebola outbreak.              • 478 beneficiaries of the scholarship program:
                                                           127 PhD and 351 MSc
                                                         • 13,672 job created




  C. EFFICIENCY

       Assessment of Efficiency and Rating
       Rating: Substantial

  56.     At appraisal for the original WAAPP-1C financing in 2011, the ex-ante EFA assessed returns at the
  national and regional levels from improved efficiency in farming systems and value chains supported by
  the project. Benefits were expected to be due to: (i) the generation, diffusion, and adoption of new or
  improved technologies; (ii) enhanced technology spillovers between ECOWAS countries arising from an
  integrated policy environment with regard to agricultural cooperation and exchanges; and (iii) sound
  communication and dissemination approaches to enhance the project’s visibility, transparency, and
  effectiveness. The ex-ante EFA showed that WAAPP-1C was an economically desirable project. The minimum
  annual growth rate needed to break even—an economic internal rate of return (EIRR) of 12 percent—was
  modest and attainable in each country. At appraisal of the AF for Benin, Guinea, Niger, and Togo in 2017, the
  EFA also demonstrated that the project was economically and financially viable, with an EIRR on the order of
  29 percent for a 20-year period.



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  57.      The ex-post EFA has updated that analysis with information gathered from IPs, WAAPP-1C
  institutional and implementing partners and other authorities, as well as impact studies and ICRs. The
  financial analysis is based on 14 models considered representative of farming and processing systems in the
  participating countries, including 8 crop models (rice, maize, cassava, cashew, pineapple, sorghum, millet,
  and cowpeas), 3 livestock models (milk production from camels and cows, and production of mono-sex
  tilapia fry), and 3 agroprocessing activities (production of meat jerky, rice processing, and parboiled rice).
  The estimated financial performance indicators show all of the promoted technologies to be financially
  viable, with an increase in gross revenue ranging from 10 percent to 2,728 percent depending on the model.
  The EIRR of WAAPP-1C is estimated at 22 percent, the net present value (NPV) at US$431 million, and the
  benefit-cost ratio at 2.8, over a 20-year period, with a social discount rate of 6 percent against the project
  expenditure of US$176 million. It is likely that the EIRR is underestimated, however, because insufficient data
  were available to assess the spillover effects generated by the project at the regional level—hence the
  variation in the EIRRs estimated ex post (22 percent) and ex ante (29 percent—reflecting the estimated
  spillover effects based on assumptions). Additional EIRRs and NPVs were estimated for shorter time horizons:
  10 years (EIRR 7 percent, NPV US$8 million), 12 years (EIRR 15 percent, NPV US$248 million), and 15 years
  (EIRR 20 percent, NPV US$279 million). In sum, the project offered value for money and was cost efficient.
  Sensitivity analysis confirmed the robustness of the models, as EIRRs remained relatively high and NPVs
  remained positive under various adverse scenarios over a 20-year time horizon, including an extreme
  reduction in benefits due to declining yields or output prices and rising costs (Table 6). The choice of scenarios
  for the sensitivity analysis was based on the key parameters used for the EFA (benefits, cost, discount rate),
  as well as the variable weather conditions related to climate change that could potentially reduce yields, and
  the volatility in market prices that could affect most agricultural products and influence project benefits.
                            Table 6: Estimates from the ex-post economic analysis, WAAPP-1C

                      Scenario                      Economic internal rate of return (%)   Net present value
                                                                                             (US$ million)
                      Base case                                      22                     431
                      Cost overrun by 10%                            21                     405
                      Cost overrun by 25%                            19                     367
                      Cost overrun by 50%                            16                     304
                      Decrease in benefits by 10%                    21                     362
                      Decrease in benefits by 25%                    18                     260
                      Decrease in benefits by 50%                    11                      89
  58.      Furthermore, WAAPP-1C achieved or exceeded the quantitative and qualitative targets set in the
  results framework, except with respect to the number of project beneficiaries using technologies from
  other countries. With an overall rate of achievement of PDO indicators of 120 percent and a disbursement
  rate of 97 percent, WAAPP-1C attained an efficiency rate of 1.23.
  59.       Altogether, overall project efficiency is rated Substantial.
  D. JUSTIFICATION OF OVERALL OUTCOME RATING
        Overall Outcome Rating: Satisfactory
 60.     The overall outcome rating is Satisfactory, based on the High rating of PDO relevance, the Substantial
 rating of achievement of the PDO and intermediate outcome indicators, and the Substantial rating of


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 efficiency. WAAPP-1C strengthened the capacity of participating countries to increase agricultural productivity
 growth. The project: (i) succeeded in rebuilding the national and regional research system by strengthening
 physical research infrastructure and building human and institutional research capacity; (ii) revamped the
 process for generating, disseminating, and adopting new T&I; (iii) strengthened the capacity of other actors
 involved in the agricultural innovation system (R&D); (iv) fostered regional cooperation to mutualize and
 optimize the use of scarce financial and human resources; and (iv) developed South-South cooperation to
 enable technology transfer and adoption. The project also remains highly relevant to the new strategies of
 the respective governments, ECOWAS, and World Bank country partnerships, all of which aim to transform
 agriculture through an emphasis on productivity increases and value chain development to improve the
 regional food system, especially in light of constraints imposed by a changing climate.
 E. OTHER OUTCOMES AND IMPACTS (IF ANY)
 Gender
 61.      The project succeeded in surpassing the
                                                                Figure 3: Women direct beneficiaries of
 gender target; 48 percent of the direct                                      WAAPP-1C (%)
 beneficiaries were women, compared to the
 original objective of at least 40 percent (Figure 70             60
                                                      60                 54
 3). This gender achievement was not expected,                                  49       47                49      48
                                                      50                                            42
 as the project had attained only 15–20 percent 40          41                                   41

 female participation by 2013. A gender approach 30
 was definitively adopted, however, with the 20
 regional gender mainstreaming strategy and 10
 gender screening tool developed by CORAF and           0
 national gender action plans developed in each
 of the eight countries based on advice from the
 World Bank team. Gender training was provided
 to different actors involved in implementing the              Women direct beneficiaries (percent)    Target (percent)
 project to build a gender-sensitive team. Under
 CORAF leadership, the project gender specialists started to evaluate all technologies based on their
 relevance in addressing needs and activities specific to women and based on whether women could access
 them. A major constraint beyond the project’s control was women’s limited access to and control over land,
 which prevented women’s large-scale adoption of improved varieties disseminated by the project. As a
 counter measure, the project specifically sought to include women with access to plots of land, particularly
 women’s groups, in project activities such as training in seed multiplication, and to facilitate their access to
 improved technologies, including new varieties, best practices, and improved machinery. Moreover, after
 looking at women’s participation in the entire value chain from production to processing to marketing, it
 became clear that women were much more active in the downstream segment. Consequently, technologies
 that favored women’s requirements became a key selection criterion, and the number of women
 beneficiaries increased considerably. Gender-sensitive technologies released by the NCoS were identified,
 uploaded in MITA (NCoS Gender Sensitive Technologies), and promoted for women to adopt. Technologies
 with proven labor-saving attributes were sources of job creation and income generation for vulnerable
 groups such as women and youth in the project countries. WAAPP-1C also helped to expand
 entrepreneurship among women and young people by providing technical and financial support for them to



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 start or develop their agroprocessing business using improved technologies generated under the project.
 62.     The most impressive and possibly one of the most enduring gender outcomes of WAAPP-1C was
 the provision of scholarships to women: 28 percent of scholarship recipients were young women who
 pursued MSc or PhD degrees in the agricultural sciences. Some of these graduates joined research centers,
 thereby increasing the participation of female (and young) researchers in the regional agricultural research
 system.

 Institutional Strengthening

 63.     The WAAPP-1C strengthened different types of agricultural institutions in different ways and at
 different levels, from local to national and regional. For example:
    ▪    Existing rural institutions such as producer organizations, seed producer groups or cooperatives,
         women’s community groups or organizations, economic interest groups, and youth groups benefited
         from the project’s contributions to building technical capacity, expanding access to improved
         agricultural T&I, developing infrastructure, and providing financial support through matching grants.
         All of these interventions created new dynamism and development perspectives in the groups
         involved. They increased members’ interest in group activities, built solidarity within community
         groups, and strengthened the commitment to local development.
    ▪    The development of entrepreneurs and professional cooperatives that produce seed and seedlings,
         and that engage in commercial agriculture and invest in agroprocessing, is taking off under the AF.
    ▪    With a total of 150 IPs created to accelerate adoption of released technologies, WAAPP enriched
         local communities with a new type of institution that convened all stakeholders in a value chain,
         from producers to marketers, to exchange knowledge and information and connect to markets.
         Through the IPs, WAAPP provided an incentive for producers to organize and sell the surplus
         production resulting from their adoption of improved varieties and best practices. By the same
         token, IPs helped agroprocessors and traders to connect with farmer-suppliers.
    ▪    The innovation system was reconstituted and very substantially strengthened. The project
         rehabilitated and improved extensively damaged national research systems, and the NCoS in Niger
         and Benin qualified to be upgraded to RCoS with renewed infrastructure, facilities, and laboratory
         equipment. The support for individuals to complete 478 advanced degrees deepened and bolstered
         the scientific base in participating research and extension organizations, particularly in crop and
         animal breeding. Links between national agricultural research systems, NCoS, RCoS, and RCoE have
         been created, and networking with CGIAR centers expanded. Finally, the transition of NCoS in Benin
         and Niger into RCoS is a game changer that will lay the basis for pursuing regional research priorities.
         For example, through the CORAF-USAID partnership, the Benin maize RCoS benefits from the USAID-
         funded Partnership for Agricultural Research, Education, and Development, and its will also benefit
         from an EU-funded project with CORAF support. It is essential to maintain this momentum by
         completing ISO certification for laboratories and meeting the other criteria that will allow Benin and
         Niger to transition from RCoS to RCoE, like Senegal and Ghana, and improve their positions in the
         regional research sphere.
    ▪    A large number of implementing partners or agencies benefited from WAAPP institutional support
         in the form of renewed infrastructure, facilities, equipment, and capacity building in line with the


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         policies of participating countries to enhance human resources for the attainment of development
         objectives.
    ▪    National committees for seeds, fertilizers, and pesticides were created in line with regional
         regulations. Before the project, most countries had no seed system (or a dysfunctional system),
         particularly in the MRU. Under WAAPP-1C, national seed committees are operating particularly well
         and meeting regularly. National seed laboratories of all participating countries have been built or
         rehabilitated, equipped, and entered into operation. Countries also received fixed or mobile seed
         processing plants to clean, grade, and guarantee the quality of certified seed. These efforts have
         resulted in efficient seed certification and increased seed production in participating countries—one
         of the most successful aspects of WAAPP. The next step is for countries to involve accredited private
         agents in seed certification, given the increase in private seed production.
    ▪    The AF brought CSOs into WAAPP-1C as key partners to build citizen engagement. Numerous NGOs,
         associations, and other CSOs gained opportunities to learn from the project, interact with
         beneficiaries, and share their feedback for the project to improve beneficiary satisfaction and project
         impacts.
    ▪    Through WAAPP, CORAF has elevated its profile as a strong regional coordination and networking
         institution. With its confirmed capacity to coordinate and facilitate the groundbreaking and cutting-
         edge research outputs needed to unlock agricultural potential in West and Central Africa, CORAF
         well deserves the technical role assigned to it by ECOWAS. Under WAAPP, CORAF connected the
         national research systems to each other, and to regional and global forums, and it fostered
         partnerships and networking through face-to-face events and online communities. It has established
         a strong communication and knowledge management system to foster those connections and
         provide greater visibility for CORAF programs and products, including a digital repository of regional
         agricultural technologies. It is well positioned to pursue new funding opportunities and cooperation
         with other development partners supporting regional objectives, such as its partnerships with
         USAID, the EU, and Swiss Development Cooperation to build on WAAPP achievements.

     Mobilizing Private Sector Financing

 64.      At various levels and from diverse perspectives, the private sector has been a close partner during
 the implementation of WAAPP-1C. The IPs were instrumental in connecting value chain actors, including
 private sector actors, to speed technology dissemination and adoption and better match supply and demand
 for agricultural commodities. Because private actors in the value chains for priority commodities were
 viewed as primary end-users of the T&I generated under the project, they participated in setting research
 priorities and analyzing the implications of research results for agribusiness.
 65.      By attracting private sector financing for entrepreneurship based on T&I generated through the
 project, WAAPP-1C has supported the Mobilizing Finance for Development (MFD) agenda in the agri-food
 sector. In all of the participating countries, the private sector is coming to see the potential of investing in
 agriculture as a business. Box 5 highlights some of the WAAPP-1C success stories in supporting the MFD agenda.
 WAAPP-1C has raised the profile of certified seed production as an attractive agribusiness for the private
 sector, given the increasing regional and national demand for seed of good quality, and set up an especially
 effective IP to add value to pineapple production in Benin. The project also supported private investments



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 in the production of baked goods with composite flour (based on local cereals or cassava) as a substitute for
 wheat flour; the production of smoked fish, dried mangos, meat jerky (kilichi), and parboiled rice; and
 manufacturing by SMEs of agricultural machinery for sustainable mechanization. Private investors have included
 retired staff (agronomists, agricultural scientists, veterinarians) of the Ministry of Agriculture and Livestock, who
 are capitalizing on their technical knowledge to start their own farms and businesses.



   Box 5: Mobilizing private investment for agri-food sector development: WAAPP-1C success stories
   Innovation Platform for pineapple in Benin. This IP exemplifies how private investment can successfully support
   development in the agri-food sector (see video link: Benin Pineapple Innovation Platform Success Story). The IP
   included pineapple producer organizations, transporters, input and packaging suppliers, and an agroprocessor
   (Promo Fruits Benin) producing pineapple juice. Through contract farming arrangements, Promo Fruits Benin
   invested CFAF150 million (US$250,000) to finance the provision of improved technology promoted by WAAPP-1C
   (fertilizer and polyethylene film) to pineapple producers. Equipped with this technology, contract farmers doubled
   their yields from 35 t/ha to 70 t/ha. In return, the company obtained an assured and timely supply of pineapple of
   the required quality for processing into juice, and it increased its competitive edge to export its product throughout
   the region. This IP, like others initiated through WAAPP, appears to be cost-efficient and sustainable, because it
   has enabled all stakeholders along the value chain to optimize their business.
   WAAPP T&I for young entrepreneurs to develop a business. For example, a young Guinean woman used an
   electric dryer acquired through WAAPP-1C to increase the capacity of her business to produce dried fruit from 6
   kg to 80 kg per week, for annual production of about 16 metric tons of dried pineapple. Her product is now sold in
   supermarkets and other shops across Guinea. In Togo, similar support helped another young entrepreneur to
   expand his poultry business and increase its gross earnings from CFAF30,000 to CFAF600,000 (US$50–1,000). In
   Niger, an improved high-capacity solar dryer, capable of processing 2–4 metric tons, combined with training in
   quality and safety standards, enabled value chain actors to improve the quality and quantity of their products, sell
   them in kiosks (protected from flies and dust), and earn more income.
   Small and medium manufacturers of agricultural equipment. In Togo, support from WAAPP enabled
   manufacturers to explore and take advantage of local engineering expertise to grow their businesses and
   contribute to agricultural mechanization that supported producers’ income-earning and labor-saving objectives.
   See also: CORAF AgripreneurTV; Young Guinean Woman Agri-Entrepreneur Success Story; Young Togolese Agri-Entrepreneur; Mini-
   tractor Low Cost by Logoutract Manufacturer; Squash seed extractor and huller 1 by Guema Concept Manufacturer; Squash seed
   extractor and huller 2; Multifunctional seed sheller alleviating women burden.




     Poverty Reduction and Shared Prosperity

 66.     By improving productivity and production, supporting entrepreneurship and job creation, and
 consequently increasing incomes, WAAPP enabled producers and other value chain actors to move farther
 away from poverty. Impact studies and evaluations by M&E teams in participating countries documented
 improvements in income of as much as several hundred percent, as noted (Annex 6.9 has more detail).
 Beneficiaries invested the additional income in improved housing, children’s education, and meeting basic
 household needs, all of which improved overall welfare.




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 67.     The integrated approach pursued by the project also helped beneficiaries diversify their sources
 of income and reduce the risk stemming from any single income source. The project generated,
 disseminated, and provided information on a wide range of T&I that enabled producers to integrate new
 options for production and processing into their ongoing activities. Innovations included the prolific Red
 Maradi goat (a robust breed that calves at 6–7 months and produces 2–3 liters of milk per calving), Wassachiè
 chicken (disease-resistant, prolific, highly valued for its meat, and producing 160–170 eggs per year,
 compared to 60–80 for other local breeds), a solar egg incubator, a fish smoking kiln (reducing cooking and
 smoking time from four days to four hours with improved quality), among others.
     Other Unintended Outcomes and Impacts
 68.      An outstanding impact of WAAPP was its contribution to regional integration among ECOWAS
 countries, overcoming the traditional francophone-anglophone divide. WAAPP developed the regional
 seed market by increasing seed production at the national level and improving and harmonizing regional
 market regulations. Although room for improvement remains, the regulations allow cross-border trade in
 seed to proceed with fewer challenges. CORAF also supported the regional seed market by connecting seed
 cooperatives and seed companies with buyers through the West Africa Seed Information Exchange (WASIX).
 Finally, WAAPP fostered the sharing of information, technology, and innovations not only through its digital
 resources but by enabling many stakeholders—agricultural scientists, recipients of scholarships, extension
 officers, farmers, farmer organizations, and other value chain actors—to travel and network, including travel
 to other countries.
 69.     By expanding the number of participating countries from 6 to 13, WAAPP-1C strengthened the
 regional and economic justification of WAAPP. In expanding the regional space for collaboration in
 developing and using agricultural T&I, WAAPP-1C also created space to increase returns to R&D investments
 within ECOWAS. The project is a story of scaling up and increasing the efficiency of technology generation
 and adoption, particularly with the January 2017 AF from national IDA for Benin, Guinea, Niger, and Togo.
 Under the AF, which represented only 28 percent of WAAPP-1C financing, project targets increased between
 200 percent and 300 percent of the original targets, and they were overwhelmingly met—an impressive
 achievement under any circumstances.
 70.      WAAPP-1C developed a sense of solidarity among the participating countries, which motivated
 better performance. In particular, WAAPP countries responded with unprecedented solidarity to support
 Ebola-affected countries (Sierra Leone, Liberia, and Guinea). Under CORAF coordination, they provided
 certified seed to help those countries mitigate the effects of the outbreak on agriculture and producers’
 livelihoods.
 71.     A significant outcome of WAAPP-1C is that the region is more prepared to respond to climate
 change through climate smart agriculture (CSA) for resilience and risk reduction. Despite more irregular
 and short rains in the region over the last few years, the multiplication and distribution of seed of high-
 yielding, early-maturing, and drought-resistant varieties is helping to save countries from crop failure and
 improving farmers’ resilience to climate risk. CORAF, with support from the CGIAR Research Program on
 Climate Change, Agriculture and Food Security (CCAFS), used the CSA Programming and Indicator Tool to
 assess the extent to which WAAPP interventions were climate-smart. The tool evaluates a given project or
 intervention based on three pillars of effective CSA: productivity/income, adaptation/resilience, and
 mitigation. This tool showed that the project addressed the three pillars of CSA at different levels in Benin,
 Guinea, Niger, and Togo. On average, however, 35–47 percent of WAAPP outcomes have contributed to


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 productivity, 31–35 percent to adaptation/resilience, and 26–32 percent to mitigation.
  72.     WAAPP also had an extensive digital impact
 at the local and regional level. The project developed     Box 6: WAAPP-1C digital achievements
 and experimented with many digital platforms well           • e-voucher in Guinea: Distributed 25,000
 before digital approaches became a standard feature           input kits (seed, fertilizer, and pesticide)
 of development efforts. Learning from Senegal’s               to 230,000 producers on 270,000
 experience, Niger developed an e-voucher platform to          hectares.
 disseminate improved agricultural technology, and           • e-voucher in Niger: Distributed 300
 Guinea developed an e-voucher platform to distribute          Maradi goats to 100 women, 444 metric
 government-subsidized inputs to improve targeting             tons of certified seed of maize, millet,
 and transparency. Following the WAAPP experience in           cowpeas, and vegetables to over 15,000
 Ghana, Niger piloted e-extension to provide                   beneficiary households.
                                                             • e-extension in Niger: Established a call
 agricultural advisory services more effectively to
                                                               center and provided agricultural advisory
 farmers and other value chain actors. At the regional
                                                               services to producers through voice
 level, CORAF initiated the MITA digital platform to           messages, text, and WhatsApp in six of
 facilitate regional transfer of T&I, share knowledge,         Niger’s eight regions.
 and attract participation by the private sector and         • Regional digital platform to market T&I:
 youth (who value digital approaches). CORAF also              Market for Agricultural Innovations and
 developed WASIX, a digital seed market providing              Technologies (MITA).
 information on improved varieties of seed available         • Regional digital platform to market
 throughout the region. CORAF’s Agripreneur-TV                 seed: West Africa Seed Information
 platform shares knowledge and success stories on              Exchange (WASIX).
 improved T&I developed under WAAPP through a                • Web TV for agricultural entrepreneurs:
 visual medium that is particularly well suited to             Agripreneur-TV.
 interest youth in agribusiness. Box 6 summarizes the
 project’s digital achievements.
 73.      Finally, and perhaps most important, as a flagship regional project for both ECOWAS and the
 World Bank, WAAPP-1C paved the way for the development of regional integration (RI) investment
 projects in West Africa. The WAAPP has stimulated RI operations in agriculture and other sectors through
 its pioneering design in which many countries work together, supported by innovative, efficient procedures
 for implementation and supervision at the country and regional level. The World Bank RI portfolio in West
 Africa has increased significantly to include initiatives such as Regional Sahel Pastoralism Support Project
 (PRAPS) and Sahel Irrigation Initiative Support Project (SIIP-PARIIS).


 III. KEY FACTORS THAT AFFECTED IMPLEMENTATION AND OUTCOME

 A. KEY FACTORS DURING PREPARATION

 74.     Given the success of the WAAPP-1A and 1B series, countries were eager to join the project and
 to benefit from its achievements to date. As the third horizontal expansion of the project, WAAPP-1C
 enjoyed an unprecedented and high level of political support during preparation, as the countries involved
 could foresee the potential for the project to transform their agricultural innovation systems. Although



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 some of the WAAPP-1C countries had challenges related to capacity, the solidarity across WAAPP
 countries helped to address them.
 75.    The preparation of WAAPP-1C had the advantage of building on the experience and lessons
 from WAAPP-1A and 1B. Experience with those other projects improved the design of WAAPP-1C and
 provided a very clear vision of how it could support the agricultural sector. At the regional level, the
 experience accumulated by CORAF enabled it to play its coordinating role effectively and hastened
 preparation.
 76.     Preparation of the AF for Benin, Guinea, Niger, and Togo was also rapid. The entire team was
 familiar with the project, and the participating governments were keenly interested in continuing the
 project to consolidate its achievements. Lessons from implementation contributed to design
 improvements that reflected emerging priorities such as nutrition, youth employment, and private sector
 participation.
  B. KEY FACTORS DURING IMPLEMENTATION
 77.      In general, implementation of WAAPP-1C went according to plan, except for some delay
 observed with the AF for Benin, Niger, and Togo. All 14 implementation support missions rated
 achievement of the PDO as Satisfactory. The implementation progress rating ranged between Satisfactory
 and Moderately Satisfactory (the latter rating applied to the period from January 2019 to February 2020,
 when progress in implementation was hampered by slow disbursement). A considerable effort was made
 in the last months of the AF to improve progress in implementation, procurement, and disbursement,
 which improved the project’s performance rating at closing.
 78.      As discussed, WAAPP-1C benefited from ownership and commitment by the highest
 government authorities, including the presidents of the participating countries. The regional wrap-up
 was chaired by prime ministers, ministers of finance, or ministers of agriculture and livestock, in the
 presence of their counterparts from other countries, and even sometimes by the President, in the case of
 Sierra Leone. The President of The Gambia visited project beneficiaries many times. In Guinea, the project
 team and World Bank Task Team Leader (TTL) met with the president following his request to discuss
 project implementation, and he chaired technology dissemination events held by the project. This high-
 level interest created both incentives and pressures for the project implementation teams and agencies
 to deliver, and it helped to speed disbursement (which was especially challenging for Benin, Niger, and
 Togo during the last six months) and bring implementation to a smooth closing.
 79.     When political interest devolved into political interference, however, implementation in some
 countries was affected by turnover in project staff. Gambia in particular experienced high turnover of
 WAAPP project coordinators (six times) and support staff, which seriously affected implementation. The
 situation improved toward the end of the project when management was entrusted to the Central Project
 Coordination Unit of the Ministry of Agriculture, but this arrangement also had its flaws due to the high
 turnover of unit coordinators. Instability in the oversight leadership at the Ministry of Agriculture was
 equally destructive. The ministry had more than five permanent secretaries and about an equal number
 of ministers and deputy ministers. The end results of frequent leadership changes was that the people
 who were eventually appointed were insufficiently experienced to lead implementation. A change in
 coordinators in Sierra Leone and Niger (twice) occurred when coordinators resigned to pursue other
 employment, and staff turnover was high during the last year of AF implementation, as there was no



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 prospect of a second phase. Filling vacant positions took time and slowed progress and performance to
 some extent.
 80.     On the World Bank side, the regional TTL changed, as did the co-TTL in Guinea, but the transition
 was smooth, and supervision did not falter. World Bank team support was remarkable, driven by the
 strong leadership of the regional TTL to foster team spirit, knowledge sharing, and the desire of
 participating countries to showcase their results and improve performance. Close supervision was made
 possible through support from the Trust Funds, as the World Bank budget was insufficient to finance the
 strong implementation support model developed by WAAPP-1C.
 81.     Procurement was challenging and, in some cases, delayed implementation. First, some
 countries (Niger, for example) struggled to replace any skilled procurement specialists who left the
 project. Second, procurement challenges in Benin, Niger, and Togo (particularly in cases where local
 enterprises failed to complete infrastructure on time) delayed implementation and affected disbursement
 over the closing year of the project. Owing to strong government commitment and support by the World
 Bank team, however, delays were mostly superseded by close monitoring, which occurred weekly in Benin
 and Togo over the last six months of implementation. In the end, the project closed with an overall final
 disbursement rate of 97 percent.
 82.      The Ebola outbreak inevitably affected project implementation in Sierra Leone, Liberia, and
 Guinea. Travel restrictions constrained effective field monitoring and implementation support for some
 time in the affected zones.

  IV. BANK PERFORMANCE, COMPLIANCE ISSUES, AND RISK TO DEVELOPMENT OUTCOME

    A. QUALITY OF MONITORING AND EVALUATION (M&E)

      M&E Design

  83.      Rating: Substantial. The design of M&E for WAAPP-1C was based on arrangements for WAAPP-
  1A and WAAPP-1B, with some improvements under the AF (see section I-B). The results framework was
  comprehensive, with six PDO-level results indicators and 26 IRIs (5 for Component 1, 6 for Component 2,
  9 for Component 3, and 6 for Component 4). Most of the indicators were quantitative and measurable. A
  well-thought-out M&E operations manual was prepared by CORAF for regional M&E and by each
  participating country. All key concepts and variables were clearly defined, including who was eligible to
  be counted as a beneficiary. The manual also specified: (i) data sources, (ii) method of data collection,
  including rapid appraisals and various survey methods, (iii) frequency of data collection, and (iv) entities
  responsible for data collection and processing. Even so, for a regional project the number of IRIs was high
  and made M&E somewhat resource intensive. It is worth noting that “yield of priority crops” could have
  been considered a PDO indicator to measure productivity increases, a critical outcome expected from the
  project, although consistent yield measurements are complicated to obtain, owing to variables that affect
  yield but are difficult to control for, especially weather. Some concepts, such as “technology” in PDO
  Indicator 2 (“Technologies generated by the Project with at least 15 percent productivity increase over
  the control technology”) require additional refinement. A higher number of unspecified technologies that
  only a limited number of producers can use is not necessarily better than a smaller number of
  technologies that can have a greater national or regional impact.



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      M&E Implementation

  84.      Rating: Substantial. M&E implementation was taken very seriously by the participating countries
  and CORAF. As discussed, considerable human and financial resources were deployed for M&E, given the
  high number of IRIs. As WAAPP-1C was a regional project with many project management units
  responsible for data collection, the biggest challenge was to make sure that project countries applied the
  same standards and definitions so that data could be compared and computed in a consistent manner.
  This challenge was addressed by learning from WAAPP-1A and 1B and with coordination by CORAF, which
  played a leading role in M&E. CORAF organized several regional workshops to ensure a common
  understanding of the definitions of indicators and data to be collected, and it also organized support
  missions to national teams to make sure that data were collected in a professional manner. Focal points
  responsible for M&E were in place in each country and in CORAF. CORAF set up a regional web-based
  M&E platform for countries to regularly upload their results framework so that results could be
  aggregated at the regional level. The number of beneficiaries and area planted to improved varieties were
  closely monitored, as were the spillover effects of T&I promoted by the project at the country level.
  CORAF regularly assessed data quality to help country M&E team identify and correct any double counting
  of beneficiaries, based on guidance from the M&E implementation manual. During implementation and
  especially during the mid-term review, indicators were reviewed to clarify definitions and harmonize
  concepts. The project M&E teams became strong, interconnected, and supported one another as result
  of continuous, tailored capacity building. When the CORAF M&E specialist resigned a few months prior to
  closing, the M&E specialist from Guinea provided backstopping, successfully updating the regional results
  framework until completion of the ICR.

      M&E Utilization

  85.     Rating: Substantial. During implementation support missions, all indicators were regularly
  compared in a transparent manner that required each country to justify the level of achievement of the
  PDO indicators and IRIs. Countries lagging in a specific area sought to emulate countries that had
  performed better and made great efforts to improve their performance by the time of the next
  implementation support mission. In this type of agricultural research and extension project, it is
  challenging to quantify the key variables “beneficiaries” and “benefits” and the risk of double counting is
  always present, so the team had to make a very determined effort to produce reliable data. If abnormally
  high or low achievement was reported for any indicator, the CORAF M&E specialist immediately set to
  work with the country M&E counterpart to determine the explanation and take appropriate action.
  CORAF and the implementing agencies in the participating countries used new technology (digital media,
  internet) in addition to traditional channels to communicate the project’s results effectively to different
  groups of stakeholders. WAAPP-1C results, technology success stories, and other achievements have
  been featured on community radio, national radio, television, web-tv, and online. Under the coordination
  of CORAF, the country M&E teams populated the regional MITA digital platform by collecting and
  uploading information on all 81 T&I generated and disseminated by the project. Impact studies were
  conducted when the original financing came to an end, and the outcomes are summarized in this ICR (see
  Annexes 6.8 and 6.9), but unfortunately those studies were not updated at closing for countries benefiting
  from the AF. Nevertheless, the M&E teams collected data on yield increases and income gains from the
  adoption of technologies disseminated by the project to provide some understanding of the project’s


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  development impact. This information was presented to authorities from the participating countries and
  ECOWAS at the regional wrap-up session for the project; for details, see Annex 6.9.
      Justification of Overall Rating of Quality of M&E
  86.     Rating: Substantial. In summary, WAAPP-1C had a well-prepared results framework that was
  available in a regional web-based system coordinated by CORAF, and participating countries regularly
  uploaded monitoring data into the system. These arrangements allowed the results framework to be
  updated consistently. All stakeholders gave careful attention to reliable data collection and conducted all
  studies required. M&E results were fed back into the operation and corrective actions were taken as
  appropriate. The results contributed to the MITA digital platform. Although the economic impact
  assessment done at the end of the original financing was not updated at the end of the AF for beneficiary
  countries, the M&E team collected additional outcome data related to increases in yield and income at
  project closing.

  B. ENVIRONMENTAL, SOCIAL, AND FIDUCIARY COMPLIANCE

 Environmental and social compliance
 87.      Recognizing that the potential social and environmental impacts of WAAPP-1C were expected
 to be local, site-specific, and manageable, the project was classified as a Category-B project. The
 corresponding safeguard instruments—an Environmental and Social Management Framework (ESMF)
 and Pest Management Plan (PMP)—were prepared for the original funding, updated for the AF, and
 followed for each country. Each country and CORAF had dedicated social and environmental safeguard
 specialists or focal points to oversee the implementation of social and environmental safeguards, identify
 problems, and take the appropriate mitigation actions. A capacity-building plan for these specialists,
 including national and regional workshops, was carried out under the Environmental and Social
 Management Plan (ESMP) and PMP. During implementation, World Bank social and environmental
 safeguard specialists closely supervised the safeguard measures. Integrated pest management practices
 were applied, and environmental impact assessments were performed for minor civil works. Effective
 overall implementation of social and environmental safeguards was reflected at the country and regional
 level through social and environmental screening of all competitive and commissioned subprojects and
 by monitoring implementation of the ESMPs for competitive subprojects. In some countries, the
 implementation of subproject ESMPs underscored difficulties in maintaining hygiene, health, and safety
 standards, including the low use of personal protective equipment, absence of fire extinguishers, failure
 to register employees with the National Social Security Fund, absence of medical first aid, and absence of
 sanitary facilities for employees.
 88.     The World Bank’s involuntary resettlement policy was triggered, but no negative social impacts
 occurred. The research projects financed by the national and regional CARGS were mainly directed to the
 needs of smallholder farmers, including women. They formed part of CORAF’s regional gender strategy to
 mainstream gender considerations in technology generation and adoption. WAAPP is a well-known
 project and highly appreciated by many farmers and stakeholders across ECOWAS countries. The adoption
 of hundreds of new agricultural technologies developed under the WAAPP series over the past decade
 has had positive, growing, and potentially lasting cultural, social, and economic impacts in beneficiary
 communities. These impacts are likely to be augmented as a result of the project’s strong capacity-building



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 program, especially its support for 478 advanced degrees in disciplines pertinent to agricultural
 development. Over the past decade, this support has renewed interest in the agricultural sciences and
 agricultural sector among young men and women.
 Fiduciary compliance
 89.      CORAF and each country coordination unit had a cohort of financial and procurement
 specialists. Financial management (FM) and procurement assessments conducted by World Bank
 specialists during preparation concluded that arrangements in all beneficiary countries were adequate to
 meet the World Bank’s minimum fiduciary requirements. Audit reports and interim financial reports from
 the various executing agencies were received, albeit at times with delays. Annual procurement plans were
 established and regularly reviewed during project implementation support missions.
 90.      Even with these arrangements in place, procurement challenges caused some delay in the
 implementation of the AF, particularly in Benin, Niger, and Togo, as discussed. As result, some
 infrastructure remained unfinished in Togo and Niger, along with some laboratory facilities and
 equipment in Niger, but the respective governments will complete these facilities. In Benin, some
 infrastructure works (experimental farms for seed multiplication and poultry breeding) were cancelled
 following a delayed start.

  C. BANK PERFORMANCE

  Quality at Entry

  91.       Rating: Satisfactory. The project was designed well. It was relevant and sound from an array of
  perspectives—technical, economic, political, and strategic—and fulfilled World Bank fiduciary and
  safeguard requirements. The components nurtured strong, productive interactions between research,
  extension, private enterprises, producer organizations, and civil society. As mentioned, the design and
  preparation of WAAPP benefited from the World Bank team’s experience and learning from WAAPP-1A
  (2007) and WAAPP-1B (2010). The World Bank ensured that CORAF and beneficiary countries fully
  participated in preparation, including the definition of indicators and the setting of targets. Regional
  planning exercises at the design stage optimized regional exchanges and synergies. The sense of solidarity
  that developed among WAAPP countries as a result of World Bank and CORAF support was invaluable. A
  particularly effective strategy was to involve WAAPP-1A and 1B countries in supporting their peers in
  WAAPP-1C countries, where capacity was low. Liberia and Sierra Leone had both emerged from long
  conflicts, and Togo has experienced prolonged political instability. This peer approach was valuable in
  filling gaps in human capacity, building cross-regional relationships and trust, and creating enthusiasm for
  WAAPP-1C countries to join the WAAPP regional family. The AF for Benin, Guinea, Niger, and Togo was
  designed to consolidate and scale up attainments under the original financing. The AF design with the
  revised PDO indicators better captured the project’s regional integration and technology dissemination
  activities and incorporated the new priorities mentioned earlier. Preparation of the AF involved an
  innovative approach in which successive rounds of participatory consultation and engagement with
  citizens provided input for designing AF subactivities. This approach encouraged ownership and social
  accountability among beneficiaries, whose full engagement was essential for successful implementation.
  In content and approach, the strong project design made it likely that the development outcomes would
  be achieved.



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      Quality of Supervision

  92.      Rating: Highly Satisfactory. Implementation support missions were conducted regularly in each
  country, and regional implementation supervision by CORAF was remarkable (see Box 7). Following these
  country missions, regional wrap-up
                                             Box 7: A best practice for supervision in a regional project
  missions were organized under CORAF
  coordination. At the regional wrap-        The WAAPP-1C arrangements for implementation support
  ups, the World Bank co-TTLs shared         and M&E stand out as a best practice for regional supervision
                                             that can galvanize and strengthen R&D collaboration among
  experiences across countries, and the
                                             participating countries. Under the remarkable leadership of
  CORAF team provided the regional           the World Bank regional TTL, the project developed a vibrant
  perspective. The fact that these           platform to support implementation through transparent,
  sessions gathered most of the              thorough, and rigorous country supervision missions,
  ECOWAS beneficiary countries (13 out       complemented by equally substantive regional wrap-up
  of 15) allowed for the open,               missions. Through the wrap-up missions, country teams
  transparent, and public assessment of      collaborated very effectively to assess progress, share
  the achievement of project outcomes        knowledge, and discuss and solve common challenges at the
  and intermediate outcome indicators        regional level. This approach represents a best practice for
  for each country. The overall country      supervision that WAAPP-1C can showcase to other regions
                                             within and outside Africa.
  performance rating was based on five
  agreed criteria: (i) PDO level of
  achievement against the targets; (ii)
  disbursement rates against targets; (iii)
  execution of annual work plan and budget (percent); (iv) implementation of the agreed action plan from
  the last mission (percentage of actions completed); and (v) regional activities, with number of T&I brought
  in (at least three). This practice of rating performance against benchmarks was instrumental in
  encouraging healthy competition among countries to improve implementation, and it also encouraged
  CORAF to perform to a standard commensurate with its role as the institution in charge of regional
  coordination.
  93.       Implementation encountered some roadblocks. As noted, during the last half year of the project,
  the World Bank team provided close support to boost disbursement of the AF in Benin, Niger, and Togo
  through weekly meetings reviewing implementation of the work plan and budget. This effort improved
  disbursement rates, but the team could have intervened earlier to maximize disbursement and avoid the
  final rush. As WAAPP-1C was the last in this series of operations, the final regional wrap-up organized by
  the World Bank, CORAF, and ECOWAS convened all WAAPP participating countries to assess
  achievements across ten years of WAAPP implementation, draw lessons from success and failure, and
  initiate thinking future regional initiatives.

      Justification of Overall Rating of Bank Performance

  94.     Overall World Bank performance: Satisfactory. Altogether, from design to implementation, the
  World Bank performed in proactive, participatory, flexible, and innovative ways. The project was well
  designed in terms of content and participation: aside from full engagement by WAAPP-1C countries, the
  project drew in WAAPP-1A and 1B participants to optimize regional exchanges and synergies. Adaptive



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  learning is evident in the effort to build on experience and incorporate emerging priorities into the AF
  design and activities. The well-conceived supervision framework was central to maintaining a tight focus
  on development outcomes and addressing issues as they arose. The team constantly probed for ways to
  accelerate the dissemination and adoption of research results within countries and especially across
  national borders. All fiduciary aspects of the project were monitored effectively. Despite the procurement
  challenges described under the AF, the project closed with a disbursement rate of 97 percent.

   D. RISK TO DEVELOPMENT OUTCOME
   Rating: Moderate
 95.       At completion, the risk to the project development outcome with respect to government and
 stakeholder ownership and commitment is Moderate. WAAPP-1C benefitted from ownership and
 engagement on the part of the governments, participating institutions, and the diverse array of
 stakeholders and beneficiaries. This engagement should help to sustain the project’s achievements after
 closing. For instance, the Governments of Benin and Togo have agreed to use their own financial resources
 to complete unfinished project infrastructure. All governments were pleased with WAAPP-1C
 achievements in rebuilding innovation systems to improve productivity, and they were eager to expand
 this progress through new regional funding initiatives. Cancellation of the preparation of the follow-up
 West Africa Agricultural Transformation Program (WAATP) was a disappointment, however, and countries
 are still interested in pursuing the regional integration momentum built by the three WAAPP series, and
 this may require additional support.
 96.     From an institutional perspective at both the regional and sectoral level, the risk to the project
 development outcome is Moderate. Throughout implementation of the WAAPP series, CORAF has grown
 as an institution. Its capacity for regional coordination and oversight has increased, including its capacity
 to mobilize networks of operations specialists (M&E, safeguard, fiduciary, and communication specialists).
 CORAF facilitated regional research planning and implementation by helping NCoS, RCoS, and RCoE to
 connect through annual meetings to align regional and national R&D priorities. At the WAAPP-1C biannual
 regional wrap up missions, a side meeting gathered country research systems, NCoS, RCoS, and RCoE to
 assess progress and agree on an action plan for further regional cooperation. Clearly, CORAF’s capacity to
 mobilize regional political support for the R&D achievements will be a critical determinant of whether the
 momentum established through WAAPP will be sustained or decline over time. CORAF is contributing to
 the sustainability of WAAPP-1C achievements by leveraging the USAID-funded Partnership for Agricultural
 Research, Education, and Development to continue upgrading the MITA digital platform and to involve
 the maize RCoS in Benin, and the EU-funded Development Smart Innovation through Research in
 Agriculture 2020 initiative and involving the maize RCoS in Benin. It is hoped that through these efforts
 CORAF will continue to gain visibility and trust and will be considered a prospective partner by other
 development agencies. Strong financial support is essential for CORAF to maintain its current institutional
 standing and keep serving the innovation system of West and Central Africa.
 97.      From an institutional perspective at the country level, the risk to the project development
 outcome is also Moderate. WAAPP-1C succeeded in transforming moribund national agricultural
 innovation systems into active systems. The project established NCoS and RCoS, built research
 infrastructure, developed laboratories and supplied equipment, and trained a new generation of
 agricultural scientists at the MSc and PhD level. The revitalized innovation systems generated and
 disseminated improved T&I and developed effective networks with other national, regional, and


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 international research systems, including the CGIAR. All of these actions have opened new avenues for
 national innovation systems to develop and raise their profile at the regional and global level.
 98.      From a financial standpoint, the risk to the project development outcome is Substantial. Huge
 progress in rebuilding national innovation systems cannot be maintained without a sustainable financing
 mechanism for R&E. The lack of financial resources to fund activities and programs may prevent the NCoS,
 RCoS, and the country research institutions from steadily generating and transferring T&I to producers
 and other value chain actors. Unless governments increase their investment in the agricultural sector by
 allocating at least 1 percent of the public budget to agricultural innovation, as specified by CAADP, the
 sustainability of WAAPP research achievements could be threatened. The lack of regional funding from
 ECOWAS or other donors may prevent the upgraded RCoS on livestock in Niger and maize in Benin from
 sustaining a regional research agenda that reflects the needs of individual countries. Dependency on
 donor funding may cause these institutions to drift away from their respective specializations.
 99.     The political risk to the project development outcome is also Moderate. The prospects for future
 agricultural cooperation and exchange in the region depend heavily on continued political stability as
 being observed and the development of a more closely integrated economic space in the ECOWAS
 countries. The continued effective implementation and use of e-vouchers in Niger and Guinea will depend
 on decisions by national policy makers. The political will for these undertakings needs to be maintained
 and strengthened to ensure the sustainability of this important reform initiated under WAAPP-1C.
 100.    Finally, COVID-19 presents a new dimension of risk that cannot be ignored. The curtailment of
 economic activity, disruption of food and agricultural systems, and urgent need for governments to focus
 resources on countering the pandemic will make it increasingly challenging to sustain the full spectrum of
 investments under WAAPP-1C. At the same time, the achievements of WAAPP-1C have positioned
 governments to mount a more comprehensive response to the pandemic. The COVID-19 emergency seed
 programs prepared by the governments are possible only because seed systems were strengthened under
 the project. Most WAAPP-1C countries now have enough certified seed of improved varieties available,
 or they can acquire it within the sub-region. Ten years ago, they would have been forced to import seed
 from more distant sources—a fact that underscores the value of sustaining WAAPP investments.

 V. LESSONS AND RECOMMENDATIONS

 ▪   From a regional perspective
 101.    An effective regional organization like ECOWAS was key to the success of the WAAPP series.
 ECOWAS designated and supported CORAF, the regional implementing body to coordinate the activities
 of WAAPP. WAAPP was successful because it had strong ownership from the participating member
 countries.
 102.    A regional project, implemented successfully, can be a real driver of regional integration,
 motivating participating countries to cooperate beyond the traditional francophone/anglophone
 divide. The mixture of productive competition, exchange of information and technology at the annual
 WAAPP fair, mutual support, and solidarity developed among the WAAPP countries (the rapid response
 to the Ebola outbreak is only one example) is an outstanding development outcome that any regional
 project would wish to emulate.




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 103.     The interdependence of national agricultural innovation systems can strengthen resilience to
 shocks at the national and regional level, regardless of whether those shocks are related to climate
 change, market volatility, or a pandemic. CORAF has demonstrated its capacity for regional coordination
 and has formed good partnerships with the private seed sector, including cooperatives, which may be
 highly useful in the context of the COVID-19 pandemic. Already, the strong seed systems built under
 WAAPP are enabling governments to move rapidly and strategically to increase domestic food production
 and limit vulnerability to food insecurity, which could be heightened by the border closures and transport
 restrictions necessitated by the pandemic.
 104.     A regional approach to agricultural development remains very relevant to speed Africa’s
 agricultural transformation. It is far from obvious that the achievements attained through WAAPP-1C
 could be realized by projects focused on individual countries. African countries share a number of
 constraints that could be addressed more efficiently through a regional approach based on shared
 resources. Evidence from WAAPP shows that a regional approach can rationalize and optimize the use of
 Africa’s scarce resources to develop regionally relevant mechanisms and tools and achieve development
 impacts more rapidly in individual countries and throughout the region. The regional approach of WAAPP-
 1C was instrumental for successful collaboration in developing and sharing T&I across borders, as well as
 for streamlining trade in agricultural inputs and outputs. The peer learning and benchmarking of progress
 reinforced the commitment of each participating country to achieve the development outcomes. All in
 all, in West Africa, a regional approach is probably the best way to harness the benefits of modern
 technologies, overcome the limitations of innovation systems that are too small to produce meaningful
 results working alone, and increase agricultural productivity for millions of farmers.
 ▪   Project time frame
 105.     Development is essentially a long process that is supported most effectively through long-term
 investments that favor continuous progress and growth. The key to the overall success of WAAPP is that
 its implementation spanned a full decade. WAAPP-1C achieved a great deal, and countries benefiting from
 the AF were granted eight years to implement their activities. Much more could have been achieved,
 however, if the original adaptable program lending instrument had permitted at least ten years of
 implementation as the first series (WAAPP-1A and 2A). In that case, for instance, the Sierra Leone NCoS
 on mangrove rice, Benin RCoS on maize, and Niger RCoS on livestock could have becomes RCoEs like their
 counterparts in Ghana and Senegal rather than leaving an unfinished development agenda. Long-term
 program lending is critical because coordinated generation, dissemination, and adoption of improved
 technologies requires institution building over the course of many years.
 ▪   Innovative regional coordination financing mechanism
 106.     WAAPP literally “invented” a good practice for regional projects, whereby a certain percentage
 of country proceeds (1/15) is retroceded to the regional coordination entity (CORAF) for project regional
 activities, management, and subsidiarity. This practice has also been instructive for participating
 countries (everything comes with a price tag) and critical for country oversight of regional activities and
 regional commitment to serving country needs. The precedent for regional coordination set by WAAPP
 has made it easier for other regional projects to negotiate similar operational/financial arrangements.
 107.   Additional resources from trust funds (TF) are critical to the successful implementation of a
 regional project. Additional TF resources (PHRD, FPCR-MDTF) allowed regular in-country field missions



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 and regional wrap-up missions, which were vital to success, as noted in Box 7. The lesson from this
 experience is that it is important for a regional project to benefit from resources other than World Bank
 budget to exert strong leadership and undertake in-depth implementation support, particularly during a
 regional project’s first years.
 ▪   M&E and communication
 108.    The WAAPP results framework was somewhat complex, with many indicators. Although the
 indicators were relevant, they were costly in terms of time and human and financial resources. For a
 regional project covering many countries, the results framework should be streamlined to include critical
 PDO and intermediate results indicators, which would ease data collection and analysis at the national
 and regional level.
 109.     In addition to the good country impact studies done to assess the impacts on productivity and
 livelihoods of beneficiaries, a regional experimental study investigating the higher-level of impacts of
 WAAPP-1C on the wider agricultural sector at the country and regional level, would be of interest too.
 It is critical to plan for a comprehensive regional impact study that will begin at the start of the
 intervention and going beyond social and economic impacts on direct beneficiary populations, to measure
 the macro-economic impact on the food sector at country and regional level and make recommendations
 to consolidate the gains. For a new regional agricultural program, it is recommended to reinforce CORAF’s
 core staff with an M&E team, including impact assessment specialists, to implement experiments
 throughout implementation. Given the relatively high cost of a regional impact assessment, however, the
 mobilization of other sources of funding beyond IDA, such as TFs and Externally Funded Outputs, would
 be helpful.
 110.    Communication is critical for any project. WAAPP-1C was well known at the regional level. CORAF
 and participating countries issued an impressive array of communication materials (leaflets, booklets,
 manuals, videos, and other digital media), but there is little evidence that the project realized the full
 potential of these various communication approaches. It is important to investigate the effectiveness of
 different communication approaches for disseminating information on improved T&I and raising
 awareness of project achievements.
 ▪   Gender tagging
 111.     A gender-responsive, gender-tagged regional project requires the development of a sound
 regional gender mainstreaming strategy, a gender screening tool, and national gender action plans. At
 the beginning of WAAPP-1C, it was not certain that the project would meet the target for 40 percent of
 beneficiaries to be female. The gender strategy and action plans made it possible for the project to
 definitively adopt a gender approach, however. The project developed a clear understanding of men’s
 and women’s activities in agricultural value chains, along with the gender constraints involved, to inform
 the research program and ensure that it would generate technologies addressing women’s and men’s
 specific constraints. The actors involved in implementation received training to build a gender-sensitive
 team. Consequently, the project was able to address gender-specific needs to improve productivity and
 income, close the gap in women’s access to improved T&I, and enhance family welfare.




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 ▪   Mobilizing Funding for Development though Innovation Platforms
 112.     The IPs were instrumental in implementing a value chain approach that supported the MFD
 agenda by encouraging private sector participation. As the many WAAPP-1C success stories show,
 promoting the adoption of improved T&I through IPs enabled the project to build win-win partnerships
 among value chain actors, including the private sector. The most notable example of MFD under WAAPP-
 1C was the mobilization of private sector funding to support producers’ access to improved technologies
 through contract farming, which made it possible to replace the government input subsidy with the
 private financing of production inputs for contract farmers.
 ▪   Building on WAAPP success moving forward
 113.    WAAPP had remarkable success in rebuilding country seed systems, which are poised to
 develop into vibrant seed industries. The next step is to move beyond seed grower cooperatives and seed
 producer associations and involve the private sector more actively in multiplying foundation and certified
 seed and perhaps even in seed certification. Opening the market to private seed companies will allow
 seed production to expand to meet local demand. Although WAAPP initiated this process, it must be
 encouraged so that countries can benefit from a real seed industry that can promote wide adoption of
 improved varieties with less intervention from governments to ensure sustainability. Most of the world’s
 successful seed systems have transferred responsibility for commercial seed production and sales as well
 as some regulatory oversight of the industry to the private sector.
 114.     Building upon the legacy of WAAPP, the future of the innovation system (R&D) lies in
 strengthening opportunities to collaborate with the private sector to enhance value chain development
 as a driver of technology adoption on a wider scale. Aspects of the project that created incentives to
 increase private sector participation, such as the IPs, the development of seed systems that provide space
 for private firms to multiply foundation seed, or the increased use of digital disruptive technologies and
 IT to support cross-border flows of genetic material, offer lessons that resonate with more forward-
 looking and modern R&D systems.
 115.     Improvements in regional trade are critical to increase agricultural productivity and develop
 value chains. Under WAAPP-1C, a range of cross-border issues made the transfer of T&I slow and costly.
 A regional trade policy must be adopted and effectively enforced to promote the regional transfer of
 agricultural T&I. Such a policy is required now more than ever, given that a stock of highly promising and
 transformative technologies has been developed but has not been fully transferred across the region. It
 is highly recommended that ECOWAS act on trade policy along with enforcement mechanisms at the
 country level to ensure the policy’s effectiveness. The implementation of AfCFTA could be helpful.
 116.    The e-voucher input subsidy platform piloted in Niger and Guinea needs to be developed and
 supported. This digital response to the recurrent problem of targeting and transparency dramatically
 improves the efficiency and development impact of input subsidy programs. Strong policy dialogue will
 be required to marshal the political support to implement e-vouchers successfully.
 117.    Two other focus areas are priorities for regional collaboration: sustainable mechanization and
 better water control to increase resilience to climate change. WAAPP has significantly strengthened the
 capacity of the science and technology system to promote innovations that increase agricultural
 productivity and disseminate them widely to farmers and other value chain actors. Similar success in
 mechanization and irrigation could be achieved if the upcoming regional project and ongoing SIIP-PARIIS


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     were strengthened with additional funding. Those achievements would modernize agricultural food
     systems, moving West Africa closer to agricultural transformation.
     ▪   Teaming up approach
     118.    Task team spirit matters a lot in the success of a regional project. WAAPP created a uniquely
     supportive task team that developed a strong relationship with country partners. If any future regional
     project is to succeed, it must build on this strong foundation. Indeed, the joint task team of the World
     Bank, CORAF, and ECOWAS governments was the principal key to WAAPP’s success. The lesson to draw
     here is that institutional cooperation and partnership, joint commitment, mutual responsibility, and a
     common drive to ensure success must be animated by strong sense of leadership. This spirit was
     embodied by the TTL. During the final regional wrap-up of WAAPP-1C, the assembled colleagues from
     ECOWAS, CORAF, and all WAAPP beneficiary countries provided meaningful testimonials to his
     exceptional leadership and achievements.




.




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                                                ANNEX 1. RESULTS FRAMEWORK AND KEY OUTPUTS



A. RESULTS INDICATORS

A.1 PDO Indicators


 Objective/Outcome: Generate and accelerate adoption of improved technologies in the participating countries
                                                                                                    Formally Revised   Actual Achieved at
 Indicator Name                    Unit of Measure Baseline                Original Target
                                                                                                    Target             Completion

 Direct project beneficiaries      Number          0.00                    3550000.00                                  4037495.00

                                                   24-Mar-2011             31-Dec-2019                                 16-Apr-2020

   Direct Project beneficiaries    Number          0.00                    200000.00                                   288083.00
   - Sierra Leone
                                                   24-Mar-2011             31-Dec-2016                                 31-Dec-2016


   Female beneficiaries            Percentage      0.00                    40.00                                       47.00




   Direct Project beneficiaries-   Number          0.00                    200000.00                                   241040.00
   Liberia
                                                   24-Mar-2011             31-Dec-2016                                 31-Dec-2016


   Female beneficiaries            Percentage      0.00                    40.00                                       54.00


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Direct Project benenficiaries    Number        0.00                    250000.00     900000.00     974890.00
- Benin
                                               24-Mar-2011             17-Jul-2019   31-Dec-2019   09-Jan-2020


Female beneficiaries             Percentage    0.00                    40.00                       41.00




Direct Project beneficiaries     Number        0.00                    100000.00                   136494.00
-Gambia
                                               24-Mar-2011             31-Dec-2016                 31-Dec-2016


Female beneficiaries             Percentage    0.00                    40.00                       60.00




Direct Project beneficiaries -   Number        0.00                    200000.00     500000.00     613610.00
Togo
                                               24-Mar-2011             30-Dec-2016   31-Dec-2019   09-Jan-2020


Female beneficiaries             Percentage    0.00                    40.00                       41.00




Direct Project beneficiaries -   Number        0.00                    450000.00     700000.00     664455.00


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 Niger                                            24-Mar-2011           30-Dec-2016       31-Dec-2019        16-Apr-2020


 Female beneficiaries             Percentage      0.00                  40.00                                49.00




 Direct Project beneficiaries     Number          0.00                  200000.00         800000.00          817923.00
 - Guinea
                                                  24-Mar-2011           30-Dec-2016       31-Dec-2019        09-Jan-2020


 Female beneficiaires             Percentage      0.00                  40.00                                42.10




 Direct Project beneficiaries -   Number          0.00                  150000.00                            301200.00
 Cote d'Ivoire (Japan PHRD
 TF)                                              24-Mar-2011           30-Dec-2016                          31-Dec-2016


 Female beneficiaries             Percentage      0.00                  40.00                                49.00



Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                    Unit of Measure Baseline              Original Target
                                                                                          Target             Completion



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Technologies generated by        Number          0.00                   45.00             60.00              81.00
the Project with at least 15%
productivity increase over the                   24-Mar-2011            30-Dec-2016       30-Dec-2020        09-Jan-2020
control technology
(cumulative, disag by ctry)

 Technologies generated by       Number          0.00                   8.00              10.00              11.00
 the Project- Niger
                                                 24-Mar-2011            30-Dec-2016       31-Dec-2019        09-Jan-2020


 Technologies generated by       Number          0.00                   14.00             20.00              26.00
 the Project - Benin
                                                 24-Mar-2011            30-Dec-2016       31-Dec-2020        09-Jan-2020


 Technologies generated by       Number          0.00                   5.00                                 14.00
 the Project- Sierra Leone
                                                 24-Mar-2011            31-Dec-2016                          31-Dec-2016


 Technologies generated by       Number          0.00                   10.00             15.00              16.00
 the Project - Guinea
                                                 24-Mar-2011            30-Dec-2016       31-Dec-2019        09-Jan-2020

Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                   Unit of Measure Baseline               Original Target
                                                                                          Target             Completion

Area under improved              Hectare(Ha)     0.00                   1908000.00        2908000.00         4699416.00


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technologies disseminated                       24-Mar-2011             30-Dec-2016   31-Dec-2019   09-Jan-2020
under the project

 Area under improved           Hectare(Ha)      0.00                    400000.00     600000.00     555454.00
 technologies - Benin
                                                24-Mar-2011             30-Dec-2016   31-Dec-2019   09-Jan-2020


 Area under improved           Hectare(Ha)      0.00                    110000.00                   101669.00
 technologies - Liberia
                                                24-Mar-2011             31-Dec-2016                 31-Dec-2016


 Area under improved           Hectare(Ha)      0.00                    70000.00                    113881.00
 technologies - Sierra Leone
                                                24-Mar-2011             31-Dec-2016                 31-Dec-2016


 Area under improved           Hectare(Ha)      0.00                    650000.00     1000000.00    2793265.00
 technologies - Niger
                                                24-Mar-2011             30-Dec-2016   31-Dec-2019   31-Dec-2019


 Area under improved           Hectare(Ha)      0.00                    200000.00     350000.00     364547.00
 technologies - Togo
                                                24-Mar-2011             31-Dec-2019   31-Dec-2019   31-Dec-2019


 Area under improved           Hectare(Ha)      0.00                    70000.00                    56000.00
 technologies - Gambia
                                                24-Mar-2011             31-Dec-2016                 31-Dec-2016


 Area under improved           Hectare(Ha)      0.00                    300000.00     600000.00     616450.00



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 technology - Guinea                            24-Mar-2011             30-Dec-2016       31-Dec-2019        31-Dec-2019


 Area under improved            Hectare(Ha)     0.00                    108000.00                            98150.00
 technologies - Cote d'Ivoire
 (Japan PHRD TF)                                24-Mar-2011             30-Dec-2016                          31-Dec-2016

Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                  Unit of Measure Baseline                Original Target
                                                                                          Target             Completion

Beneficiaries who are using     Number          2500.00                 160000.00         600000.00          451479.00
technology generated by
other countries NCOS (at                        18-Nov-2016             30-Dec-2016       31-Dec-2019        31-Dec-2019
least 3, cumulative)

 Beneficiaries who are using    Number          6000.00                 10000.00          100000.00          101302.00
 technology generated by
 other countries (years,                        18-Nov-2016             30-Dec-2016       31-Dec-2019        31-Dec-2019
 cumulative) - Togo


 Beneficiaries who are using    Number          11500.00                50000.00          150000.00          137580.00
 technology generated by
 other countries (years,                        18-Nov-2016             30-Dec-2016       31-Dec-2019        31-Dec-2019
 cumulative) -Niger


 Beneficiaries who are using    Number          50000.00                50000.00          200000.00          200196.00



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   technology generated by                            18-Nov-2016         30-Dec-2016       31-Dec-2019        31-Dec-2019
   other countries. (years,
   cumulative) - Guinea


   Beneficiaries who are using     Number             1500.00             50000.00          150000.00          12401.00
   technology generated by
   other countries. (years,                           18-Nov-2016         30-Dec-2016       31-Dec-2019        31-Dec-2019
   cumulative) - Benin

 Comments (achievements against targets):
This the only PDO indicator target that was not met at regional level.




                                                                                            Formally Revised   Actual Achieved at
 Indicator Name                    Unit of Measure Baseline               Original Target
                                                                                            Target             Completion

 Beneficiaries who are using       Number             50000.00            50000.00          200000.00          200196.00
 technology generated by
 other countries. (years,                             18-Nov-2016         30-Dec-2016       31-Dec-2019        31-Dec-2019
 cumulative) - Guinea


 Comments (achievements against targets):



                                                                                            Formally Revised   Actual Achieved at
 Indicator Name                    Unit of Measure Baseline               Original Target
                                                                                            Target             Completion



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Processors/producers who       Number           0.00                    1410000.00    2210000.00    2463003.00
have adopted at least one
new technology, made                            24-Mar-2011             30-Dec-2016   31-Dec-2019   31-Dec-2019
available by the project

 Processors/producers who      Number           0.00                    300000.00     500000.00     502086.00
 have adopted at least one
 new technology, made                           24-Mar-2011             30-Dec-2016   31-Dec-2019   31-Dec-2019
 available by the project-
 Benin


 Processors/producers who      Number           0.00                    90000.00                    103604.00
 have adopted at least one
 new technology - Liberia                       24-Mar-2011             31-Dec-2016                 31-Dec-2016


 Processors/producers who      Number           0.00                    120000.00                   249164.00
 have adopted at least one
 new technology - Sierra                        24-Mar-2011             31-Dec-2016                 31-Dec-2016
 Leone


 Processors/producers who      Number           0.00                    350000.00     500000.00     483602.00
 have adopted at least one
 new technology, made                           24-Mar-2011             30-Dec-2016   31-Dec-2019   31-Dec-2019
 available by the project -
 Niger


 Processors/producers who      Number           0.00                    200000.00     350000.00     422971.00
 have adopted at least one
 new technology, made                           24-Mar-2011             30-Dec-2016   31-Dec-2019   31-Dec-2019


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 available by the project-
 Togo


 Processors/producers who      Number           0.00                    60000.00                             69139.00
 have adopted at least one
 new technology - Gambia                        24-Mar-2011             31-Dec-2016                          31-Dec-2016


 Processors/producers who      Number           0.00                    200000.00         500000.00          515057.00
 have adopted at least one
 new technology, made                           24-Mar-2011             30-Dec-2016       31-Dec-2019        31-Dec-2019
 available by the project-
 Guinea


 Processors/producers who      Number           0.00                    90000.00                             123680.00
 have adopted at least one
 new technology - Cote                          24-Mar-2011             30-Dec-2016                          31-Dec-2016
 d'Ivoire (Japan PHRD TF)

Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                Unit of Measure Baseline                  Original Target
                                                                                          Target             Completion

Producer with knowledge of     Percentage       0.00                    75.00                                82.00
technologies
generated/released by the                       18-Nov-2016             31-Dec-2019                          31-Dec-2019
project (by country)



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  Producer with knowledge of     Percentage       0.00                     75.00                                   84.00
  technologies
  generated/released by the                       18-Nov-2016              31-Dec-2019                             31-Dec-2019
  project (by country) - NIGER


  Producer with knowledge of     Percentage       0.00                     75.00                                   87.00
  technologies
  generated/released by the                       18-Nov-2016              31-Dec-2019                             31-Dec-2019
  project (by country) - TOGO


  Producer with knowledge of     Percentage       0.00                     75.00                                   80.00
  technologies
  generated/released by the                       18-Nov-2016              31-Dec-2019                             31-Dec-2019
  project (by country) -
  GUINEA


  Producer with knowledge of     Percentage       0.00                     75.00                                   77.00
  technologies
  generated/released by the                       18-Nov-2016              31-Dec-2019                             31-Dec-2019
  project (by country) - BENIN

Comments (achievements against targets):




A.2 Intermediate Results Indicators

 Component: Enabling conditions for Sub-regional Cooperation in Generation, Dissemination and Adoption of Techno



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                                                                                          Formally Revised   Actual Achieved at
Indicator Name                   Unit of Measure Baseline               Original Target
                                                                                          Target             Completion

National regulations on          Number          0.00                   21.00                                21.00
genetic materials, fertilizer,
and pesticides aligned to                        24-Mar-2011            30-Dec-2019                          31-Dec-2019
regional (ECOWAS)
regulations and adopted

 Benin                           Number          1.00                   3.00                                 3.00

                                                 24-Mar-2011            17-Jul-2019                          31-Dec-2019


 Gambia                          Number          0.00                   2.00                                 2.00

                                                 24-Mar-2011            31-Dec-2016                          31-Dec-2016


 Liberia                         Number          0.00                   3.00                                 3.00

                                                 24-Mar-2011            31-Dec-2016                          31-Dec-2016


 Niger                           Number          1.00                   3.00                                 3.00

                                                 24-Mar-2011            17-Jul-2019                          31-Dec-2019


 Sierra Leone                    Number          0.00                   4.00                                 4.00

                                                 24-Mar-2011            31-Dec-2016                          31-Dec-2016




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 Togo                            Number          0.00                   3.00                                 3.00

                                                 24-Mar-2011            17-Jul-2019                          31-Dec-2019


 Guinea (Japan PHRD TF)          Number          0.00                   3.00                                 3.00

                                                 24-Mar-2011            30-Dec-2016                          31-Dec-2019

Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                   Unit of Measure Baseline               Original Target
                                                                                          Target             Completion

Regulations for fertilizer at    Yes/No          N                      Y                                    Y
ECOWAS level developed and
adopted                                          24-Mar-2011            30-Dec-2016                          31-Dec-2019


Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                   Unit of Measure Baseline               Original Target
                                                                                          Target             Completion

A system for data collection,    Yes/No          N                      Y                                    Y
analysis and reporting on ag
technologies, research skills,                   24-Mar-2011            30-Dec-2016                          31-Dec-2019
and ag productivity
established at national and


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regional (CORAF) level

 System for data collection   Yes/No           N                       Y             Y
 established - Guinea
                                               24-Mar-2011             30-Dec-2016   31-Dec-2019


 System for data collection   Yes/No           N                       Y             Y
 established - Benin
                                               24-Mar-2011             30-Dec-2016   31-Dec-2019


 System for data collection   Yes/No           N                       Y             Y
 established - Gambia
                                               24-Mar-2011             30-Dec-2016   31-Dec-2019


 System for data collection   Yes/No           N                       Y             Y
 established - Liberia
                                               24-Mar-2011             30-Dec-2016   31-Dec-2016


 System for data collection   Yes/No           N                       Y             Y
 established - Niger
                                               24-Mar-2011             30-Dec-2016   31-Dec-2019


 System for data collection   Yes/No           N                       Y             Y
 established - Sierra Leone
                                               24-May-2011             30-Dec-2016   31-Dec-2016


 System for data collection   Yes/No           N                       Y             Y
 established - Togo
                                               24-Mar-2011             30-Dec-2016   31-Dec-2019


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 System for data collection    Yes/No           N                       Y                                    Y
 established - CORAF
                                                24-Mar-2011             30-Dec-2016                          31-Dec-2019

Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                 Unit of Measure Baseline                 Original Target
                                                                                          Target             Completion

Hits for the national web-     Number           0.00                    550000.00                            12379355.00
based information system on
ag technologies and research                    24-Mar-2011             31-Dec-2019                          31-Dec-2019
skills

 Hits for web-based info       Number           0.00                    10000.00                             87500.00
 system - Guinea
                                                24-Mar-2011             31-Dec-2019                          31-Dec-2019


 Hits for web-based info       Number           0.00                    20000.00                             28170.00
 system - Benin
                                                24-Mar-2011             31-Dec-2019                          31-Dec-2019


 Hits for web-based info       Number           0.00                    0.00                                 0.00
 system - Gambia
                                                24-Mar-2011             31-Dec-2016                          31-Dec-2016


 Hits for web-based info       Number           0.00                    0.00                                 1000.00


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  system - Liberia                               24-Mar-2011             31-Dec-2016                          31-Dec-2016


  Hits for web-based info        Number          0.00                    10000.00                             101370.00
  system - Niger
                                                 24-Mar-2011             31-Dec-2019                          31-Dec-2019


  Hits for web-based infor       Number          0.00                    0.00                                 2270.00
  system - Sierra Leone
                                                 24-Mar-2011             31-Dec-2016                          31-Dec-2016


  Hits for web-based info        Number          0.00                    10000.00                             132833.00
  system - Togo
                                                 24-Mar-2011             31-Dec-2019                          31-Dec-2019

 Comments (achievements against targets):
CORAF achieved 12,029,482 hits in total.




                                                                                           Formally Revised   Actual Achieved at
 Indicator Name                  Unit of Measure Baseline                Original Target
                                                                                           Target             Completion

 National/regional action plan   Number          0.00                    24.00                                26.00
 on gender, communication,
 climate change developped                       24-Mar-2011             31-Dec-2019                          31-Dec-2019

  Action plans - Benin           Number          0.00                    3.00                                 4.00



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                                                24-Mar-2011             31-Dec-2019   31-Dec-2019


 Action plans - Gambia         Number           0.00                    3.00          3.00

                                                24-Mar-2011             30-Dec-2016   31-Dec-2016


 Action plans - Liberia        Number           0.00                    3.00          2.00

                                                24-Mar-2011             30-Dec-2016   31-Dec-2016


 Action plans - Niger          Number           0.00                    3.00          3.00

                                                24-Mar-2011             31-Dec-2019   31-Dec-2019


 Action plans - Sierra Leone   Number           0.00                    3.00          5.00

                                                24-Mar-2011             30-Dec-2016   31-Dec-2016


 Action plans - Togo           Number           0.00                    3.00          3.00

                                                24-Mar-2011             31-Dec-2019   31-Dec-2019


 Action plans - CORAF          Number           0.00                    3.00          3.00

                                                24-Mar-2011             31-Dec-2019   31-Dec-2019

Comments (achievements against targets):



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Component: National Centers of Specialization/Strengthening of the Research System
                                                                                           Formally Revised   Actual Achieved at
Indicator Name                 Unit of Measure Baseline                  Original Target
                                                                                           Target             Completion

Technologies generated         Number            0.00                     45.00                               48.00
outside the country and
tested by a non-NCOS                             24-Mar-2011              31-Dec-2019                         31-Dec-2019
country

 Techno tested by non-NCoS     Number            0.00                     15.00                               16.00
 country - Guinea
                                                 24-Mar-2011              31-Dec-2019                         31-Dec-2019


 Techno tested by non-NCoS     Number            0.00                     12.00                               12.00
 country - Gambia
                                                 24-Mar-2011              31-Dec-2016                         31-Dec-2016


 Techno tested by non-NCoS     Number            0.00                     2.00                                2.00
 country - Liberia
                                                 24-Mar-2011              31-Dec-2016                         31-Dec-2016


 Techno tested by non-NCoS     Number            0.00                     16.00                               18.00
 country - Togo
                                                 24-Mar-2011              31-Dec-2019                         31-Dec-2019

Comments (achievements against targets):




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                                                                                          Formally Revised   Actual Achieved at
Indicator Name                Unit of Measure Baseline                  Original Target
                                                                                          Target             Completion

Technologies                   Number           0.00                    41.00                                53.00
generated/adapted by NCOS
and demonstrated by the                         24-Mar-2011             31-Dec-2019                          31-Dec-2019
project in the project area

 Techno demonstrated -         Number           0.00                    10.00                                11.00
 Niger
                                                24-Mar-2011             31-Dec-2019                          31-Dec-2019


 Techno demonstrated -         Number           0.00                    5.00                                 14.00
 Sierra Leone
                                                24-Mar-2011             31-Dec-2016                          31-Dec-2016


 Techno demonstrated -         Number           0.00                    16.00                                17.00
 Benin
                                                24-Mar-2011             31-Dec-2019                          31-Dec-2019


 Techno demonstrated -         Number           0.00                    10.00                                11.00
 Guinea
                                                24-Mar-2011             31-Dec-2019                          31-Dec-2019

Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                Unit of Measure Baseline                  Original Target
                                                                                          Target             Completion


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Technologies                    Number          0.00                    29.00                                28.00
generated/adapted by NCOS
and demonstrated in at least                    24-Mar-2011             31-Dec-2019                          31-Dec-2019
3 ECOWAS countries outside
the country of origin

 Techno demonstrated            Number          0.00                    9.00                                 13.00
 outside the country - Benin
                                                24-Mar-2011             31-Dec-2019                          31-Dec-2019


 Techno demonstrated            Number          0.00                    7.00                                 7.00
 outside the country - Niger
                                                24-Mar-2011             31-Dec-2019                          31-Dec-2019


 Techno demonstrated            Number          0.00                    3.00                                 3.00
 outside the country - Sierra
 Leone                                          24-Mar-2011             31-Dec-2016                          31-Dec-2016


 Techno demonstrated            Number          0.00                    10.00                                5.00
 outside the country -
 Guinea                                         24-Mar-2011             31-Dec-2019                          31-Dec-2019

Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                  Unit of Measure Baseline                Original Target
                                                                                          Target             Completion

Client days of training         Number          0.00                    124960.00                            199716.00


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provided (includes scientists,                  24-Mar-2011             31-Dec-2019   31-Dec-2019
extension agents, agro
dealers, farmers, community
members, etc.)

 Client days of trainings -      Number         0.00                    30000.00      27745.00
 Benin
                                                24-Mar-2011             31-Dec-2019   31-Dec-2019


 Client days of trainings -      Number         0.00                    460.00        1384.00
 Gambia
                                                24-Mar-2011             30-Dec-2016   30-Dec-2016


 Client days of trainings -      Number         0.00                    12000.00      12225.00
 Liberia
                                                24-Mar-2011             31-Dec-2016   31-Dec-2016


 Client days of trainings -      Number         0.00                    30000.00      77040.00
 Niger
                                                24-Mar-2011             31-Dec-2019   31-Dec-2019


 Client days of trainings -      Number         0.00                    11695.00      11695.00
 Sierra Leone
                                                24-Mar-2011             31-Dec-2016   31-Dec-2016


 Client days of trainings -      Number         0.00                    10000.00      13240.00
 Togo
                                                24-Mar-2011             31-Dec-2019   31-Dec-2019



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 Client days of trainings -      Number          0.00                   30000.00                             54750.00
 Guinea
                                                 24-Mar-2011            31-Dec-2019                          31-Dec-2019


 Client days of trainings -      Number          0.00                   1000.00                              1637.00
 Cote d'Ivoire (Japan PHRD
 TF)                                             24-Mar-2011            31-Dec-2019                          31-Dec-2016

Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                   Unit of Measure Baseline               Original Target
                                                                                          Target             Completion

Scientific exchange visits /     Number          0.00                   126.00                               126.00
study tours
                                                 24-Mar-2011            31-Dec-2019                          31-Dec-2019

 Scientific exchanges - Benin    Number          0.00                   45.00                                43.00

                                                 24-Mar-2011            31-Dec-2019                          31-Dec-2019


 Scientific exchanges -          Number          0.00                   5.00                                 6.00
 Gambia
                                                 24-Mar-2011            31-Dec-2016                          31-Dec-2016


 Scientifi exchanges - Liberia   Number          0.00                   2.00                                 2.00

                                                 24-Mar-2011            31-Dec-2016                          31-Dec-2016


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 Scientific exchanges - Niger    Number          0.00                   21.00                                29.00

                                                 24-Mar-2011            31-Dec-2019                          31-Dec-2019


 Scientific exchanges - Sierra   Number          0.00                   3.00                                 3.00
 Leone
                                                 24-Mar-2011            31-Dec-2016                          31-Dec-2016


 Scientific exchanges - Togo     Number          0.00                   20.00                                18.00

                                                 24-Mar-2011            31-Dec-2019                          31-Dec-2019


 Scientific exchanges -          Number          0.00                   25.00                                21.00
 Guinea
                                                 24-Mar-2011            31-Dec-2019                          31-Dec-2019

Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                   Unit of Measure Baseline               Original Target
                                                                                          Target             Completion

Scholarships (disaggregated      Number          0.00                   447.00                               478.00
by MSc and PhD)
                                                 24-Mar-2011            31-Dec-2019                          31-Dec-2019

 Scholarships - Guinea           Number          0.00                   35.00                                42.00

                                                 18-Nov-2016            31-Dec-2019                          31-Dec-2019



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  Scholarships - Benin          Number           0.00                    104.00        117.00

                                                 24-Mar-2011             31-Dec-2019   31-Dec-2019


  Scholarships - Gambia         Number           0.00                    18.00         18.00

                                                 24-Mar-2011             30-Dec-2016   31-Dec-2016


  Scholarships - Liberia        Number           0.00                    37.00         37.00

                                                 24-Mar-2011             30-Dec-2016   31-Dec-2016


  Scholarships - Niger          Number           0.00                    140.00        146.00

                                                 24-Mar-2011             31-Dec-2019   31-Dec-2019


  Scholarships - Sierra Leone   Number           0.00                    41.00         41.00

                                                 24-Mar-2011             30-Dec-2016   31-Dec-2016


  Scholarships - Togo           Number           0.00                    72.00         77.00

                                                 24-Mar-2011             31-Dec-2019   31-Dec-2019

 Comments (achievements against targets):
Achieved: 478 scholarships of which 351 MSc and 127 PhD




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Component: Funding of Demand-driven Technology Generation and Adoption
                                                                                          Formally Revised   Actual Achieved at
Indicator Name                Unit of Measure Baseline                  Original Target
                                                                                          Target             Completion

National Demand-Driven         Number           0.00                    150.00                               134.00
Research Proposals Projects
Financed by the national                        24-Mar-2011             31-Dec-2019                          31-Dec-2019
CARGS

 Project proposals financed    Number           0.00                    33.00                                41.00
 under the national CARGS -
 Benin                                          24-Mar-2011             31-Dec-2019                          31-Dec-2019


 Project proposals financed    Number           0.00                    18.00                                1.00
 under the national CARGS -
 Gambia                                         24-Mar-2011             31-Dec-2016                          31-Dec-2016


 Project proposals financed    Number           0.00                    6.00                                 0.00
 under the national CARGS -
 Liberia                                        24-Mar-2011             31-Dec-2016                          31-Dec-2016


 Project proposals finacned    Number           0.00                    24.00                                25.00
 under the national CARGS -
 Niger                                          24-Mar-2011             31-Dec-2019                          31-Dec-2019


 Project proposals financed    Number           0.00                    20.00                                3.00



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 under the national CARGS -                     24-Mar-2011             31-Dec-2016                          31-Dec-2016
 Sierra Leone


 Project proposals financed    Number           0.00                    24.00                                27.00
 under the national CARGS -
 Togo                                           24-Mar-2011             31-Dec-2019                          31-Dec-2019


 Project proposals financed    Number           0.00                    15.00                                27.00
 under the national CARGS -
 Guinea                                         24-Mar-2011             31-Dec-2019                          31-Dec-2019


 Project proposals financed    Number           0.00                    10.00                                10.00
 under the national CARGS -
 Cote d'Ivoire (Japan PHRD                      24-Mar-2011             30-Dec-2016                          31-Dec-2016
 TF)

Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                Unit of Measure Baseline                  Original Target
                                                                                          Target             Completion

Multi-country research         Number           0.00                    15.00                                13.00
proposals financed by the
regional Competitive                            24-Mar-2011             31-Dec-2019                          31-Dec-2019
Agricultural Research Grant
System (CORAF)




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Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                Unit of Measure Baseline                  Original Target
                                                                                          Target             Completion

Technologies generated         Number           0.00                    128.00                               165.00
under the national/regional
CARGS and demonstrated by                       24-Mar-2011             31-Dec-2019                          31-Dec-2019
the project in the project
areas

 Techno demonstrated -         Number           0.00                    12.00                                11.00
 CORAF
                                                24-Mar-2011             31-Dec-2019                          31-Dec-2019


 Techno demonstrated -         Number           0.00                    60.00                                78.00
 Benin
                                                24-Mar-2011             31-Dec-2019                          31-Dec-2019


 Techno demonstrated -         Number           0.00                    5.00                                 1.00
 Gambia
                                                24-Mar-2011             31-Dec-2016                          31-Dec-2016


 Techno demonstrated -         Number           0.00                    1.00                                 0.00
 Liberia
                                                24-Mar-2011             31-Dec-2016                          31-Dec-2016


 Techno demonstrated -         Number           0.00                    14.00                                29.00


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 Niger                                          24-Mar-2011             31-Dec-2019                          31-Dec-2019


 Techno demonstrated -         Number           0.00                    4.00                                 0.00
 Sierra Leone
                                                24-Mar-2011             31-Dec-2016                          31-Dec-2016


 Techno demonstrated -         Number           0.00                    11.00                                12.00
 Togo
                                                24-Mar-2011             31-Dec-2019                          31-Dec-2019


 Techno demonstrated -         Number           0.00                    15.00                                18.00
 Guinea
                                                24-Mar-2011             31-Dec-2019                          31-Dec-2019


 Technologies demonstrated     Number           0.00                    6.00                                 16.00
 - Cote d'Ivoire (Japan PHRD
 TF)                                            24-Mar-2011             30-Dec-2016                          31-Dec-2016

Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                 Unit of Measure Baseline                 Original Target
                                                                                          Target             Completion

Demonstration plots            Number           0.00                    4870.00                              7298.00
established
                                                24-Mar-2011             31-Dec-2019                          31-Dec-2019

 Demonstration plots -         Number           0.00                    1500.00                              1517.00

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 Guinea                                         24-Mar-2011             31-Dec-2019   31-Dec-2019


 Demonstration plots - Benin   Number           0.00                    1500.00       650.00

                                                24-Mar-2011             31-Dec-2019   31-Dec-2019


 Demonstration plots -         Number           0.00                    120.00        407.00
 Gambia
                                                24-Mar-2011             30-Dec-2016   31-Dec-2016


 Demonstration plots -         Number           0.00                    20.00         12.00
 Liberia
                                                24-Mar-2011             30-Dec-2016   31-Dec-2016


 Demonstration plots - Niger   Number           0.00                    300.00        494.00

                                                24-Mar-2011             31-Dec-2019   31-Dec-2019


 Demonstration plots -         Number           0.00                    230.00        221.00
 Sierra Leone
                                                24-Mar-2011             30-Dec-2016   31-Dec-2016


 Demonstration plots - Togo    Number           0.00                    1200.00       3997.00

                                                24-Mar-2011             31-Dec-2019   17-Jul-2019

Comments (achievements against targets):



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                                                                                          Formally Revised   Actual Achieved at
Indicator Name                Unit of Measure Baseline                  Original Target
                                                                                          Target             Completion

Foundation seeds and           Tones/year       0.00                    1200.00                              883.58
breeder stock produced with
the Project support -                           20-Nov-2015             31-Dec-2019                          31-Oct-2018
Cowpea

 Foundation seeds and          Tones/year       0.00                    1200.00                              883.58
 breeder stock produced
 with the Project support -                     20-Nov-2015             31-Dec-2019                          31-Dec-2019
 Cowpea -Niger

Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                Unit of Measure Baseline                  Original Target
                                                                                          Target             Completion

Foundation seeds and           Number           0.00                    20000.00                             24000.00
breeder stock produced with
the Project support - Straw                     20-Nov-2015             31-Dec-2019                          31-Dec-2019

 Foundation seeds and          Number           0.00                    20000.00                             24000.00
 breeder stock produced
 with the Project support -                     20-Nov-2015             31-Dec-2019                          31-Dec-2019
 Straw -Niger

Comments (achievements against targets):



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                                                                                          Formally Revised   Actual Achieved at
Indicator Name                Unit of Measure Baseline                  Original Target
                                                                                          Target             Completion

Foundation seeds and           Hectare(Ha)      0.00                    360.00                               300.00
breeder stock produced with
the Project support -                           24-Mar-2011             30-Dec-2016                          31-Dec-2016
Cassava

 Foundation seeds and          Hectare(Ha)      0.00                    300.00                               188.00
 breeder stock produced
 with the Project support -                     24-Mar-2011             31-Dec-2019                          31-Dec-2016
 Cassava - Sierra Leone


 Foundation seeds and          Hectare(Ha)      0.00                    60.00                                112.00
 breeder stock produced
 with the Project support -                     24-Mar-2011             30-Dec-2016                          31-Dec-2016
 Cassava - Liberia

Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                Unit of Measure Baseline                  Original Target
                                                                                          Target             Completion

Foundation seeds and           Metric ton       0.00                    1040.00                              2611.00
breeder stock produced with
the Project support - Maize                     20-Nov-2015             31-Dec-2019                          31-Dec-2019

 Foundation seeds and          Metric ton       0.00                    800.00                               2329.00


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 breeder stock produced                         20-Nov-2015             31-Dec-2019                          31-Dec-2019
 with the Project support -
 Maize - Benin


 Foundation seeds and          Metric ton       0.00                    140.00                               180.00
 breeder stock produced
 with the Project support -                     20-Nov-2015             31-Dec-2019                          31-Dec-2019
 Maize - Togo


 Foundation seeds and          Metric ton       0.00                    100.00                               103.00
 breeder stock produced
 with the Project support -                     18-Nov-2016             31-Dec-2019                          31-Dec-2019
 Maize - Guinea

Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                Unit of Measure Baseline                  Original Target
                                                                                          Target             Completion

Foundation seeds and           Metric ton       0.00                    8500.00                              30953.00
breeder stock produced with
the Project support - Rice                      20-Nov-2015             31-Dec-2019                          31-Dec-2019

 Foundation seeds and          Metric ton       0.00                    300.00                               612.00
 breeder stock produced
 with the Project support -                     20-Nov-2015             31-Dec-2019                          31-Dec-2019
 Rice - Benin




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 Foundation seeds and          Metric ton       0.00                    500.00        22480.00
 breeder stock produced
 with the Project support -                     20-Nov-2015             31-Dec-2019   31-Dec-2019
 Rice - Guinea


 Foundation seeds and          Metric ton       0.00                    250.00        1015.00
 breeder stock produced
 with the Project support -                     20-Nov-2015             30-Dec-2016   31-Dec-2016
 Rice -Liberia


 Foundation seeds and          Metric ton       0.00                    100.00        93.00
 breeder stock produced
 with the Project support -                     20-Nov-2015             30-Dec-2016   31-Dec-2016
 Rice -Sierra-Leone


 Foundation seeds and          Metric ton       0.00                    350.00        6600.00
 breeder stock produced
 with the Project support -                     20-Nov-2015             30-Dec-2016   31-Dec-2016
 Rice - Cote d'Ivoire (Japan
 PHRD TF)


 Foundation seeds and          Metric ton       0.00                    60.00         83.00
 breeder stock produced
 with the Project support -                     20-Nov-2015             31-Dec-2019   31-Dec-2019
 Rice -Togo

Comments (achievements against targets):



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                                                                                          Formally Revised   Actual Achieved at
Indicator Name                   Unit of Measure Baseline               Original Target
                                                                                          Target             Completion

Publications released in a       Number          0.00                   133.00                               125.00
regional / national journals /
magazines                                        24-Mar-2011            31-Dec-2019                          31-Dec-2019

 Publications - Benin            Number          0.00                   50.00                                39.00

                                                 24-Mar-2011            31-Dec-2019                          31-Dec-2019


 Publications - Gambia           Number          0.00                   2.00                                 5.00

                                                 24-Mar-2011            31-Dec-2016                          31-Dec-2016


 Publications - Liberia          Number          0.00                   2.00                                 0.00

                                                 24-Mar-2011            31-Dec-2016                          31-Dec-2016


 Publications - Niger            Number          0.00                   25.00                                26.00

                                                 24-Mar-2011            31-Dec-2019                          31-Dec-2019


 Publications - Sierra Leone     Number          0.00                   5.00                                 11.00

                                                 24-Mar-2011            31-Dec-2016                          31-Dec-2016


 Publications - Togo             Number          0.00                   30.00                                35.00


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                                                  24-Mar-2011           31-Dec-2019                          31-Dec-2019


 Publications - Guinea            Number          0.00                  15.00                                8.00

                                                  24-Mar-2011           31-Dec-2019                          31-Dec-2019

Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                    Unit of Measure Baseline              Original Target
                                                                                          Target             Completion

Nutritive sensitive (fortified)   Number          0.00                  32.00                                35.00
technologies adopted by
processors                                        18-Nov-2016           31-Dec-2019                          31-Dec-2019

 Nutritive sensitive              Number          0.00                  10.00                                10.00
 (fortified) technologies
 adopted by processors -                          18-Nov-2016           31-Dec-2019                          31-Dec-2019
 Benin


 Nutritive sensitive              Number          0.00                  8.00                                 6.00
 (fortified) technologies
 adopted by processors -                          18-Nov-2016           31-Dec-2019                          31-Dec-2019
 Togo


 Nutritive sensitive              Number          0.00                  8.00                                 12.00
 (fortified) technologies
 adopted by processors -                          18-Nov-2016           31-Dec-2019                          31-Dec-2019


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 Niger


 Nutritive sensitive           Number           0.00                    6.00                                 7.00
 (fortified) technologies
 adopted by processors ) -                      18-Nov-2016             31-Dec-2019                          31-Dec-2019
 Guinea

Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                Unit of Measure Baseline                  Original Target
                                                                                          Target             Completion

Investments proposals          Number           0.00                    38.00                                705.00
prepared and presented to
private investors                               18-Nov-2016             31-Dec-2019                          31-Dec-2019

 Investments proposals         Number           0.00                    10.00                                0.00
 prepared and presented to
 private investors - Benin                      18-Nov-2016             31-Dec-2019                          31-Dec-2019


 Investments proposals         Number           0.00                    10.00                                75.00
 prepared and presented to
 private investors - Guinea                     18-Nov-2016             31-Dec-2019                          31-Dec-2019


 Investments proposals         Number           618.00                  10.00                                618.00
 prepared and presented to
 private investors - Niger                      17-Jul-2019             31-Dec-2019                          31-Dec-2019



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 Investments proposals           Number          0.00                   8.00                                 12.00
 prepared and presented to
 private investors - Togo                        18-Nov-2016            31-Dec-2019                          31-Dec-2019

Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                   Unit of Measure Baseline               Original Target
                                                                                          Target             Completion

Beneficiaries in jobs created    Number          2465.00                18000.00                             13672.00
as result of project
interventions (full-time all                     18-Nov-2016            31-Dec-2019                          31-Dec-2019
year, full-time in season)

 Beneficiaries in jobs created   Number          1000.00                3000.00                              3010.00
 as result of project
 interventions (full-time all                    18-Nov-2016            31-Dec-2019                          31-Dec-2019
 year, full-time in season) -
 Togo


 Beneficiaries in jobs created   Number          1265.00                5000.00                              1655.00
 as result of project
 interventions (full-time all                    18-Nov-2016            31-Dec-2019                          31-Dec-2019
 year, full-time in season) -
 Niger


 Beneficiaries in jobs created   Number          200.00                 5000.00                              5610.00



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  as result of project                            18-Nov-2016             31-Dec-2019                                      31-Dec-2019
  interventions (full-time all
  year, full-time in season) -
  Guinea


  Beneficiaries in jobs created   Number          0.00                    5000.00                                          3397.00
  as result of project
  interventions (full-time all                    18-Nov-2016             31-Dec-2019                                      31-Dec-2019
  year, full-time in season) -
  Benin

 Comments (achievements against targets):



 Component: Project Coordination Management Monitoring and Evaluation
                                                                                                  Formally Revised        Actual Achieved at
 Indicator Name                   Unit of Measure Baseline               Original Target
                                                                                                  Target                  Completion

 Procurement and FM               Yes/No          N                      Y                                                Y
 activities are executed in
 conformity with the timing of                    24-Mar-2011            31-Dec-2019                                      31-Dec-2019
 the procurement plan, the
 implementation manual, IDA
 procedures


 Comments (achievements against targets):
While the procurement manual and IDA procedures were followed, there were some delays in the implementation of the procurement plans in some
countries beneficiaries of the additional financing (Benin, Togo and Niger).



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                                                                                          Formally Revised   Actual Achieved at
Indicator Name                  Unit of Measure Baseline                Original Target
                                                                                          Target             Completion

Project reports are presented   Yes/No          N                       Y                                    Y
within 45 days of the end of
the relevant period                             24-Mar-2011             31-Dec-2019                          31-Dec-2019


Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                  Unit of Measure Baseline                Original Target
                                                                                          Target             Completion

A harmonized M & E system       Yes/No          N                       Y                                    Y
is established and
operational                                     24-Mar-2011             31-Dec-2019                          31-Dec-2019


Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                  Unit of Measure Baseline                Original Target
                                                                                          Target             Completion

Sub-project granted with        Yes/No          N                       Y                                    Y
environmental management
plan that have been                             24-Mar-2011             31-Dec-2019                          31-Dec-2019



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implemented effectively

 Benin                         Yes/No           N                       Y             Y

                                                24-Mar-2011             31-Dec-2019   31-Dec-2019


 Gambia                        Yes/No           N                       Y             Y

                                                24-Mar-2011             31-Dec-2016   31-Dec-2016


 Liberia                       Yes/No           N                       Y             Y

                                                24-Mar-2011             31-Dec-2016   31-Dec-2016


 Niger                         Yes/No           N                       Y             Y

                                                24-Mar-2011             31-Dec-2019   31-Dec-2019


 Sierra Leone                  Yes/No           N                       Y             Y

                                                24-Mar-2011             31-Dec-2016   31-Dec-2016


 Togo                          Yes/No           N                       Y             Y

                                                24-Mar-2011             31-Dec-2019   31-Dec-2019

Comments (achievements against targets):




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                                                                                         Formally Revised   Actual Achieved at
Indicator Name                Unit of Measure Baseline                 Original Target
                                                                                         Target             Completion

Disbursement rate of funds    Number           0.00                    100.00                               97.00
(PHRD/IDA)
                                               18-Nov-2016             31-Dec-2019                          04-May-2020

 Disbursement rate of funds   Number           0.00                    100.00                               100.00
 (PHRD/IDA) - Liberia
                                               18-Nov-2016             30-Dec-2016                          31-Dec-2016


 Disbursement rate of funds   Number           0.00                    100.00                               100.00
 (PHRD/IDA) - Guinea
                                               18-Nov-2016             31-Dec-2019                          04-May-2020


 Disbursement rate of funds   Number           0.00                    100.00                               94.00
 (PHRD/IDA) - Benin
                                               18-Nov-2016             31-Dec-2019                          04-May-2020


 Disbursement rate of funds   Number           0.00                    100.00                               100.00
 (PHRD/IDA) - Gambia
                                               18-Nov-2016             30-Dec-2016                          31-Dec-2016


 Disbursement rate of funds   Number           0.00                    100.00                               97.00
 (PHRD/IDA) - Cote d'Ivoire
                                               18-Nov-2016             30-Dec-2016                          31-Dec-2016


 Disbursement rate of funds   Number           0.00                    100.00                               99.68



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 (PHRD/IDA) - Togo                              18-Nov-2016             31-Dec-2019                          04-May-2020


 Disbursement rate of funds     Number          0.00                    100.00                               100.00
 (PHRD/IDA) - Sierra-Leone
                                                18-Nov-2016             30-Dec-2016                          31-Dec-2016


 Disbursement rate of funds     Number          0.00                    100.00                               94.00
 (PHRD/IDA) - Niger
                                                24-Mar-2011             31-Dec-2019                          04-May-2020

Comments (achievements against targets):



                                                                                          Formally Revised   Actual Achieved at
Indicator Name                  Unit of Measure Baseline                Original Target
                                                                                          Target             Completion

Citizen Engagement -            Number          9.00                    33.00                                36.00
Supervision missions by Civil
Society                                         18-Nov-2016             31-Dec-2019                          31-Dec-2019

 Citizen Engagement -           Number          0.00                    6.00                                 6.00
 Supervision missions by
 Civil Society - Togo                           18-Nov-2016             31-Dec-2019                          31-Dec-2019


 Citizen Engagement -           Number          0.00                    6.00                                 9.00
 Supervision missions by
 Civil Society - Niger                          18-Nov-2016             31-Dec-2019                          31-Dec-2019




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 Citizen Engagement -          Number           0.00                    6.00          5.00
 Supervision missions by
 Civil Society - Guinea                         18-Nov-2016             31-Dec-2019   31-Dec-2019


 Citizen Engagement -          Number           9.00                    15.00         16.00
 Supervision missions by
 Civil Society - Benin                          18-Nov-2016             31-Dec-2019   31-Dec-2019

Comments (achievements against targets):




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B. KEY OUTPUTS BY COMPONENT


      Outcome 1: Conditions for Sub-Regional Cooperation in the Generation, Dissemination, and Adoption of Agricultural Technologies Created
                                   1.   Adoption and implementation of regional regulations on inputs.
                                   2.   Regional strategy on communication and knowledge management developed and implemented.
      Outcome Indicators
                                   3.   Publication of regional catalogues.
                                   4.   Regional strategy on nutrition-sensitive agriculture.
                                   1. National regulations on genetic materials, fertilizer, and pesticides aligned with regional (ECOWAS)
                                      regulations and adopted.
                                   2. Regulations for fertilizer at ECOWAS level developed and adopted.
      Intermediate Results
                                   3. A system for data collection, analysis, and reporting on agricultural technologies, research skills, and
      Indicators
                                      agricultural productivity established at national and regional levels (CORAF/WECARD).
                                   4. National/regional action plan on gender, communication, and climate change developed.
                                   5. Hits for the national/regional web-based information system of agricultural technologies and research skills.
                                   1. 239 varieties of which 150 from WAAPP-1C published in ECOWAS-UEMOA-CILSS Regional Species and Plant
                                      Varieties Catalog and the Quarantine Pests List, to facilitate the development of an executive regulation for
                                      seed import/export.
                                   2. All data gathered, including lists of researchers and institutions, technologies generated, and training
                                      modules, were registered in the Market for Agricultural Innovations and Technologies (MITA) digital
      Key Outputs by Component
                                      platform set up by CORAF.
      (linked to the achievement
                                   3. Except for Liberia, all participating countries and CORAF set up frequently visited web-based information
      of Objective/Outcome 1)
                                      systems. The sites received more than 12.4 million hits—0.4 million for country websites and 12 million for
                                      CORAF websites—versus a target of 550,000.
                                   4. 26 actions plan on communication, gender, climate change, and nutrition were developed and implemented,
                                      compared to 24 planned. In addition to CORAF regional actions plans, all countries made at least 3 actions
                                      plans as expected, except for Liberia, which could not complete the climate change plan.




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  Outcome 2 National Centers of Specialization (NCoS) and Research System Strengthened

  Outcome Indicators           Research system generating technologies to increase agricultural productivity.

                               1. Qualifying criteria for the NCoS to become RCoE met.
                               2. Technologies generated/adapted by NCoS and demonstrated by the project in the project area (for NCoS
                                  countries).
                               3. Technologies generated outside the country and tested by a non-NCoS country (for non-NCoS countries).
  Intermediate Results         4. Technologies generated/adopted by NCoS and demonstrated in at least three ECOWAS countries outside the
  Indicators                      country of origin (for non-NCoS countries).
                               5. Training provided to clients (including scientists, extension, agri-dealers, farmers, community members,
                                  etc.).
                               6. Scientific exchange visits organized.
                               7. Scholarships provided (disaggregated by MSc and PhD).
                               1. 70 percent of the criteria met for NCoS Livestock in Niger and Maize in Benin to upgrade to RCoS.
                               2. 53 technologies generated/adapted by NCoS countries (Benin, Niger, and Sierra Leone) against a target of 41
                                  (129%).
                               3. 48 technologies tested in non-NCoS countries (Côte d’Ivoire, Guinea, Liberia, The Gambia, and Togo),
                                  compared to a target of 45 technologies (112%). At country level, only Liberia did not reach the target (2
                                  against 6).
                               4. 28 technologies tested outside of country of origin against a target of 29. At the country level, while Benin,
  Key Outputs by Component
                                  Niger, and Sierra Leone met their targets, Guinea did not (with 5 technologies tested outside, against a
  (linked to the achievement
                                  target of 10).
  of Objective/Outcome 2)
                               5. 199,716 man-days of training against a target of 124,960 (160%). Except for Benin, which very close to
                                  achieving the target (92%), all of the other countries exceeded their targets by a wide margin.
                               6. 126 scientific exchange visits organized as planned at the regional level, although Benin, Togo, and Guinea
                                  were slightly below the target with achievement rates of 96 percent, 90 percent, and 84 percent,
                                  respectively.
                               7. 478 beneficiaries of the scholarship program, of which 351 MSc and 127 PhD (compared to the target of 449
                                  beneficiaries, of which 333 MSc and 114 PhD).




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  Outcome 3: Demand-driven Technology Generation, Dissemination and Adoption Supported

                               National and Regional Competitive Agricultural Research Grant Schemes (CARGS) established.
  Outcome Indicators
                               Technologies generated, disseminated, and adopted.
                               1.   National demand-driven research proposals projects financed by the national CARGS.
                               2.   Multi-country research proposals financed by the regional CARGS maintained by CORAF/WECARD.
                               3.   Technologies generated under the CARGS and demonstrated by the project in the project areas.
  Intermediate Results
                               4.   Nutrition sensitive (fortified) technologies adopted by processors.
  Indicators
                               5.   Demonstration plots established.
                               6.   Genetic material (foundation seed and breeder stock) produced with project support.
                               7.   Publications released in regional/national magazines.
                               1. 134 national research proposals executed under national CARGS, compared to a target of 150.
                               2. 13 regional research proposal funded by CORAF under the regional CARGS, compared to an initial objective of
                                  15.
                               3. 165 technologies generated under national and regional CARGS subprojects were demonstrated across the
                                  region, compared to a target of 128.
                               4. 35 nutrition-sensitive or fortified technologies adopted by processors versus 32 planned.
                               5. 7,298 demonstration plots established by the public and private extension services intervening in the project,
  Key Outputs by Component        compared to an end-target of 4,870.
  (linked to the achievement   6. 34,447 mt of certified, foundation, and breeder seed produced with project support:
  of Objective/Outcome 2)
                                         Crop            Revised target    Achieved at completion
                                         Rice (mt)           8,568                30,953
                                         Maize (mt)          1,040                 2,611
                                         Cowpea (mt)         1,200                   883
                                         Straw (unit)       20,000                24,000

                               7. 125 publications released in regional/national magazines, compared to 133 planned.




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                       ANNEX 2. BANK LENDING AND IMPLEMENTATION SUPPORT/SUPERVISION



 A. TASK TEAM MEMBERS

Name                                                      Role
Preparation
Supervision/ICR
Aifa Fatimata Ndoye Niane, Erick Herman Abiassi, Amadou   Task Team Leader(s)
Ba
Mathias Gogohounga, Sylvain Auguste Rambeloson,           Procurement Specialist(s)
Kouami Hounsinou Messan
Josue Akre                                                Financial Management Specialist
Anita Bimunka Takura Tingbani                             Environmental Specialist
Salimata Bessin Dera                                      Team Member
Komana Rejoice Lubinda                                    Procurement Team
Allan Dunstant Odulami Cole                               Team Member
Abdoulaye Gadiere                                         Environmental Specialist
Zoe Quoi Diggs Duncan                                     Team Member
Adama Davida Taylor                                       Team Member
Mariama Altine Mahamane                                   Team Member
Winter M. Chinamale                                       Procurement Team
Kouassi Germain Zinsou                                    Team Member
Lemu Ella Makain                                          Team Member
Leissan Augustine Akpo                                    Team Member
Mariame Bamba                                             Team Member
Sylvie Munchep Ndze                                       Team Member
Kadir Osman Gyasi                                         Team Member
Nikolai Alexei Sviedrys Wittich                           Team Member
Yeyea Gloria Kehleay Nasser                               Team Member
Maurice Adoni                                             Procurement Team
Esinam Hlomador-Lawson                                    Team Member


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Hardwick Tchale                                           Team Member
Hadidia Diallo Djimba                                     Team Member
Abdoulaye Toure                                           Team Member
Bintou Sogodogo                                           Team Member
Lydia Sam                                                 Team Member
Amadou Alassane                                           Team Member
Volana Andriamasinoro                                     Team Member
Marie-Claudine Fundi                                      Team Member
Salimatou Drame-Bah                                       Team Member
Sossena Tassew                                            Team Member
Cheick Traore                                             Procurement Team
Anta Tall Diallo                                          Procurement Team
Rahmoune Essalhi                                          Procurement Team
Rose Abena Ampadu                                         Team Member
Cheikh A. T. Sagna                                        Social Specialist
Ibrah Rahamane Sanoussi                                   Procurement Team
Abimbola Adubi                                            Team Member
Yassin Saine Njie                                         Team Member
Boury Ndiaye                                              Team Member
Ndeye Magatte Fatim Seck                                  Procurement Team
Sylvie Charlotte Ida do Rego                              Team Member
Thierno Hamidou Diallo                                    Team Member
Kofi Nouve                                                Team Member




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B. STAFF TIME AND COST


                                                            Staff Time and Cost
Stage of Project Cycle
                             No. of staff weeks                      US$ (including travel and consultant costs)
Preparation
FY11                         54.677                                                                 364,452.83
FY14                         0                                                                            27.00

Total                        54.68                                                                  364,479.83
Supervision/ICR
FY11                         6.022                                                                   15,266.42
FY12                         80.087                                                                 398,699.47
FY13                         143.132                                                                618,068.42
FY14                         92.961                                                                 535,313.93
FY15                         95.588                                                                 619,300.82
FY16                         113.058                                                                998,915.51
FY17                         21.177                                                                 244,440.72
FY18                         42.527                                                                 225,166.56
FY19                         53.793                                                                 260,888.54
FY20                         50.638                                                                 204,086.98
Total                        698.98                                                               4,120,147.37




                                                                                                   Page 89 of 123
                         ANNEX 3. PROJECT COST BY COMPONENT




                              Amount at
Component                      Approval      Actual at Project Closing (US$M)   Percentage of Approval
                                (US$M)
Component 1                          9.26                               11.98                     129.37
Component 2                         38.40                               48.35                     125.91
Component 3                         50.33                               83.13                     165.17
Component 4                         15.00                               40.73                     271.53
Total Baseline Cost               113.01                             184.19*                      162.98
Physical Contingencies               1.31

Price Contingencies                  6.37

Total Project Cost                120.69                              184.64                      152.99
  *There is gap of US$ 0.45M compared to US$184.64 from the portal. It could be related to currency
  change (US$, Euro and SDR)




                                                                                          Page 90 of 123
                                        ANNEX 4. EFFICIENCY ANALYSIS

       A. Methodology of the Ex-post Economic and Financial Analysis

       1. Challenges. Conducting an economic analysis of agricultural R&E projects is a particular challenge.
          Investments in national institutional capacity (Component 1), research and research facilities
          (Component 2), and advisory services and seed systems (Component 3) are very much interrelated,
          and if they are successful, they lead to increases in farm productivity and revenues. The ex-ante EFA
          extrapolates those increases based on assumptions, and this ex-post EFA measures them based on
          M&E data. Although the costs of research (Component 2) and technology dissemination
          (Components 1 and 3) are easy to disaggregate, their benefits for farmers are much harder to
          separate, especially because the incremental benefits of research and advisory services are
          complementary. The joint research and advisory efforts should produce a continuum of technology
          generation and dissemination and eventually should induce increases in the productivity and
          competitiveness of agriculture. This analysis thus assumes that the two types of investment have a
          compounding effect on the productivity of commodities supported under WAAPP 1C and cannot be
          separated.
       2. Data collection. This ex-post EFA is based on the following sources of information: (i) Project
          Completion Reports provided by the national teams in Benin, Guinea, Liberia, Niger, Sierra Leone,
          The Gambia, and Togo, as well by the regional team at CORAF; (ii) information collected during visits
          to Benin, Guinea, Niger, and CORAF headquarters (Senegal) in February–March 2020; (iii) regional
          M&E data from WAAPP-1C, provided by CORAF; and (iv) other reports provided by CORAF, the
          national PCUs, and the World Bank. Impact studies were done at the end of first phase for Guinea,
          Liberia, Sierra Leone, and Togo, but they were not updated at the closing of the AF. For Liberia, Sierra
          Leone, and The Gambia, where WAAPP 1C has been closed since December 2016, only limited data
          were available to the ICR-EFA mission in February 2020. Benefits for those countries were calculated
          mainly based on information from the rice production areas directly supported by the project, as
          stated during the Abuja wrap-up meeting of November 2016.
       3. Project benefits. This ex-post EFA is based on an analysis of the incremental cash flows resulting from
          the costs/investments of the project and associated benefits at the level of the beneficiaries. The
          benefits considered are those generated by productive investments at the level of enterprises/farms
          with the adoption of technologies promoted through the project. The benefits of Component 3, which
          focused on the dissemination and adoption of technology, are objectively quantifiable; the key
          parameters are: (i) the number of farmers and processors adopting these technologies and (ii) the
          productivity increase (yield increase) they deliver. The benefits from Components 1, 2, and 4 are
          multiple and positive but cannot be quantified separately.
       4. The main non-quantifiable benefits are: (i) production and regular updating of the regional catalogue
          of 1,300 registered crop varieties, of which 116 were newly released by WAAPP 1C countries;
          (ii) revitalization of the MITA platform; (iii) promotion of cassava and sweet potato varieties with high
          levels of beta-carotene, and training in processing enriched food; (iv) development and
          operationalization of 133 IPs; (v) realization of 20 research studies supported through competitive
          grants (CARGS);9 and (vi) upgrading of two of the three WAAPP-1C NCoS to RCoS (the livestock NCoS
          in Niger and maize NCoS in Benin).
       5. Project costs. Project costs are defined as the costs related to implementing the four project
          components, including: (i) the original financing of US$92.8 million (IDA, PHRD); (ii) the second PHRD
          grant of US$18 million; (iii) the FPCR grant of US$5 million; and (iv) the AF of US$68 million. The
          investments under Components 1, 2, and 4 are assumed to be preconditions for the successful
          implementation of Component 3. Consequently, all costs related to Components 1, 2, 3, and 4 were
          taken into account in the ex-post EFA.
       6. Ex-ante EFA at appraisal. At appraisal for the original financing in 2011. In view of harmonizing
          methodologies between the different “series” of the first phase of the WAAPP, the ex-ante EFA for

9   Based on information from CORAF.



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         WAAPP-1C used the same framework and methodology as the EFA in the PAD of WAAPP-1B. The ex-
         ante EFA at appraisal assessed the economic and financial aspects of investments in Components 2
         (NCoS) and 3 (demand-driven technology generation and adoption). The ex-ante EFA estimated
         returns at the national and regional levels from improved efficiency in value chains supported by the
         project. Benefits were expected to be due to: (i) the generation, diffusion, and adoption of new or
         improved technologies; (ii) enhanced technology spillovers between ECOWAS countries arising from
         an integrated policy environment with regard to agricultural cooperation; and (iii) sound
         communication and dissemination approaches to enhance the project’s visibility, transparency, and
         effectiveness. The minimum annual growth rates and outreach required to break even (EIRR of 12%)
         were calculated. They were modest and attainable in each country, indicating that the project was
         economically desirable.
     7. At appraisal of the AF for Benin, Guinea, Niger, and Togo in 2017, the ex-ante EFA also estimated
        returns at the national and regional levels from improved efficiency in value chains supported by the
        project. As in the previous EFA, benefits were still expected to be due to: (i) the generation, diffusion,
        and adoption of new or improved technologies and (ii) enhanced technology spillovers between
        ECOWAS countries arising from an integrated policy environment with regard to agricultural
        cooperation. The economic analysis demonstrated that, from a socio-economic perspective, the
        program as a whole was viable, taking into account all quantitative and non-quantitative benefits in
        situations with and without the program. The ex-ante EIRR was estimated to be 29 percent.
     8. The ex-ante EFAs at appraisal included some productive investments—production of maize porridge
        (aklui), equipment to clean maize seed, production of cassava planting material, production of
        tomatoes and potatoes, land levelling rods, parboiled rice, and others—that did not receive
        significant support during implementation, which is a common occurrence with demand-driven
        projects in an environment of changing market prices, opportunities, and trade flows. For that reason,
        the ex-post EFA at implementation completion includes crops that were not included in the EFA at
        appraisal (cashew, sorghum, millet, and cowpeas).
     B. Achievement of PDO-level Indicators
     9. Figures A4.1a–e show the level of achievement of PDO indicators compared to targets for WAAPP-
        1C.
                    Figure A4.1a: Number of beneficiaries (target and achievement), WAAPP-1C

              4,500,000
                                                                                               3,975,113
              4,000,000
              3,500,000                                                                         3,550,000

              3,000,000
              2,500,000
              2,000,000
              1,500,000
              1,000,000
                500,000
                      0
                              2012   2013     2014       2015      2016       2017    2018      2019

                                                target          achievement

             Source: CORAF.


   Figure A4.1b: Number of technologies released (target        Figure A4.1c: Number of project beneficiaries using
                                                                   technologies from other countries (target and


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               and achievement), WAAPP-1C                                         achievement), WAAPP-1C

         100                                                           700,000
                                                                       600,000                                    600,000
          80                                                81         500,000                                    438,770
          60                                                60         400,000
                                                                       300,000
          40                                                           200,000
                                                                       100,000
          20
                                                                             0
           0


                                                                                       target      achievement
                       target          achievement
                                                                      Source: CORAF.
       Source: CORAF.
     Figure A4.1d: Number of producers/processors who              Figure A4.1e: Area under new technologies (target and
    adopted new technologies (target and achievement),                            achievement), WAAPP-1C
                       WAAPP-1C                                      5,000,000                                     4,699,416
        3,000,000                                                    4,500,000
                                                                     4,000,000
        2,500,000                                     2,408,524
                                                                     3,500,000
        2,000,000                                      2,210,000     3,000,000                                     2,688,000
                                                                     2,500,000
        1,500,000                                                    2,000,000
                                                                     1,500,000
        1,000,000
                                                                     1,000,000
          500,000                                                      500,000
                                                                             0
               0
                                                                                 2012 2013 2014 2015 2016 2017 2018 2019
                    2012 2013 2014 2015 2016 2017 2018 2019

                          target        achievement
                                                                                        target      achievement


       Source: CORAF.                                               Source: CORAF.


     C. Summary of the Financial Analysis
 Methodology
     10. The financial analysis assumes that financial or commercial sustainability is required for project
         investments to be sustainable. The core financial performance indicators are incremental yields,
         incremental gross revenues, the internal rate of return (IRR), the benefit/cost ratio (B/C ratio), and
         net present value (NPV).
     11. The financial analysis is based on a comparison of “with project” and “without project” scenarios,
         focusing on crop and livestock production and agroprocessing enterprises with quantifiable revenue
         and cost flows. Using data that were already available or were collected for this purpose, the analysis
         develops 14 models that are representative of crop and livestock production systems that are
         important in one or more of the participating countries: 8 crop models (rice, maize, cassava, cashews,
         pineapples, sorghum, millet, and cowpeas), 3 livestock models (camel milk and cow milk production
         and production of mono-sex tilapia fry), and 3 off-farm activities (kilichi processing, rice milling, and
         parboiled rice production). As most of these activities are relevant in more than one of the
         participating countries, a sample of 27 financial models was analyzed. The parameters of the ex-ante
         EFA (prices of outputs and inputs, yields, and so on) were updated based on information from project
         officials, implementing partners, and national statistics offices.




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 Summary of Financial Results
     12. Rice production, rice under SRI, and rice seed production. In WAAPP-1C countries, farmers received
         seed of improved rice varieties (NERICA L-19 and L-20; ROK 35, 36, and 37) to boost production and
         productivity. In addition, SRI was promoted and adopted by 50,000 farmers through the subproject
         “Improving and Scaling-Up the System of Rice Intensification (SRI) in West Africa (SRI-WAAPP),”
         implemented from January 2014 to December 2016 as part of WAAPP. As result of this intervention,
         rice yields increased by 50–250 percent, depending on the characteristics of the production system
         or the agroecology of the zone (lowland, upland, mangrove, or lowland irrigated).
     13. Maize and maize seed production. Maize production benefited from improved seed provided to
         farmers with WAAPP-1C support, which led to significant improvements in yield from approximately
         1.3 t/ha to 2.5 t/ha (an increase of 40–50%). The financial internal rate of return (FIRR) for improved
         maize production is 48.6 percent, with gross revenue of around US$198/ha. For certified maize seed
         production, the FIRR is 86 percent and the NPV varies from US$363/ha in Benin to US$998/ha in
         Guinea.
     14. Staple food crops such as millet, cassava, sorghum, and cowpeas benefited from the support
         provided by WAAPP-1C to increase the availability of improved seed and planting material. Adoption
         of these technologies increased yields by 25–35 percent and gross revenues by 15–83 percent.
     15. Cash crops. In Benin, WAAPP-1C supported the improvement of crop husbandry practices for cashew
         and pineapple production. Access to improved seedlings and the use of polyethylene film were
         promoted. Adoption of these technologies increased gross revenues by more than 600 percent for
         cashew and pineapple producers.
     16. Livestock-related activities. Livestock owners in Niger benefited from commercial promotion
         (attendance and organization of promotional fair), quality improvement (capacity building in hygiene,
         quality, and food safety), and productivity support (artificial insemination, processing and
         conservation equipment), especially for producing kilichi and camel and cow milk. This support
         enabled producers to obtain better prices and increase the volume of kilichi and milk sold within and
         outside Niger, with incremental gross revenues between 214 percent and 2,728 percent.
     17. Processing. In Guinea, WAAPP-1C support for equipment and capacity building allowed rice
         processors to supply milled rice to international organizations and local markets, which increased
         their gross revenue about 228 percent. In Togo, promotion of parboiled rice allowed women’s
         organizations to increase their gross revenues by 604 percent.
     18. Table A4.1 summarizes the results of the financial analysis. The discrepancies between the financial
         models for different countries to some extent reflect: (i) variation in the economic, social, and
         environmental context of each country during project implementation; (ii) the negative impacts of
         the Ebola crisis (May 2014–January 2016) in Guinea, Liberia, and Sierra Leone; and (iii) differences in
         institutional capacity between the post-conflict countries and other project countries.
                                   Table A4.1: Summary of the ex-post financial analysis, WAAPP-1C
        Financial model                                       Yield                        Gross revenue        Net present
                                                     (kg/ha or liters of milk)                (US$/ha)             value
                                             Without      With project Incremental   With project Incremental    (US$/ha)
                                             project
        Rice cultivation
        Certified rice seed, BN                2,500        5,500         120%          2,665        421%          7,671
        Certified rice seeds, GN               1,908        2,250          18%            592         21%            487
        Upland rice, GN                          920        1,880         104%            168        185%            377
        Lowland rice, GN                       1,345        2,100          56%            175         91%            326
        Mangrove rice, GN                      1,850        2,625          42%            326         44%            375
        Rice, TG                               1,345        2,100          56%          2,770         91%          2,743


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       Rice SRI, BN                           2,500         4,300    72%      1,018       135%        1,986
       Rice SRI, TG                           1,345         4,600   242%      1,115       668%        4,414
       Maize cultivation
       Certified maize seed, BN               1,300         1,885    45%       229         56%          363
       Certified maize seed, GN               2,254         2,550    13%       847         42%          998
       Maize, GN                              1,414         2,002    42%       112         43%          100
       Maize, BN                              1,300         1,600    23%       198         15%          101
       Maize, TG                              1,300         1,600    23%       198         15%          101
       Staple food crop cultivation
       Millet, NG                               385           539    40%       108         56%           70
       Sorghum, NG                              305           397    30%        39         46%           25
       Cassava, BN                          13,000         16,000    23%        28         83%           13
       Cowpea, NG                               450           563    25%       193         16%           35
       Certified sorghum seed, NG               305           397    30%       352         13%           94
       Certified cowpea seed, NG                450           563    25%       823         10%          125
       Cash crops
       Pineapples, BN                       45,000         70,000    56%     14,664       608%       18,444
       Cashews, BN                              400         1,200   200%        735      1325%        2,510
       Livestock production
       Cow milk, NG                           1,080         5,760    433%     4,948       472%       12,589
       Camel milk, NG                         6,300        33,600    433%    25,033       214%      235,159
       Kilichi, NG                            2,637        50,000   1796%   110,225      2728%      439,259
       Mono-sex tilapia fry, BN                 N/A           N/A     N/A     8,359        N/A       11,935
       Processing
       Parboiled rice, TG                       N/A          N/A      N/A     2,653       604%        9,037
       Parboiled rice, GN                       N/A          N/A      N/A       989       228%       14,675
       Note: BN: Benin; GN: Guinea; NG: Niger; TG: Togo.

     D. Economic Analysis
     Efficiency Analysis
     19. The efficiency analysis goes beyond the EFA to look at the allocation and use of project resources.
         Efficiency is a measure of how economically a project’s resources are converted into results and is
         therefore related directly to economic analysis. WAAPP-1C was considered to be an efficient
         investment operation, based on several criteria related to its implementation: (i) funds were fully
         disbursed by the time the project ended; (ii) the project was implemented without cost overruns or
         an extension of the closing date; (iii) WAAPP 1C achieved and exceeded a number of quantitative and
         qualitative targets in the results framework, as summarized in Figures A4.1a–e; and (iv) the actual
         costs of the project were not greatly different from costs estimated at appraisal. With the PDO
         achieved at a rate of about 120 percent and a disbursement rate of 97 percent as of May 30, 2020,
         WAAPP-1C attained an efficiency rate of 1.23.
     20. The objectives of the AF for WAAPP 1C were achieved. The purpose of the AF was to consolidate
         and strengthen the regional integration of the project and speed the adoption of improved T&I.
         WAAPP-1C ultimately achieved and exceeded the quantitative and qualitative targets in the results
         framework, except for one target related to regional technology transfer, and enabled two out of
         three WAAPP-1C NCoS to meet the criteria for becoming RCoS (at least 70% of achievement, owing
         to AF to improve their performance). Unlike the livestock NCoS in Niger and maize NCoS in Benin, the
         NCoS on mangrove rice in Sierra Leone did not progress to RCoS level because the project ended in
         2016 and did not benefit from any AF.
     21. Cost per beneficiary. The project directly benefited more than 4 million producers and processors,
         which translates into a project cost of US$45 per beneficiary. The number of beneficiaries included
         478 students who received support to obtain advanced degrees (127 PhD and 351 MSc degrees).

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         22. Altogether, the overall project efficiency is rated Substantial.
         Project Expenditures
         23. The data on project expenditures available to the ICR mission were insufficiently detailed to provide
             an in-depth analysis of project expenditures, particularly expenditures at the subcomponent level and
             expenditures related to cross-cutting activities. Even so, the expenditure data (presented in Table
             A4.2) provide some insights. Project targets for Components 1, 2, and 3 were achieved with an
             efficient use of the resources allocated. Component 3 represented the largest share (45%) of project
             costs. The project over-spent on Component 4 (182%). The overall disbursement rate was 97 percent.
         24. Based on its achievements, project expenditure is rated satisfactory.
                                     Table A4.2: Project expenditure by component (US$), WAAPP-1C
                    Components                                                          Allocation    Percent     Disbursement   Percent
                    Component 1: Enabling Conditions for Sub-                           14,291,129       8         11,982,623       7
                    Regional Cooperation
                    Component 2: Strengthening National Centers of                      57,978,300      30         48,354,975      26
                    Specialization (NCOS)/Strengthening of the
                    Research System
                    Component 3: Support to Demand-driven                               94,988,390      50         83,127,096      45
                    Technology Generation, Dissemination and
                    Adoption
                    Component 4: Project Coordination, Management                       22,742,181      12         40,732,566      22
                    and Monitoring and Evaluation
                                                                   TOTAL               190,000,000     100         184,197,260    100
                                                          Disbursement Rate                                     97%
                                          Source: Author calculation as of May 2020 from country and CORAF data.

              Economic Analysis
         25. Assumptions of the economic analysis. The financial models were the starting point for the economic
             analysis. For productive investments, economic or shadow prices of investments, labor, inputs, and
             outputs were used to calculate the economic incremental cash flow. The discount rate is 12 percent
             for the financial analysis and 6 percent for the economic analysis. Conversion factors are 0.88, and
             averages for the economic benefits and economic costs were computed via Costab. The costs of
             maintenance and replacement of equipment have been taken into account. The lifespan for
             infrastructure is typically 20 years, and for small equipment it is 4 years. Costs of labor for
             maintenance were included. Real ex-post disbursements were used for the project costs.
         26. Results of the economic analysis. The ex-post EIRR of WAAPP-1C is estimated at 22 percent, the NPV
             at US$431 million, and the B/C ratio at 2.8 over a 20-year period, with a social discount rate of 6
             percent against project expenditures of US$175.8 million.10 The results indicate that the project offers
             value for money and is cost efficient compared with the appraisal assessments, with an EIRR of 12
             percent for the original financing and 29 percent for the AF.
         27. Sensitivity analysis. The sensitivity analysis assesses the impact of the main risks on project results
             and the adverse situations that may arise in terms of benefits and costs. The analysis reveals that
             even in the most severe scenarios, in which costs increase by 50 percent or benefits decrease by 50
             percent,11 the EIRR remains positive (Table A4.3), above the 6 percent social cost of capital: For the
             50 percent cost overrun, the EIRR is 16 percent and the NPV is US$304 million; for the 50 percent
             decrease in benefits, the EIRR is 11 percent and the NPV is US$89 million. Even under a scenario in
             which benefits are delayed by two years owing to a crisis linked with conflict or disease, the EIRR
             remains positive at 16 percent, with an NPV of US$282 million.

 10   The EIRR is -14 % and NPV is -US$88 million over 8 years, just at the end of the project.
 11   This scenario reflected the extreme cases were prices or yields of the crops decrease by 50%.


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     28. The sensitivity analysis also tested for an increase in the social discount rate (SDR) to determine the
         break-even point of the project. The NPV remains positive until the SDR reaches 12 percent,
         suggesting robust results.
                                         Table A4.3: Sensitivity analysis, WAAPP-1C
           Scenario                          Economic internal rate of return         Net present value
                                                          (%)                           (US$ million)
           Base case                                       22                               431
           Cost overrun by 10%                             21                               405
           Cost overrun by 25%                             19                               367
           Cost overrun by 50%                             16                               304
           Benefits decrease by 10%                        21                               362
           Benefits decrease by 25%                        18                               260
           Benefits decrease by 50%                        11                                89
           Benefits delayed by 1 year                      19                               357
           Benefits delayed by 2 years                     17                               282




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             ANNEX 5. BORROWER, CO-FINANCIER AND OTHER PARTNER/STAKEHOLDER COMMENTS


     WAAPP-1C Implementation Completion and Results Report (ICR)–CORAF COMMENTS
     CORAF has reviewed the draft Implementation Completion Report (ICR) of WAAPP-1C and offers the
     following observations:
     General comments:
     The report provides a detailed account of the implementation of WAAPP1C approved in March 2011 and
     becoming effective in August 2011 with an expected completion date in December 2016 but final closure
     in December 2019. The project was implemented in the following West African countries Benin, The
     Gambia, Guinea, Liberia, Niger, Sierra Leone, Togo, and Côte d’Ivoire for PHRD grant to MRU countries.
     The objective was to generate and accelerate the adoption of improved technologies in the participating
     countries’ top agricultural commodity priority areas that are aligned with the sub-region’s top agricultural
     commodity priorities as outlined in the ECOWAP. The report gives an overview of the context and
     development objectives, presents the results achieved and associated outcomes, and deliberates on key
     factors that affected project implementation and outcome. The report further evaluates the Bank’s
     performance and then captures lessons learned and proffers recommendations.
     CORAF is pleased that the ICR is thorough, objective, and highly instructive, with many lessons pertaining
     to design and to implementation. CORAF is pleased that the program has delivered good outcomes,
     notably on gender and equity. The report is well structured, with a flowing and coherent narrative
     revealing the dynamic evolution of project implementation. It will serve as a reliable blueprint for
     agricultural transformation in Africa in general and the West African region.
     The report comprehensively captures the rationale of the project, including its contextual relevance to the
     aspirations of the individual countries and of the region under the auspices of ECOWAS, as well as the
     implementation process and the catalytical role of CORAF as a coordinating body.
     Specific comments:
     CORAF has made some suggested edits in track changes and provided a few comments for consideration
     in finalizing the ICR directly in the draft, and would like to highlight the following specific issues/outcomes
     as a result of coordinating the WAAPP-1C project:
    I.    Significant contribution to the delivery of CORAF results: The prescribed results and expected
          outcomes of the project are largely aligned with the CORAF results, namely: technology generation
          and dissemination; market and trade policies, capacity strengthening, and meeting the demand for
          agricultural knowledge from target clients. The project therefore contributed to CORAF meeting its
          objectives and supported its continued relevance in agricultural development in the region, thereby
          contributing to improved welfare and development objectives of participating countries.
   II.    Improved regional collaboration in technology generation and trade: The project significantly
          contributed to strengthening collaboration in the generation of demand driven technologies as well
          as their dissemination among the participating countries and beyond. The synergy in the identification
          of common research issues with regional implications against the background of diversity in the
          capacity of individual national research institutes provided the basis for effective collaboration in
          tackling common challenges in the agricultural sector. The focus on priority crops identified by
          ECOWAS in collaboration with member countries (including WAAPP-1C implementing countries)
          ensured that the project would focus on the strategic value chains that underpin a regional market
          orientation, thereby fostering economies of scale.
   III.   Strengthened research coordination and delivery: CORAF had initiated the process of strengthening
          constituent national agricultural research units through the identification of NCoS based on the
          priority crops identified by ECOWAS with a view to ensuring standards and efficiency in the delivery of

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          research results. The process was vigorously pursued under WAAPP-1C, through which INRAB (Institut
          National de Recherches Agricoles) of Benin and INRAN (Institut de Recherches Agronomiques) of Niger
          achieved the level of RCoS, with significant advancement towards the ultimate level of RCoE. The
          associated attributes of the various levels indicated an improvement in research coordination and
          delivery in the region, with particular reference to maize and livestock designated to INRAB and INRAN,
          respectively.
   IV.    Capacity strengthening to replace older generation: Associated with the above is the considerable
          strengthening of both physical and human resources of the national agricultural research institutes,
          including the NCoS as well as the RCoS. There was a significant boost in the laboratory capacity of the
          institutions involved in the project together with a large number of young scientists including women
          acquiring post-graduate degrees. Their exposure to facilities in leading universities in the region—for
          example, the University of Ghana; the University of Science and Technology and the University
          Agriculture in Abeokuta, Nigeria; and the University Abdou Moumouni of Niamey, Niger—in addition
          to associations with IITA and AfricaRice, ensured the acquisition of the academic disciplines required
          to meet the challenges of the region. This process also greatly helped in the replacement of ageing
          scientists who dominated institutions in the region.
    V.    Gender mainstreaming: The report clearly shows the significant improvement in gender
          mainstreaming in project implementation and development of technologies that have duly considered
          gender ramifications in our farming systems. CORAF’s inherent interest in strengthening the position
          of women in agricultural development and ensuring gender equity was largely manifested in the
          implementation of WAAPP-1C.
   VI.    Knowledge products and communication: CORAF is increasingly positioning itself as a strategic
          knowledge broker in the region, as projected in the 2018–27 Strategic Plan. WAAPP-1C provided an
          enabling environment for establishing linkages with the national agricultural research systems,
          strengthening their capacity, and building a framework for effective knowledge management with a
          comprehensive and adaptable communication system. Monitoring of project achievements was
          largely successful, and the exchange of information was largely supported. The CORAF communication
          network now boasts of numerous success stories in a variety of forms, including print, audio and video,
          shared across the region.
  VII.    Platform for linking with key stakeholders including policy makers and beneficiaries strengthened:
          The various national and regional project meetings provided a platform for interaction across the
          various categories of stakeholders, including producers, processors, retailers, researchers,
          development partners, and policy makers. This strengthened linkages not only for influencing policy
          but also for gathering essential feedback for demand-driven research and creating increased
          opportunities for business.
  VIII.   Enhanced collaboration between CORAF and the World Bank, supervision, and laying the foundation
          for enhanced collaboration with other donors: There was growing contact between CORAF staff and
          World Bank officials in the realm of project implementation and supervision. A transparent
          environment of mutual respect provided a context for effective engagement in successful project
          implementation.
   IX.    Strengthened safeguard practices: WAAPP-1C contributed greatly to CORAF’s efforts in safeguards as
          a key focus in ensuring sustainable management of the environment. CORAF benefited greatly from
          the World Bank’s holistic approach to safeguards, including both social and environmental dimensions.
          CORAF and its constituents benefitted a lot in mainstreaming safeguards into project implementation.
          The knowledge gained by all stakeholders and the tools developed and shared will continue to serve
          the region for many years to come.




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    Appreciation:
    CORAF would like to express its profound appreciation to the Management of the World Bank and
    ECOWAS for being accorded this opportunity to coordinate the WAAPP series, including WAAPP-1C.
    Special thanks and appreciation go to the TTLs and colleagues in Washington, DC and the West Africa
    region for their engaged partnership and supervision in the implementation of the program, ensuring a
    judicious blend of professional and cordial interactions with the CORAF team that in turn delivered the
    success of WAAPP-1C.
    Special acknowledgment is made, with gratitude, of the leadership of ECOWAS and the support of the
    national governments of the implementing countries that made the WAAPP a success story: indeed, the
    centrality of the WAAPP as a model research-supported regional development initiative in agriculture has
    been firmly established and will remain one of the main legacies of the program.
    In concluding, CORAF would like to pay a vibrant tribute to the late Abdoulaye TOURE, who had made
    CORAF his other home. May his soul rest in peace!




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                                                   ANNEX 6. SUPPORTING DOCUMENTS

         Annex 6.1: Key achievements of regional subprojects funded by WAAPP-1C

N          Subproject                 Objectives            Total       Period     Disbursement rate    Status                             Key results
                                                           amount     start/end
                                                            (US$
                                                           Million)
                                                                                                                   • SRI project has reached 47,282 total direct beneficiaries
                                                                                                                     of which 38.5% women. The total area under SRI in all
                                                                                                                     project countries was 7,918 ha at the end of 2016.
                                                                                                                   • The project allowed the emergence of at least 2 SRI
                                                                                                                     champions well recognized in each of the 13 countries
    Improvement and              To improve the                                                                      covered.
                                                                                                       Closed in
    dissemination of SRI in      productivity and                     July 2013–                                   • The technical performance of SRI recorded during the
                                                             1.5                         107%          December
1   West Africa implemented      competitiveness of                    Dec.2016                                      reporting period indicated an average yield of 6.81 t/ha
                                                                                                         2016
    in 13 WAAPP countries        rice across the region.                                                             against 3.37 t/ha for conventional practice, showing an
                                                                                                                     increase of 102% for the irrigated system and 97% for
                                                                                                                     the rainfed lowland system, with 5.19 t/ha against 2.63
                                                                                                                     t/ha for conventional practice.
                                                                                                                   • Two documentary films on the project's achievements
                                                                                                                     produced.
                                                                                                                    • This seed project has set up 5 national networks of
                                 Sustainable increase                                                                 farmer organizations specialized in the production of
                                 of the production of                                                                 certified seed, which are functional in Benin, Burkina,
                                 certified seed in                                                                    Mali, Niger, and Senegal.
    Development of a Seed
                                 Benin, Liberia, Niger                                                              • 10% increase in seed production of producer
    Program (PAProSEM-
                                 and The Gambia (to                                                                   organizations in Benin (soybeans), Senegal (groundnuts
    ROPPA) implemented in:                                            Mar. 2014–                       Closed in
2                                replicate the success       1.5                          61                          and maize), and Burkina Faso (maize).
    Benin, Burkina, Liberia,                                          Dec. 2016                        Dec 2016
                                 of the ROPPA project                                                               • 1,943 farmers and 14 trainers trained in BPA and seed
    Mali, Niger, Senegal, and
                                 implemented in                                                                       legislation, respectively.
    The Gambia
                                 Burkina, Mali, and                                                                 • 44,308 tons of certified seed sold (groundnut, millet,
                                 Senegal to the                                                                       maize, sorghum, rice, soybeans, onions, sesame).
                                 targeted countries).                                                              • 25 sales contracts with countries (Burkina Faso, Gambia,
                                                                                                                     Niger, Senegal).
    Fruit fly control            To promote the                                                                    • 2,005 fruit growers (11% women) have been trained in
    technologies disseminated    mango value chain by                                                                the dissemination of fruit fly control technologies.
    and related capacity         increasing                           Mar. 2014–                       Closed in   • 8,376 fruit growers (4% women) were using fruit fly
3                                                            1.6                         101
    building implemented for     productivity and                     Dec. 2016                        Dec 2016      control methods.
    stakeholders of West         improving quality and                                                             • 3,050 fruit growers (24% women) adopted fruit fly
    African fruit value chains   trade through                                                                       technologies.


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N          Subproject                  Objectives         Total       Period    Disbursement rate     Status                            Key results
                                                         amount     start/end
                                                          (US$
                                                         Million)
    in Benin, Burkina Faso,       effective fruit fly                                                            • 15,000 stakeholders (4% women) have been sensitized
    Côte d’Ivoire, Ghana,         management in West                                                               on fruit fly control methods.
    Guinea, Mali, Niger,          Africa.                                                                        • 5 IPs created and functional.
    Nigeria, Senegal, The                                                                                        • Laboratory space for mass production of parasitoids at
    Gambia, Togo                                                                                                   Calavy University-Benin equipped with shelves in large
                                                                                                                   numbers.
                                                                                                                 • 6 training videos on fruit fly management developed
                                                                                                                   and disseminated in French and English.
                                                                                                                 • Fruit fly control methods used on 42,240 ha.
                                                                                                                 • Capacity of 162 technicians, including researchers,
    Training for stakeholders     To improve the                                                                   meteorology specialists, extension agents, etc.,
    in using Climate              resilience of the                                                                strengthened in the concept of climate-smart
    Information for Enhanced      agriculture (crop,                                                               agriculture, the use of the Participatory Integrated
                                                                     October
    Resilience in the             livestock and tree),                                              Closed on      Climate Services for Agriculture, and the AGRHYMET
                                                                      2017–
4   Agricultural Sector in West   food security, and       3.2                        100           December       regional agro-climatic risks analysis system (SARRA)
                                                                    December
    Africa (CaSCIERA-WA)          nutrition system to                                               15th, 2019     approaches.
                                                                       2019
    implemented in Benin,         seasonal climate                                                               • Over 568 agro-meteorological newsletters produced
    Guinea, Mali, Niger, and      shocks from farm to                                                              and disseminated.
    Togo                          country scales.                                                                • 9,231 producers (of whom 4,303 women) trained in the
                                                                                                                   use of agro-meteorological information.




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 Annex 6.2: Varieties released and registered in the regional catalogue under WAAPP
      WAAPP series                   Country                                 Number of varieties                  Number of varieties
                                                                          released during 2016–18                    registered

      WAAPP-1C                       Benin                                             20                                20
                                     Togo                                              05                                05
                                     Côte d’Ivoire                                     15                                13
                                     Gambia                                            64                                64
                                     Niger                                             13                                09
                                     Guinea                                            09                                09
                                     Liberia                                           09                                09
                                     Total                                            135                               129
      WAAPP-1B                       Burkina Faso                                      08                                08
                                     Nigeria                                           37                                37
      WAAPP-2A                       Ghana                                             11                                11
                                     Senegal                                           25                                25
                                     Mali                                              29                                29
      All WAAPP series               Total                                            245                               239



 Annex 6.3: Technologies generated and released by priority commodity, WAAPP

         Countries with National Center of Specialization              Benin           Niger            Sierra Leone
         (NCoS)

  N°     Technology                                                    Maize        Livestock         Rice        Cassava

  1      Ablo mixer-fermenter                                             X
  2      Ablo steam cooker                                                X
  3      AZIZA maize grinding machine                                     X
  4      Bovine artificial insemination12                                                X
  5      Breeding of Maradi Red goats                                                    X
  6      Calibrating cleaner                                              X
  7      Densified multi-nutritional blocks                                              X
  8      Development of improved breeding pigs                                           X
  9      Gambali lifin flour                                              X
  10     Hybrid dryer for flour                                           X
  11     Ikenné variety                                                   X
  12     Improved bovine breed                                                           X
  13     Multi-system coarse fodder crusher                                              X
  14     Portable maize sheller                                           X
  15     Portable grinding machine "Zékédé 2"                             X

 12Regarding artificial insemination, the innovation reported is the ability to harvest and package semen of local breeds (Azawak) for
 insemination. Before WAAPP support, semen was imported from European breeds by all countries of the region.


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  16      Poultry breeding cage MakeConnexion model           X
  17      Poultry feed production unit                        X
  18      Poultry plucking machine                            X
  19      Red Maradi goat breed                               X
  20      Roller-calibrator                           X
  21      Simple calibrator/sizer                     X
  22      Solar center for milk processing                    X
  23      Solar dryer                                         X
  24      Thermostable vaccines                               X
  25      CK 26 rainfed rice variety                                     X
  26      CK21 rainfed rice variety                                      X
  27      CQ15 rainfed rice variety                                      X
  28      Massaraka rainfed rice variety                                 X
  29      RD15 rainfed rice variety                                      X
  30      SAMMAZ 11 maize variety                     X
  31      SAMMAZ 14 maize variety                     X
  32      SAMMAZ 15 maize variety                     X
  33      SAMMAZ 16 maize variety                     X
  34      BAG 97 TZE Composite 3 X 4 maize variety    X
  35      NERICA 15 rice variety                                         X
  36      NERICA 16 rice variety                                         X
  37      NERICA 18 rice variety                                         X
  38      NERICA 3 rice variety                                          X
  39      NERICA 4 rice variety                                          X
  40      NERICA 6 rice variety                                          X
  41      ROK 34 rice variety                                            X
  42      SLICASS 10 cassava variety                                          X
  43      SLICASS 11 cassava variety                                          X
  44      SLICASS 12 cassava variety                                          X
  45      SLICASS 13 cassava variety                                          X
  46      SLICASS 14 cassava variety                                          X
  47      SLICASS 7 cassava variety                                           X
  48      SLICASS 8 cassava variety                                           X
  49      SLICASS 9 cassava variety                                           X
  50      TZE Composite 3 DT maize variety            X
  51      TZE W Pop DT STR maize variety              X
  52      Wheeler-calibrator                          X
  53      Winnowing machine                           X
  Total                                               20      13         12   8




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 Annex 6.4: Technologies generated and released by research theme, WAAPP
  N°   Technology                              Productivity   Climate change   Gender-sensitive Nutrition-sensitive
  1    Ablo mixer-fermenter                                                           X
  2    Ablo steam cooker                                                              X
  3    AZIZA maize grinding machine                                                   X
  4    Bovine artificial insemination               X
  5    Branding of Maradi Red goats                                                   X
  6    Calibrating cleaner                                                            X
  7    SLICASS 10 cassava variety                   X               X
  8    SLICASS 11 cassava variety                   X               X
  9    SLICASS 12 cassava variety                   X               X
  10   SLICASS 14 cassava variety                   X               X
  11   SLICASS 7 cassava variety                    X               X
  12   SLICASS 8 cassava variety                    X               X
  13   SLICASS 9 cassava variety                    X               X
  14   Densified multi-nutritional blocks                                                                X
  15   Development of improved breeding pigs        X
  16   Gambali lifin flour                                                                               X
  17   Hybrid dryer for flour                                                         X
  18   Ikenné variety                               X               X
  19   Improved bovine breed                        X
  20   Multi-system coarse fodder crusher           X
  21   Portable corn-sheller                        X
  22   Portable grinding machine "Zékédé 2"                                           X
  23   Poultry breeding cage MakeConnexion          X
       model
  24   Poultry feed production unit                 X
  25   Poultry plucking machine                                                       X
  26   Red Maradi goats                                                               X
  27   NERICA 15 rice variety                       X               X
  28   NERICA 16 rice variety                       X               X
  29   NERICA 18 rice variety                       X               X
  30   NERICA 3 rice variety                        X               X
  31   NERICA 4 rice variety                        X               X
  32   NERICA 6 rice variety                        X               X
  33   ROK 34 rice variety                          X               X
  34   Roller-calibrator                            X
  35   Simple calibrator/sizer                      X
  36   Solar milk processing center                                                   X
  37   Solar dryer                                                                    X
  38   Thermostable vaccines                        X               X
  39   CK 26 rainfed rice variety                   X               X
  40   CK21 rainfed rice variety                    X               X
  41   CQ15 rainfed rice variety                    X               X
  42   Massaraka rainfed rice variety               X               X
  43   RD15 rainfed rice variety                    X               X
  44   SAMMAZ 11 maize variety                      X               X


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  45      SAMMAZ 14 maize variety                     X              X
  46      SAMMAZ 15 maize variety                     X              X
  47      SAMMAZ 16 maize variety                     X              X
  48      BAG 97 TZE Composite 3 X 4 maize variety    X              X                              X
  49      TZE Composite 3 DT maize variety            X              X                              X
  50      TZE W Pop DT STR maize variety              X              X                              X
  51      SLICASS 13 cassava variety                  X
  52      Wheeler-calibrator                                                          X
  53      Winnowing machine                                                           X
  Total                                               38             28               13            5


 Annex 6.5: Technologies generated and released by domain of use, WAAPP
   N°     Technology                                       On-farm        Post-harvest/processing
   1      Ablo mixer-fermenter                                                      X
   2      Ablo steam cooker                                                         X
   3      AZIZA maize grinding machine                                              X
   4      Bovine artificial insemination                     X
   5      Branding of Maradi Red goats                       X
   6      Calibrating cleaner                                                       X
   7      SLICASS 10 cassava variety                         X
   8      SLICASS 11 cassava variety                         X
   9      SLICASS 12 cassava variety                         X
   10     SLICASS 13 cassava variety                         X
   11     SLICASS 14 cassava variety                         X
   12     SLICASS 7 cassava variety                          X
   13     SLICASS 8 cassava variety                          X
   14     SLICASS 9 cassava variety                          X
   15     Densified multi-nutritional blocks                                        X
   16     Development of improved breeding pigs              X
   17     Gambali lifin flour                                                       X
   18     Hybrid dryer for flour                                                    X
   19     Ikenné variety                                     X
   20     Improved bovine breed                              X
   21     Multi-system coarse fodder crusher                                        X
   22     Portable maize sheller                                                    X
   23     Portable grinding machine "Zékédé 2"                                      X
   24     Poultry breeding cage MakeConnexion model          X
   25     Poultry feed production unit                       X
   26     Poultry plucking machine                                                  X
   27     Red Maradi goats                                   X
   28     NERICA 15 rice variety                             X
   29     NERICA 16 rice variety                             X
   30     NERICA 18 rice variety                             X


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   31      NERICA 3 rice variety                                   X
   32      NERICA 4 rice variety                                   X
   33      NERICA 6 rice variety                                   X
   34      ROK 34 rice variety                                     X
   35      Roller-calibrator                                                          X
   36      Simple calibrator/sizer                                                    X
   37      Solar milk processing center                                               X
   38      Solar dryer                                                                X
   39      Thermostable vaccines                                   X
   40      CK 26 rainfed rice variety                              X
   41      CK21 rainfed rice variety                               X
   42      CQ15 rainfed rice variety                               X
   43      Massaraka rainfed rice variety                          X
   44      RD15 rainfed rice variety                               X
   45      SAMMAZ 11 maize variety                                 X
   46      SAMMAZ 14 maize variety                                 X
   47      SAMMAZ 15 maize variety                                 X
   48      SAMMAZ 16 maize variety                                 X
   49      BAG 97 TZE Composite 3 X 4 maize variety                X
   50      TZE Composite 3 DT maize variety                        X
   51      TZE W Pop DT STR maize variety                          X
   52      Wheeler-calibrator                                                         X
   53      Winnowing machine                                                          X
   Total                                                           36                17


 Annex 6.6: Technologies transferred across countries through WAAPP
  Country          Technology                             In          From           Out          To
                                                      (Imported)   (Countries)    (Exported)   (Country)
  Benin            Seed of rice variety IR 841                                        X          Togo
                   Seed of groundnut variety TS 32-                                   X          Togo
                   1
                   Seed of soybean variety TGX                                        X          Togo
                   1830-20E
                   Rice processing technique              X              Mali
                   SRI                                    X              Mali
                   Prototype of solar fish smoking        X             Nigeria
                   kiln
                   Maradi Red goat breed                  X             Niger
  The Gambia       SRI                                    X              Mali
                   Newcastle disease vaccines             X             Ghana
                   Seed of improved rice varieties        X              Mali
                   Seed of early maturing millet          X            Senegal
                   variety
                   Seed of improved groundnut             X            Senegal



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                 varieties
  Guinea         Seed of rice varieties SWARNA 2      X         Mali
                 and MAYUN 1
                 Seed of rice variety WITTA9          X     Côte d’Ivoire
                 Seed of rice varieties NL19 and      X     Burkina Faso
                 NERICA 4
                 Seed of rice variety FKR19           X     Burkina Faso
                 Seed of maize varieties Wart,        X     Burkina Faso
                 Espoir, and Bondofa
                 Wassachiè poultry breed              X         Mali
                 Maradi red goat breed                X        Niger
                 Guinea fowl breed                    X         Mali
                 Prototype of solar incubator         X     Burkina Faso
                 Prototype of solar incubator         X        Niger
                 Prototype of fish smoking kiln       X       Nigeria
                 Prototype fruit dryer                X       Nigeria
                 Seed of rainfed rice varieties                              X    Côte d’Ivoire, Liberia,
                 CK21, CK73, CK90, CK801                                         Mali, Sierra Leone, and
                                                                                           Togo
                 Prototype of rice parboiler                                 x     Côte d’Ivoire, Mali,
                                                                                 Niger, and Sierra Leone
                 SRI                                  X         Mali
  Liberia        Seed of improved maize variety       X        Mali,
                 (Ebola support)                               Ghana
                 Seed of improved NERICA              X    Burkina Faso,
                 lowland rice varieties (Ebola            Guinea, and Togo
                 support)
                 Seed of improved cowpea              X        Niger
                 varieties (Ebola support)
                 SRI                                  X         Mali
                 Prototypes of Rice weeder            X         Mali
  Niger          Maradi Red goat breed                                       X          Guinea
                 Prototype of solar incubator                                X          Guinea
                 Prototype of fodder crusher                                 X    Burkina Faso, Ghana,
                 machine                                                           Senegal, and Togo
                 Prototype of rice parboiler                                 X          Guinea
                 Seed of Gambiaca rice variety        X         Mali
                 Wassachiè poultry breed              X         Mali
                 Planting cane                        X         Togo
                 Cuttings of 5 cassava varieties      X        Ghana
                 SRI                                  X         Mali
                 Production technique for                                    X    Benin, Burkina Faso,
                 densified multi-nutritional blocks                                      Ghana
                 Meat drying technique (kilichi)                             X    Ghana, Mali, Senegal
                 Bovine Azawak and Goudali                                   X       Burkina Faso
                 breeds
                 Balami sheep breed                                          X            Mali
  Sierra Leone   Seed of upland rice variety          X         Mali
                 NERICA 4 (Ebola support)



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              Seed of lowland rice varieties      X    Burkina Faso,
              NERICA L19, L20, ARICA (Ebola               Nigeria
              support)
              Seed of cowpea variety (Ebola       X       Niger
              support)
              Seed of improved maize              X    Burkina Faso,
              varieties (Ebola support)                   Nigeria
              SRI                                 X        Mali
              Seed of mangrove rice varieties                            X   Guinea
              ROK 22, ROK 14 & 24
  Togo        Seed of soybean variety TGX                                X   Guinea
              1910-14F
              Seed of rice variety IR 841         X       Benin
              Seed of maize variety TZPB          X       Benin
              Seed of soybean variety TGX         X       Benin
              1830-20E
              Cashew seed                         X       Ghana
              Shea tree seed                      X    Burkina Faso
              Seed of Bondofa maize hybrid        X    Burkina Faso
              variety
              Seed of sesame                      X    Burkina Faso
              Poultry Faso-coq breeding           X    Burkina Faso
              Maradi Red goat breed               X       Niger
              Seed of fonio dry cereal variety    X        Mali
              Seed of maize variety Sotubaka      X        Mali
              SRI                                 X        Mali
              Seed of improved sorghum            X      Senegal
              varieties F2-20, Nguinthe,
              Faorou, Darou
              Seed of improved millet varieties   X      Senegal
              ISMI 9507, Gawane, Thialack 2
              Seed of improved groundnut          X      Senegal
              varieties 55-437, 73-30, 73-33,
              69-101, 28-206
              Seed of improved cowpea             X      Senegal
              varieties Mouride, Mepakh,
              Yacine, Suvita 2




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 Annex 6.7: Status of implementation of the ECOWAS-UEMOA-CILSS Regional Harmonized Seed
 Regulation, as of December 2017




                                                                                                                         Côte d’ Ivoire




                                                                                                                                                                                          Guinea Bissau
        Additional Measures to be taken




                                                                                                                                              Gambia (The)
                                             Target States




                                                                     Burkina Faso




                                                                                                                                                                                                                                                                                                 Sierra Leone
                                                                                             Cabo Verde
        to facilitate the implementation




                                                                                                                                                                                                                                        Mauritania
        of the Regional Harmonized




                                                                                                                                                                                                                                                                                   Senegal
                                                                                                                                                                             Guinea




                                                                                                                                                                                                                                                                     Nigeria
                                                                                                                                                                                                              Liberia
                                                                                                                                                                 Ghana
                                                             Benin
        Seed Regulation by MS (List




                                                                                                                                                                                                                                                         Niger
                                                                                                              Chad




                                                                                                                                                                                                                                                                                                                    Togo
                                                                                                                                                                                                                             Mali
        non-exhaustive)




                                                                                                                                                                                                                                                                                                                               %
    1.     Publication in the Official Journal
                                                             Y5                     Y5                N        N           Y5                  Y5                Y5          Y5                       N             Y5       Y5                 N        Y5           Y5            Y5            Y5                Y5         76
           (#87)
             •       Policy reforms – Review of National Seed Regulatory Frameworks:
   2.        National Seed Legislation (cf. #4, 5,
             6 & 8)                                  Y5        Y5           Y5       Y5                                    Y5                  Y5                Y5          Y5                      Y5             Y5       Y5                Y5        Y5           Y5            Y5            Y5                Y5         100

   3.        Institution of a National Catalogue of
                                                      Y5                            Y5               Y3       Y2           Y5                  Y3                Y3          Y3                      Y3             Y2       Y5                Y2        Y1           Y5            Y5            Y3                Y5         100
             Plant Species & Varieties (#9.3)
   4.        Establishment of a National Seed
                                                      Y3                            Y5               Y3       Y2           Y5                  Y3                Y3          Y3                      Y3             Y2       Y5                Y2        Y1           Y5            Y5            Y3                Y5         100
             Committee – NSC (#10.2)
   5.        Creation of a Seed Sector Support
                                                      Y3                            Y4               Y3       Y2           Y5                  Y3                Y3          Y3                      Y3             Y2       Y5                Y2        Y1           Y5            Y1            Y3                Y4         100
             Fund – FASS (#10.2)
   6.        Determination of cultivated areas
                                                      Y5                            Y5                N        Y            N                    N               Y3           N                      Y1             N        N                 Y1        Y1           Y5            Y5            Y3                Y5         65
             (minimum & maximum) (#26/24)
   7.        Determination of Types of
             Packaging Authorized in the MS           Y3                            Y5                N        Y            N                    N               Y3           N                      Y1             N        N                  N        Y3           Y5            Y1            Y3                Y4         65
             (#51/49)
   8.        Determination of Certification Fee,
             Payment modalities          & the
             conditions
                                                      Y3                            Y5                N        Y            N                    N               Y3           N                      Y1             N        N                  N        Y3           Y5            Y1            Y3                Y4         65
             for allocation of the fees collected
             under the Certification Fee
             (#61/59.3)
   9.        Determination of Criteria for
             Accreditation        of    Producer-
                                                      N                             N                 N        N            N                    N                N           N                       N             N        N                  N         N           N             Y              N                N          53
             distributors      and    Distributors
             (#71.3/69.3)
   10.       Development of a Regulation
             Governing        Importation      and
                                                      N                             Y1                N        Y            N                    N               Y5           N                      Y1             N        N                  N         N           Y5            Y1            Y3                N          53
             Exportation of Unconventional
             Seeds (#76.3/74.3)
   11.       Development and Update of a
             National Quarantine Pest List            Y5                            Y5                N        N           Y5                    N               Y5          Y5                      Y1             N        Y5                 N        Y5           Y5            Y5            Y3                Y5         71
             (#78.2, 3/ 76.2, 3)
   12.       Determination of         appropriate
             measures to impose sanctions for         N                             Y4                N        Y            N                    N               Y5           N                      Y1             N        N                  N        Y4           Y5            Y1            Y3                Y1         76
             any infringement (#82.2/82.2)
   13.       Empowerment and Authority of
             Controllers – Establishment of the
             List of Officers Authorized to Carry     N                             Y                 N        N            N                    N                N           N                       N             N        N                  N         N           N             Y              N                N          65
             out     Compliance Verifications
             (#83.1/11.2)
   14.       Any other measure taken                -    -                               -                -          -                    -                  -           -            -                   -              -          -                -           -             -             -                  -          -
   15.       Development of the Executive
             Regulation on the Organization of
             the Regional Catalogue of Plant          Y5                            Y5                N        Y           Y5                  Y3                Y4          Y3                      Y3             Y1       Y5                Y2        Y1           Y5            Y5            Y3                Y4         94
             Species & Varieties (#9.4/)
             ER_Commissions
   16.       Development of the Executive
             Regulation related to the functions,
             Organization,       Operations      &
                                                      Y5                            Y5               Y3        Y           Y5                  Y3                Y4          Y3                      Y2             Y1       Y5                Y2        Y1           Y5            Y5            Y3                Y4         100
             Financing of the Regional Seed
             Committee                     (#10.4/)
             ER_Commissions
   17.       Development of the Executive
             Regulation on the Enabling
             Technical Regulations related to
                                                      Y                             Y                 Y        Y            Y                    Y                Y           Y                       Y             Y         Y                 Y         Y           Y             Y               Y                Y         100
             Modalities of Seed Quality Control
             &          Certification        (#58/)
             ER_Commissions
   18.       Development of the Executive
             Regulation related to Modalities of
                                                      N                             N                 N        N            N                    N                N           N                       N             N        N                  N         N           N             N              N                N          12
             Seed Phytosanitary Certification
             (#78.4/) ER_Commissions
             Adaptation of Procedure Manuals and Templates
   19.       Development of Procedure Manual
             on Plant Variety Release – VR            Y3                            Y1                N       Y1           Y1                  Y1                Y4          Y1                      Y1             N        Y1                 Y        Y1           Y5            Y2            Y3                Y4         88
             (#9.4/) PM_Commissions
   20.       Development of Procedure Manual
             for Seed Quality Control &
                                                      Y5                            Y5               Y3        Y           Y5                  Y3                Y4          Y3                      Y2             Y1       Y5                Y2        Y1           Y5            Y5            Y3                Y4         100
             Certification and for Accreditation –
             SQC (#58.4/) PM_Commissions
   21.       Development of Procedure Manual
             for Seed Phytosanitary Certification     Y5                            Y5                N        N            N                    N               Y4           N                       N             N        N                  N         N           Y5            Y5            Y3                N          35
             – PC (#78.4/) PM_Commissions
   22.       Development of Templates of
             Administrative Documents to be
                                                      Y                             Y                 Y        Y            Y                    Y                Y           Y                       Y             Y         Y                 Y         Y           Y             Y               Y                Y         100
             used        by       MS      (#57/---)
             ER_Commissions
             •       Capacity Building on:




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                                                                                                                Côte d’ Ivoire




                                                                                                                                                                     Guinea Bissau
        Additional Measures to be taken




                                                                                                                                   Gambia (The)
                                             Target States




                                                                     Burkina Faso




                                                                                                                                                                                                                                                     Sierra Leone
                                                                                           Cabo Verde
        to facilitate the implementation




                                                                                                                                                                                                          Mauritania
        of the Regional Harmonized




                                                                                                                                                                                                                                           Senegal
                                                                                                                                                          Guinea




                                                                                                                                                                                                                                 Nigeria
                                                                                                                                                                                     Liberia
                                                                                                                                                  Ghana
                                                             Benin
        Seed Regulation by MS (List




                                                                                                                                                                                                                        Niger
                                                                                                        Chad




                                                                                                                                                                                                                                                                    Togo
                                                                                                                                                                                                   Mali
        non-exhaustive)




                                                                                                                                                                                                                                                                           %
      23.    Human Resources13 (Training on
                                                              Y                     Y               N    Y         Y                  Y            Y       Y                     Y         N        Y             Y      Y           Y      Y          N             Y     82
             VR, SQC & PC)
      24.    Infrastructural Facilities14
                                                              Y                     Y               N    N         Y                  Y            Y       N                     N         N        Y             Y      Y           Y      Y           Y            Y     71
      25.    Financial Resources15
                                                              Y                     Y               N    N         Y                  Y            Y       Y                     N         Y        Y             N      Y           Y      Y           Y            Y     76
             ❖       Global status in the country
                     (%)                                     96                100                 33   71       75                 92            58      79                   46         92       54           88     100       96        92         71            83     78




 Annex 6.8: Selected findings from WAAPP-1C impact studies and M&E team evaluations
 •          In Sierra Leone, an impact study was conducted in 2016 for WAAPP-1C original financing (Sierra
            Leone, 2016). The study covered 59 villages and a sample of 501 farm households producing rice
            and/or cassava, of which 367 were WAAPP beneficiaries and 134 were not (control group). WAAPP
            disseminated high-yielding cassava and rice varieties with biotic and abiotic stress tolerance and
            improved economic value for both local consumption and industrial purposes. A randomized control
            trial design and difference-in-difference approach were used to measure the impact of the
            technologies and avoid the attribution of impact to external factors beyond WAAPP. Between 2012
            (the baseline year) and 2016, rice yields increased by 65 percent for the treatment group compared
            to the control group and by 97 percent percent compared to the baseline. Over the same period,
            cassava yields increased by 48 percent for the treatment group compared to the control group and
            by 60 percent comparing to the baseline (Table A6.8.1). The results suggest that compared to non-
            beneficiaries, beneficiaries of WAAPP interventions obtained a production impact of an additional 1.7
            mt (an increase of 120%) for rice and an additional 2.5 mt (an increase of 58 percent) for cassava
            (Table A6.8.2).
                       Table A6.8.1: Productivity of cassava and rice in treatment and control groups, Sierra Leone
            Crop             Yield level at                                              Yield level in 2016                                              Yield change relative to                                     Yield change relative to
                            baseline in 2012                                                    (t/ha)                                                      control and baseline                                         control and baseline
                                 (t/ha)                                                                                                                            (t/ha)                                                         (%)
                                                                               Treatment                       Control                                    Control                              Baseline                 Control                      Baseline
      Cassava                         12.30                                             19.68                   13.28                                              6.40                          7.38                           48                                  60
      Rice                                 1.25                                          2.46                        1.49                                          0.97                          1.21                           65                                  97
      Source: Sierra Leone (2016), Final Report End-of-Program Evaluation of West Africa Agricultural Productivity Program - Sierra
      Leone (WAAPP-SL). Data from field survey, 2016.

                         Table A6.8.2: Impact of WAAPP on cassava and rice production at the household level, Sierra Leone
                             Crop                             Production at                                                                       Production in 2016                                                   Change in production as a
                                                             baseline in 2012                                                                           (mt)                                                             result of WAAPP (mt)
                                                                   (mt)                                        Treatment                                    Control                             P-value                 Baseline                               Control
                          Cassava                                               4.31                                             8.53                               6.03                        0.1373                          4.22                                2.50
                          Rice                                                  1.43                                             3.83                               2.12                       0.0321**                         2.40                                1.71
                          Source: Sierra Leone (2016), Final Report End-of-Program Evaluation of West Africa Agricultural Productivity

 13 Y means that the country received at least one training (on variety release, seed quality control and certification, or phytosanitary
 certification).
 14 Y means that the country has at least one type of seed infrastructure (such as a seed testing laboratory, seed storage warehouses, etc.).
 15 Y means that the country receives at least some financial support for the seed sector (such as WAAPP funds or any other financial support).




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               Program - Sierra Leone (WAAPP-SL). Data from field survey, 2016.

 •    Furthermore, an evaluation of data from Sierra Leone by the project M&E team suggested further
      productivity improvements. The dissemination of new improved rice varieties (NERICA and ROK),
      combined with SRI and other best fertilizer and weed management practices, resulted in an average
      yield ranging from 2 t/ha to 6 t/ha. With the multiplication and dissemination of high-yielding, pest-
      resistant, and biofortified (yellow-fleshed Pro Vitamin A) cassava varieties (SLICASS 7-14), yields
      increased to 30–40 t/ha. This rice and cassava productivity increase induced a rise in agricultural
      household income ranging on average from 77 percent to 122 percent.

                                                                      • In Liberia, economic analysis from the
        Figure A6.8.1: Increase in yield with use of the
                                                                      government ICR of WAAPP showed that the
            NERICA 8 improved rice variety, Liberia
                                                                      project had a positive impact on the national
                                                                      economy. Implementation of the project
                                                                      contributed to increased agricultural productivity,
                                                                      especially through the dissemination and adoption
                                                                      of improved rice varieties like NERICA 8. Use of
                                                                      those varieties increased yields significantly from
                                                                      less than 1 t/ha to about 2.5 t/ha for upland
                                                                      production systems and from 1.5 t/ha to about 4
                                                                      t/ha for lowland production systems (Figure
                                                                      A6.8.1). Adaptative research conducted with
     Source: Government of The Republic of Liberia, Ministry of       newly released AfricaRice varieties (Arica 4 and 8),
     Agriculture (2017). West Africa Agriculture Productivity Program which resisted bird attack and matured early (in 90
     (WAAPP 1C) Implementation Completion Report (ICR).
                                                                      days) increased yields to 3–5 t/ha. Other
                                                                      technologies disseminated through WAAPP
       included SRI, improved rice parboiling technology, a mechanized weeder for SRI adapted from the
       USA, and a thresher. The additional rice production attributed to the project was estimated at more
       than 3,000 mt, valued at about US$2.5 million and corresponding to 1.25 percent of national rice
       imports for human consumption. Household income rose by an estimated 20 percent. Improved
       cassava varieties disseminated through WAAPP had average yields of 55 t/ha against 16 t/ha for
       traditional varieties.

 •    In The Gambia, according to the government ICR, dissemination and adoption of SRI increased rice
      yields from the conventional 2.5 mt to over 9 mt. With this rice yield increase, traditional manual
      threshing becomes laborious for women. A rice thresher was introduced by the project to reduce
      post-harvest losses, alleviate drudgery and threshing challenges faced by women, and save time.
      Power tillers were also disseminated to improve mechanization and help women plow rice fields
      better and on time.

 •    The Red Maradi goat is improving the livelihoods of family farmers, stimulating local economies,
      and making better nutrition more accessible in West Africa. The Red Maradi breed of central Niger
      is economically important in rural households for the production of milk and skins. A typical litter of
      two to three kids reaches reproductive age at six to seven months, and this breed typically produces
      two litters per year. Each female goat can also produce 0.6 liters of milk per day for three to four
      months after each litter. These indigenous livestock are well-suited to West Africa and possess a

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     wealth of genetic diversity that makes them more likely to adapt to a changing climate. This breed
     was widely disseminated over West Africa under WAAPPP and much appreciated by beneficiaries.

 •   In Togo, an impact assessment for WAAPP-1C (original funding) (Republique Togolaise, 2018) was
     conducted for a sample of 2,600 producers, of which 2,020 were project beneficiaries (the
     treatment group) and 580 were not (control group). Findings from this sample, based on a double
     difference test, showed that between 2012 and 2016 WAAPP interventions induced a maize yield
     increase from 1.5 t/ha to 1.8 t/ha for beneficiaries and 1.7 t/ha for the control group; in other words,
     the project delivered a yield gain of about 0.1 t/ha. The household maize production increased by 0.2
     mt over a baseline of 0.86 mt in 2012 to 1.65 mt for beneficiaries and 1.45 for the control group.
     Project interventions for rice increase yields by an estimated 0.33 t/ha, from the baseline of 1.41 t/ha
     in 2012 to 1.72 t/ha for project beneficiaries and 1.39 t/ha for the control group in 2016. Household
     rice production was estimated at 0.36 mt, rising from a baseline of 0.60 mt to 0.99 mt for project
     beneficiaries and 0.63 mt for the control group in 2016.

 •   Under the AF, further yield improvements were observed in 2019 in Togo. Estimates from project
     M&E team showed that dissemination and adoption of improved rice (IR841) and SRI increased yields
     from 1.5 t/ha to 4–5 t/ha. Beneficiary incomes rose by 64 percent with the adoption of improved rice
     varieties and over 500 percent when the varieties were used with the SRI technology. The use of
     improved maize varieties—Ikenné, Obatanpa, TZEE, ACR—increased yields from 0.8 t/ha to 2 t/ha.

 •   In Benin, a 2019 evaluation by the M&E team showed that yields and income increased with the
     dissemination of improved technologies for maize, rice, and pineapple production. The technologies
     included new maize varieties (AK 94, DMR, ESR-Y, ESR-W, EVDT 97, STR, QPM Faaba, TZPB SR); a new
     rice variety (IR841) combined with fertilizer and the SRI technology; and the use of polyethylene film
     for pineapple production. Maize yields increased from less than 1 t/ha to 2.5–3.5 t/ha. With the new
     rice variety and SRI, yields increased from less than 2 t/ha to up to 9 t/ha for beneficiaries. The use of
     polyethylene film for pineapple production was a major success for WAAPP. This technology reduced
     the considerable labor and time required for weeding, helped soil to retain water (thus reducing
     irrigation needs), and shortened the production cycle. Most important, the technology doubled
     pineapple yields, which rose on average from 35 t/ha to 70 t/ha, and the income of pineapple
     producers rose from 2.2 million West African CFA francs per hectare (CFAF) to CFAF5 million
     (US$3,700 to US$8,300) per hectare.

 •   In Guinea, an evaluation by the M&E team suggested producers had obtained positive outcomes in
     yield and income for rice, cassava, and especially pineapple. The dissemination and adoption of
     improved high-yielding rice varieties that tolerated iron toxicity and pests (M6, CK90, CK801 for
     irrigated areas; CK21, CK26, CK90, CK801 for rainfed areas) increased yields from 2 t/ha to 4 t/ha for
     irrigated rice and from 1 t/ha to 3 t/ha for rainfed rice. This improved productivity increased
     producers’ incomes by an estimated 40–60 percent for irrigated rice—an increase valued at 6–8
     million Guinean francs (GNF) or US$600–800—and by 30–40 percent for rainfed rice (GNF5 million or
     US$500). The adoption of the improved technology for parboiled rice increased processing capacity
     by up to 150–200 kg per operation compared to 30 kg with traditional methods. Consequently, annual
     income increased by GNF44,174,018 (US$4,400) for producer organizations using the technology and
     by GNF25,380,059 (US$2,500) for individual women using the technology. For cassava, the adoption


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       of improved, high-yielding and early-maturing (8–12 months against 18) varieties that were also
       resistant to drought raised yields from 15 t/ha to 25 t/ha. Techniques for the rapid propagation of
       new pineapple varieties (Tokoumbo, TME 419) increased the number of slips for propagation to 10–
       15 compared to 2–3 before, making it possible to produce 200,000 slips per year, generating income
       of GNF80–100 million (US$ 8,000–10,000).

 •     CORAF supported countries through the Integrated Agricultural Research for Development
       paradigm using value chain and IP approaches. CORAF contracted a consortium of institutions,
       including the International Centre for development-oriented Research in Agriculture in the
       Netherlands and IITA to support WAAPP-1C countries in establishing IPs to accelerate the adoption of
       released technologies. A total of 150 IPs were established and helped to accelerate adoption of
       technologies and connect different value chain actors.

 Annex 6.9: WAAPP-1C impacts on agricultural productivity and household income in Benin, Guinea,
 Liberia, Sierra Leone, and Togo: Estimates from project M&E system

 Table A6.9.1: WAAPP-1C impacts, Benin
     Technology        Technical and         Action undertaken               Number of       Area covered, number
     disseminated        economic                                          persons reached   of animals, or number
                       performance                                                             of processing units
                                                Cassava value chain
     AK 94 DMR ESR-Y      3.5 t/ ha    Acquisition of 2.3 t for the             230                 115.02
                                       benefit of farmers subsidized at
                                       75%; urea and NPK fertilizer
                                       available with 50% subsidy
     DMR ESR W            2.5 t/ha     Acquisition of 3.65 t for the            365                 182.54
                                       benefit of farmers subsidized at
                                       75%; urea and NPK fertilizer
                                       available with 50% subsidy
                                                 Maize value chain
     EVDT 97 STR           3 t/ha      Acquisition of 429,410 t for the        42,949             21,474.70
                                       benefit of the farmers
                                       subsidized at 75%; urea and
                                       NPK fertilizer available with 50%
                                       subsidy
     QPM Faaba            3.5 t/ha     Acquisition of 576.3 t for the          57,641             28,820.63
                                       benefit of farmers subsidized at
                                       75%; urea and NPK fertilizer
                                       available with 50% subsidy
     SYNEE 2000           2.5 t/ha     Acquisition of 151.77 t for the         15,179              7,589.98
                                       benefit of farmers subsidized at
                                       75%; urea and NPK fertilizer
                                       available with 50% subsidy
     TZPB                 3.5 t/ha     Acquisition of 147.2 t for the          14,722              7,361.44
                                       benefit of farmers subsidized at
                                       75%; urea and NPK fertilizer
                                       available with 50% subsidy
     TZPB                  3 t/ha      Acquisition of 71,100 t for the         7,111               3,555.69



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                                               benefit of the farmers
                                               subsidized at 75%; urea and
                                               NPK fertilizer available with 50%
                                               subsidy
   TZPB SR                    3.5 t/ha         Acquisition of 147.2 t for the               14,722                   7,361.44
                                               benefit of farmers subsidized at
                                               75%; urea and NPK fertilizer
                                               available with 50% subsidy
                                                              Rice value chain
   IR841 with SRI              9 t/ha          Acquisition of 306 t for the                 20,400                   10,200
                                               benefit of farmers subsidized at
                                               75%; urea and NPK fertilizer
                                               available with 50% subsidy
                                                        Soybean value chain
   TGX1910-14F                 2 t/ha          Acquisition of 167,855 t for the              7,460                    3,730
                                               benefit of farmers subsidized at
                                               75%; 10,000 sachets of
                                               inoculum subsidized at 50%


 Table A6.9.2: WAAPP-1C impacts, Guinea
   Technology or             Technical and economic                    Action undertaken              Number of        Area covered
   innovation                     performance                                                          persons         or number of
                                                                                                       reached          processing
                                                                                                                           units
                                                              Rice value chain
   Irrigated variety     - Potential yield = 7.5 t/ha                Multiplication of 4 t G3           15,000           10,250 ha
   M6                    - Average yield = 4 t/ha                      seed,120 t R1 seed;            farmers, of
                         - Gross Revenue per Hectare =             dissemination as part of SRI       which 30%
                           GNF8 million (60% revenue                                                    women
                           increase)
                         - Key strengths: Adaptability
                           (lowland and plains), stable
                           productivity
   Rainfed varieties     - Potential yield = 5 t/ha               Multiplication as of 2018: 85 t     47,000 rice       150,000 ha
   CK21 and CK26         - Average yield = 3 t/ha                  G3 seed, 8.500 t R1 seed          farmers (32%
                         - Gross Revenue per Hectare =                                                  female);
                           GNF5 million (30% revenue                                                    225 seed
                           increase)                                                                   multipliers
                         - Key strengths: Adaptability,                                               (group and
                           tolerate iron toxicity, lodging,                                            individual)
                           and certain viral diseases
   Irrigated varieties   - Potential yield = 5 t/ha                Multiplication as of 2018 of       47,000 rice      150,000 ha
   CK90 and CK 801       - Average yield = 3–4 t/ha                105 t G3 seed, 14.500 t R1        farmers (32%
                         - Gross Revenue per Hectare =                         seed                     female);
                           GNF6 million (40% revenue                                                    225 seed
                           increase)                                                                   multipliers
                         - Key strength: adaptability,                                                (group and
                           tolerate iron toxicity, lodging,                                            individual)
                           and certain diseases




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   Rainfed varieties   - Potential yield = 5 t/ha             Multiplication as of 2018 of        15,000 rice    150,000 ha
   Massaraka, CQ15,    - Average yield = 3–4 t/ha            65 t G3 seed, 6.500 t R1 seed;       farmers; 75
   RD15                - Gross Revenue per Hectare =          support for seed producers;             seed
                         GNF5 million (40% revenue           repurchase and distribution of        multipliers
                         increase)                               seed; stakeholders’ RC           (group and
                       - Key strength: Adapted to                                                  individual)
                         mangrove production,                                                    owned by the
                         tolerate iron toxicity, lodging,                                           Kobarasé
                         and certain diseases                                                     Cooperative
   Improved rice       Cost-effectiveness of the oven:        Availability of 200 improved       55,000 people   133 units
   parboiling kit      - Capacity of 150–200 kg per           drying kits; training of 1,850     affected (85%   installed
                         operation compared to 30 kg          persons in drying technology        women and
                         with traditional method                (of which 1,530—84%—              65% young
                       - Reduction of drudgery                  female); training of 850            people)
                       - Low consumption of wood,                 persons in simplified
                         water                                 management, quality and
                       - Better seed quality, drying           marketing in a value chain
                         time, and cost, low rate of          approach (85% female, 65%
                         broken grains                       young people); construction of
                       - Gross Revenue per Year =                12 rice processing and
                         GNF44,174,018 (producer             marketing platforms; research
                         organization)                         program on improving the
                       - Gross Revenue per Year =               quality of parboiled rice
                         GNF25,380,059 (individual
                         operator)
                                                     Pineapple value chain
   Production of       - Potential yield = 10–15 slips       Multiplication of 2 million slips
   slips for             per strain versus 2–3               by IRAG; implementation of 5
   propagation         - Profit from a nursery of 1 ha       fields for the production of 1
   through stem          producing 200,000 slips per                   million slips
   sectioning            year = GNF80–100 million
                         (80% revenue increase)
                       - Key strength: Homogeneous
                         planting material of a good
                         variety can be produced;
                         better control of the
                         production cycle
                                                        Cassava value chain
   Production and      - Potential yield = 30 t/ha             Multiplication of 1 million
   dissemination of    - Key strengths: rapid 8–12                      cuttings
   variety Tokoumbo      month vegetative cycle,
                         drought tolerant
   Production and      - Potential yield = 25 t/ha             Multiplication of 1 million
   distribution of     - Key strengths: Mild variety,                   cuttings
   variety TME 419       12-month vegetative cycle,
                         drought tolerant




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 Table A6.9.3: WAAPP-1C impacts, Liberia
   Technology                Technical and         Action undertaken        Number of persons         Area covered,
                               economic                                         reached            number of animals, or
                             performance                                                           number of processing
                                                                                                          units
                                                    Rice value chain
   NERICA L 19 variety   - Yield = 3.5 t/ha         Support to seed                 90,000              30,000 ha
                         - Revenue increase =      multiplication; seed
                           20%                       dissemination
   SRI weeder            - Simple to adapt,          Support to SRI        300 farmers (of whom       30 units being
                           cost effective,           interventions              150 women)              fabricated
                           efficient
   Customized power      - Very easy to           Produce tires allowing    300 through farmer          6 ha testing
   tiller                  operate                  tiller to operate in       field schools
                         - 2 gallons fuel daily         lowland crop
                                                         operations
                                                   Cassava value chain
   Variety Caricas       - Yield = 3.5 t/ha        Support to multiply              8,000                 100 ha
                         - Revenue increase =           cuttings
                           40%
   World Bank I          - Yield= 3 t/ha           Support to process              6,000                  150 ha
                         - Suitable for gari        cassava for gari          (of whom 3,400
                           production                                             women)

   Technology                Technical and                      Action undertaken                    Status of release
                               economic                                                                  (Yes/No)
                             performance
                                                    Rice value chain
   Variety NERICA L-19   - Yield: 5–6 t/ha                 Foundation seed production                       Yes
                         - Revenue increase =
                           40%
   Variety Orylux 6      - Yield: 5 t/ha                     Certified seed production                      Yes
   Variety Arica 4       - Yield: 5 t/ha                        Adaptive research                           Yes
                         - Awned head
                           prevents bird
                           damage
   Variety Arica 8       - Yield: 4–5t/ha          Possible to have 3 production cycles per year            Yes
                         - Matures in 3
                           months




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  Table A6.9.4: WAAPP-1C impacts, Sierra Leone
   Technology          Technical and economic              Action undertaken                Number of     Area covered
                            performance                                                      persons          (ha)
                                                                                             reached
                                                     Rice value chain
   Variety NERICA L-   - Yield = 4 t/ha               Support to seed multiplication:          94,593       20,654
   19                  - Revenue increase by              (1,036 mt breeder seed;          (of whom 59%
                         77%                            9,250 mt foundation seed);            women)
                                                    1,087 mt certified seed from Ebola
                                                    Emergency Seed Support Program
   Variety NERICA      - Yield = 5 t/ha              Support to seed multiplication:            7,182        1,153
   L.20                - Revenue increase =              1.02 mt breeder seed;             (of whom 43%
                         122%                           75 mt foundation seed                 women)

   Variety ROK35       - Yield = 3 t/ha              Support to seed multiplication:
                       - Revenue increase =               1 mt breeder seed
                         33%
   Variety ROK36       - Yield = 3 t/ha              Support to seed multiplication:
                       - Revenue increase =               1 mt breeder seed;
                         33%                           0.005 mt foundation seed
   Variety ROK 37      - Yield = 4 t/ha              Support to seed multiplication:
                       - Revenue increase =               1 mt breeder seed;
                         77%                           0.005 mt foundation seed
   Herbicide           - Yield = 3.6 t/ha          On-farm trials conducted for 3 years
   Butaforce for       - Revenue increase =
   weed control          111%
   System of Rice      - Yield basic SRI =         On-farm trials conducted for 2 years;      5,000           20
   Intensification       3.4 t/ha                  technology disseminated nationwide
   (SRI)               - Yield enriched SRI =
                         6.3 t/ha
                       - Revenue increase for
                         basic SRI = 70%;
                         enriched SRI = 215%
   Deep placement      - Yield = 1.9 t/ha          On-farm trials conducted for 2 years       4,000
   of Urea Super       - Revenue increase =
   Granules              58%
                                                   Cassava value chain
   Varieties SLICASS   - Storage root yield:          Germplasm enhancement,                   35,000       15,000
   7–14                  30–40 t/ha                 multiplication, and dissemination      (of whom 49%
                       - Resistant to African                                                 women)
                         cassava mosaic
                         disease and cassava
                         bacterial blight
                       - One of the varieties is
                         a yellow-fleshed Pro
                         Vitamin A variety




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 Table A6.9.5: WAAPP-1C impacts, Togo
   Technology                 Technical and               Action undertaken              Number of persons        Area
                                economic                                                     reached            covered
                              performance                                                                         (ha)
                                                      Maize value chain
   Improved varieties      - Yield= 2 t/ha         Support for the dissemination of            57,600           28,792
   Ikenné, Obatanpa,       - Revenue increase =             certified seed              (of whom 40% women)
   TZEE, ACR                 25%                   Support for the dissemination of          248 farmers         887
                                                            certified seed
                                                  Support for the production of basic     Researchers (ITRA)      10
                                                                 seed
                                                       Rice value chain
   Improved variety        - Yield = 4 t/ha        Support for the dissemination of            15,000           13,000
   IR 841                  - Revenue increase =             certified seed              (of whom 40% women)
                             64%                   Support for the dissemination of          300 farmers         289
                                                            certified seed
                                                  Support for the production of basic                             5
                                                                 seed
   System of rice          - Yield = 5 t/ha        Support for the dissemination of           22,724,            1,800
   intensification (SRI)   - Revenue increase =           SRI certified seed            of whom 9,818 (43,2%)
                             595%                                                             women
                                                  Maize and rice value chain
   GIFS/GIFER C            - Yield = 2.5–3 t/ha         Dissemination support                  16,032,           999
                           - Revenue increase =                                            of whom 5,735
                             25–50%                                                       (35.77%) women



 Annex 6.10: Regional Strategy on Nutrition-Sensitive Agriculture and Food Safety
 Under the WAAPP-1C AF, CORAF was charged with developing a regional strategy on nutrition and food
 safety under the leadership of ECOWAS. The strategy would provide the framework for each participating
 country to implement national action plans to disseminate T&I that was nutrition-sensitive and promoted
 food safety. The strategy was completed and shared with WAAPP-1C-AF countries. As result, a number of
 nutrition sensitive technologies were promoted, including soybean products in Togo, fonio, and beta-
 carotene–enriched cassava and sweet potato varieties in Guinea. The WAAPP projects in Niger and Benin
 conducted training on processing enriched food from local ingredients.
 Annex 6.11: South-South partnerships
 With World Bank leadership and CORAF regional coordination, WAAPP expanded its interactions
 beyond Africa by building South-South partnerships. Exchange visits were organized to Brazil, China,
 India, and Israel to explore the potential for WAAPP countries to benefit from scientific and technological
 progress in agriculture in those countries.
 Brazil: In 2013, a delegation of 52 scientists and farmers from the nine NCoS visited Embrapa centers
 working on maize and sorghum, vegetables, cassava and fruits, rice and beans, aquaculture, beef cattle,
 dairy cattle, and issues related to semi-arid environments. As a result, some technologies have been
 transferred, tested, and disseminated in WAAPP countries, although the institutional partnership


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 expected did not proceed as hoped. Owing to a change in Embrapa policy and management, CORAF did
 not conclude a Memorandum of Understanding to implement the types of collaboration envisioned,
 including joint research programs, the exchange of plant and animal materials, capacity strengthening
 (including academic training), and the development of agricultural machinery.
 China: An exchange visit to CAAS in Beijing took place in 2014, and in 2017 a second visit was hosted by
 the HAAFS. The first visit resulted in a joint research program between the rice NCoS in Mali and CAAS,
 which led to the development of 10 hybrid rice varieties, released in 2018 and disseminated in Guinea
 and Niger. During the visit to HAAFS, three areas of collaboration were identified: co-development of rice
 and maize varieties and dissemination any subsequently released, the introduction of intensive
 aquaculture, and the establishment of demonstration sites for Chinese agricultural machinery. Ultimately,
 two sites in Guinea piloted intensive aquaculture.
 India: An exchange visit to the India Farm Science Centre in Hyderabad was organized in 2014 to explore
 opportunities to pilot the centre’s KVK approach to technology transfer. Niger and four countries from
 the other WAAPP series (Burkina Faso, Ghana, Mali, and Senegal) participated in this exchange. The KVK
 approach uses demonstration plots and information and communication technology (mobile phones and
 call centers for e-extension) to train farmers to use agricultural innovations. Each participating country
 developed a road map to test the KVK approach. Niger established two centers for KVK testing (Winditan
 and Toukounouss) and through the project procured a bus to facilitate extension activities.
 Israel: In 2017, under ECOWAS leadership and CORAF coordination, 20 scientists and directors of NCoS
 and agricultural research institutes attended a specially designed training program in Israel on the linkages
 between applied research, extension, and production. A partnership was established between MASHAV
 (Israel’s agency for development coordination) and the NCoS for capacity building and joint research
 proposal preparation and implementation. As a next step, annual knowledge-sharing workshops between
 Israel and West Africa research and development stakeholders were planned, with a workshop on
 agricultural water management to be organized in Cape Verde in 2018. Budget constraints at CORAF and
 ECOWAS prevented the workshop from taking place, and the partnership went no further.

 Annex 6.12: Scientific publication of WAAPP research
 A total of 125 publications in regional and national journals were produced compared to the target of 133
 (94% of achievement). Côte d’Ivoire, Niger, Sierra Leone, The Gambia, and Togo met their targets, but
 Benin, Guinea, and Liberia did not (Benin had 39 publications and Togo had 35). CORAF provided various
 types of support to NCoS to encourage scientific publishing; its efforts train 30 young researchers in data
 analysis and scientific writing led to the publication of 28 articles in two issues of Agronomie Africaine
 (volume 29, numbers 1 and 2, 2017). Publications on the findings of WAAPP-funded research were
 important for sharing knowledge with peers in the international agricultural research community, lending
 visibility to African research, and better positioning African research organizations as prospective research
 partners. Young scientists who benefited from WAAPP-1C scholarships advanced their research careers
 by contributing to these publications.




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 Annex 6.13: References
 1.   CORAF. http://www.coraf.org/
 2.   Government of The Republic of Liberia, Ministry of Agriculture. 2017. West Africa Agricultural Productivity
      Program (WAAPP 1C) – Implementation Completion Report.
 3.   Government of The Republic of Liberia, Ministry of Agriculture. 2017. West Africa Agriculture Productivity
      Program (WAAPP 1C) Implementation Completion Report (ICR).
 4.   Johnson, M., R. Birner, J. Chamberlin, X. Diao, S. Fan, A. Nin-Pratt, D. Resnick, L. You, and B. Yu. 2008. “Regional
      Strategic Alternatives for Agriculture-led Growth and Poverty Reduction in West Africa.” ReSAKSS Working
      Paper 22, International Food Policy Research Institute (IFPRI), Washington, DC.
 5.   Liberia Research and Evaluation Services. 2014. Impact Assessment Report for the West Africa Agricultural
      Productivity Program (WAAPP 1C).
 6.   Niéyidouba Lamien, Hiroshi Hiroki, Abdoulaye Toure, and Kenyet Barlay, with the Contribution of the
      Coordinators of WAAPP Côte d’Ivoire, Guinea, Liberia, and Sierra Leone. 2014. Advance in rebuilding adaptive
      research and technology transfer for rice sector in Mano River Union Countries
 7.   République Béninoise, Ministère de l’Agriculture, de l’Elevage et de la Pêche. 2016. Formation et Réalisation
      d’une Analyse Financière des Microentreprises Ayant Adopté des Technologies Promues par le Projet de
      Productivité Agricole en Afrique de l’Ouest (PPAAO-Bénin).
 8.   République de Guinée, Ministère de l’Agriculture. 2016. Rapport d’Achèvement du Programme de Productivité
      Agricole en Afrique de l’Ouest (PPAAO/WAAPP-1C) – Japan PHRD TF GRANT NUMBER TF099674-GN.
 9.   République de Guinée, Ministère de l’Agriculture. 2020. Rapport d’Achèvement du Financement Additionnel du
      Programme de Productivité Agricole en Afrique de l’Ouest (PPAAO -1C FA- Guinée).
 10. République du Niger – Ministère de l’Agriculture et de l’Elevage. 201 9. Rapport d’’Achèvement du Programme
     de Productivité Agricole en Afrique de l’Ouest (PPAAO/WAAPP -1C) – Phase additionnelle 2017-2019.
 11. République Togolaise, Ministère de l’Agriculture, de l’élevage et de l’Hydraulique. 2016. Etude complémentaire
     pour l’établissement de la situation de référence du Programme de Productivité Agricole en Afrique de l’Ouest
     (PPAAO-Togo).
 12. République Togolaise, Ministère de l’Agriculture, de l’élevage et de l’Hydraulique. 2018. Rapport de l’Etude
     d’Impact de la Mise en Œuvre de la Première Phase du PPAAO – TOGO.
 13. République Togolaise, Ministère de l’Agriculture, de l’élevage et de l’Hydrauliq ue. 2019. Rapport de Fin
     d’Exécution du Programme de Productivité Agricole en Afrique de l’Ouest (PPAAO-Togo) – Période: 2013-2019.
 14. Sierra Leone. 2016. Final Report End-of-Program Evaluation of West Africa Agricultural Productivity Program -
     Sierra Leone (WAAPP-SL).
 15. The Gambia. 2016. West Africa Agricultural Productivity Program (WAAPP) - Project Completion Report.
 16. West and Central Africa Council for Agricultural Research and Development (CORAF). 2019. Implementation
     Completion Report of the West Africa Agricultural Productivity Program (WAAPP) 1C and Additional Financing.
 17. World Bank. Various dates. Implementation Support Mission Aide-Memoires for the West Africa Agricultural
     Productivity Program (WAAPP-1C). Washington, DC.
 18. World Bank. Various dates. Implementation Status and Results Reports (ISRs) for the West Africa Agricultural
     Productivity Program (WAAPP-1C). Washington, DC.
 19. World Bank. 2007. World Development Report 2008: Agriculture for Development . Washington, DC.


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 20. World Bank. 2011. Project Appraisal Document for the 3rd Series of Projects Under the First Phase of the West
     Africa Agricultural Productivity Program (WAAPP-1C). Washington, DC.
 21. World Bank. 2014. Implementation Completion Results Report (ICR) for the West Africa Agricultural Productivity
     Program Support Project for the First Phase of the Support Program (WAAPP-1A). Washington, DC.
 22. The World Bank. 2017. Implementation Completion Results Report (ICR) for the 2nd. Series of Projects Under the
     first Phase of the West Africa Agricultural Productivity Program (WAAPP-1B). Washington, DC.
 23. World Bank. 2017. Project Paper on Proposed Additional Credits to the Republic of Benin, Guinea, Niger and
     Togo for the West Africa Agricultural Productivity Program (WAAPP-1C). Washington, DC.
 24. World Bank. 2019. Implementation Completion Results Report (ICR) for the 1 st Series of Projects Under the
     Second Phase of the West Africa Agricultural Productivity Program (WAAPP-2A). Washington, DC.




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