CGSpaceA Repository of Agricultural Research Outputs
    View Item 
    •   CGSpace Home
    • CGIAR 2030 research initiatives (2022-2024)
    • CGIAR Initiative on Market Intelligence
    • View Item
       
    • CGSpace Home
    • CGIAR 2030 research initiatives (2022-2024)
    • CGIAR Initiative on Market Intelligence
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Market intelligence for informing crop-breeding decisions by CGIAR and NARES

    Thumbnail
    View/Open
    Brief (227.8Kb)
    Authors
    Donovan, Jason A.
    Coaldrake, P.
    Rutsaert, P.
    Banziger, M.
    Mbugua-Gitonga, A.
    Naziri, D.
    Newby, J.
    Ndegwa, M.K.
    Demont, Matty
    Date Issued
    2022
    Language
    en
    Type
    Brief
    Review status
    Internal Review
    Accessibility
    Open Access
    Usage rights
    Other
    Metadata
    Show full item record
    Share
    
    Citation
    Donovan, J., Coaldrake, P., Rutsaert, P., Bänzinger, M., Gitonga, A., Naziri, D., Demont, M., Newby, J. and Ndegwa, M. 2022. Market intelligence for informing crop-breeding decisions by CGIAR and NARES. Market Intelligence Brief Series 1. Montpellier: CGIAR. https://hdl.handle.net/10883/22248
    Permanent link to cite or share this item: https://hdl.handle.net/10568/126019
    External link to download this item: https://repository.cimmyt.org/bitstream/handle/10883/22248/65689.pdf?sequence=1&isAllowed=y
    Abstract/Description
    Crop breeding by the Consultative Group on International Agricultural Research (CGIAR), in partnership with national agricultural research and extension systems (NARES) and privately owned seed companies, forms the backbone of the research and development (R&D) effort needed to ensure future food security in developing regions. Over the past decades, varieties derived from CGIAR germplasm have helped provide food for hundreds of millions living in harsh and vulnerable environments. However, the capacity to deliver increased benefits from crop breeding will depend on effective strategies to address the stubbornly slow rate of uptake of improved varieties. Meeting the challengewill require, among other inputs, deeper insights on the evolving preferences and requirements of farmers, processors and consumers. In short, breeding will need to be led more by demand. Key to the success of demand-led breeding will be the availability of reliable and timely intelligence on the current and future preferences and requirements of farmers, processors and consumers. Although ‘market intelligence’ has existed in various forms in CGIAR’s social science research agenda, an opportunity exists for increased relevance based on shared approaches and tools and new partnerships, both within CGIAR and between CGIAR and its partners. Beginning in 2022, a coordinated effort through the CGIAR Initiative on Market Intelligence looks to build cross-functional and transdisciplinary teams to provide market intelligence in support of crop breeding and seed-system development.
    CGIAR Author ORCID iDs
    Jason Donovanhttps://orcid.org/0000-0001-7733-7451
    Pieter Rutsaerthttps://orcid.org/0000-0001-9691-6088
    Marianne Bänzigerhttps://orcid.org/0000-0002-8330-7993
    Matty Demonthttps://orcid.org/0000-0001-9086-5654
    CGIAR Action Areas
    Genetic Innovation; Systems Transformation
    CGIAR Impact Areas
    Gender equality, youth and social inclusion; Nutrition, health and food security; Poverty reduction, livelihoods and jobs
    CGIAR Initiatives
    Market Intelligence
    Other CGIAR Affiliations
    Policies, Institutions, and Markets
    AGROVOC Keywords
    market intelligence; crops; breeding; seed systems
    Organizations Affiliated to the Authors
    International Rice Research Institute; International Maize and Wheat Improvement Center; International Potato Center
    Investors/sponsors
    CGIAR Trust Fund
    Related material
    Related reference: https://hdl.handle.net/10883/22248
    Collections
    • CGIAR Initiative on Market Intelligence [87]

    Show Statistical Information


    AboutPrivacy StatementSend Feedback
     

    My Account

    LoginRegister

    Browse

    All of CGSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subjectThis CollectionBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subject

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    AboutPrivacy StatementSend Feedback