Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products

dc.creatorEtten, J. van
dc.creatorde Sousa, K.
dc.creatorCairns, J.E.
dc.creatorDell'acqua, M.
dc.creatorFadda, C.
dc.creatorGüereña, D.T.
dc.creatorHeerwaarden, J.
dc.creatorAssefa, T.
dc.creatorManners, R.
dc.creatorMüller, A.
dc.creatorPè, M.E.
dc.creatorPolar, V.
dc.creatorRamirez Villegas, J.
dc.creatorSolberg, S.Ø.
dc.creatorTeeken, B.
dc.creatorTufan, H.A.
dc.date2023-05-03T20:05:13Z
dc.date2023-05-03T20:05:13Z
dc.date2023
dc.date.accessioned2023-07-17T20:10:34Z
dc.date.available2023-07-17T20:10:34Z
dc.identifierhttps://hdl.handle.net/10883/22587
dc.identifier10.1073/pnas.2205771120
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7514330
dc.descriptionThis perspective describes the opportunities and challenges of data-driven approaches for crop diversity management (genebanks and breeding) in the context of agricultural research for sustainable development in the Global South. Data-driven approaches build on larger volumes of data and flexible analyses that link different datasets across domains and disciplines. This can lead to more information-rich management of crop diversity, which can address the complex interactions between crop diversity, production environments, and socioeconomic heterogeneity and help to deliver more suitable portfolios of crop diversity to users with highly diverse demands. We describe recent efforts that illustrate the potential of data-driven approaches for crop diversity management. A continued investment in this area should fill remaining gaps and seize opportunities, including i) supporting genebanks to play a more active role in linking with farmers using data-driven approaches; ii) designing low-cost, appropriate technologies for phenotyping; iii) generating more and better gender and socioeconomic data; iv) designing information products to facilitate decision-making; and v) building more capacity in data science. Broad, well-coordinated policies and investments are needed to avoid fragmentation of such capacities and achieve coherence between domains and disciplines so that crop diversity management systems can become more effective in delivering benefits to farmers, consumers, and other users of crop diversity.
dc.languageEnglish
dc.publisherNational Academy of Sciences
dc.relationClimate adaptation & mitigation
dc.relationGender equality, youth & social inclusion
dc.relationPoverty reduction, livelihoods & jobs
dc.relationNutrition, health & food security
dc.relationAccelerated Breeding
dc.relationGenetic Innovation
dc.relationSystems Transformation
dc.relationBill & Melinda Gates Foundation
dc.relationhttps://hdl.handle.net/10568/129798
dc.rightsCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
dc.rightsOpen Access
dc.source14
dc.source120
dc.source2205771120
dc.source1091-6490
dc.sourceProceedings of the National Academy of Sciences of the United States of America
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectSocioeconomic Heterogeneity
dc.subjectGENE BANKS
dc.subjectPLANT BREEDING
dc.subjectGENDER
dc.subjectGENOTYPE ENVIRONMENT INTERACTION
dc.subjectSOCIOECONOMIC ASPECTS
dc.subjectMaize
dc.titleData-driven approaches can harness crop diversity to address heterogeneous needs for breeding products
dc.typeArticle
dc.typePublished Version
dc.coverageWashington, DC (USA)


Este ítem pertenece a la siguiente institución