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

cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationBioversity Internationalen
cg.contributor.affiliationInland Norway University of Applied Sciencesen
cg.contributor.affiliationScuola Superiore Sant'Annaen
cg.contributor.affiliationInternational Center for Tropical Agricultureen
cg.contributor.affiliationWageningen University & Researchen
cg.contributor.affiliationCornell Universityen
cg.contributor.affiliationBioversity International and the International Center for Tropical Agricultureen
cg.contributor.affiliationInternational Institute of Tropical Agricultureen
cg.contributor.affiliationInternational Potato Centeren
cg.contributor.donorBill & Melinda Gates Foundationen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeAccelerated Breeding
cg.contributor.initiativeNature-Positive Solutions
cg.creator.identifierJacob van Etten: 0000-0001-7554-2558
cg.creator.identifierKauê de Sousa: 0000-0002-7571-7845
cg.creator.identifierJill Cairns: 0000-0002-2735-3485
cg.creator.identifierCarlo Fadda: 0000-0003-3075-6207
cg.creator.identifierAnna Müller: 0000-0003-3120-8560
cg.creator.identifierJulian Ramirez-Villegas: 0000-0002-8044-583X
cg.creator.identifierBéla Teeken: 0000-0002-3150-1532
cg.identifier.doihttps://doi.org/10.1073/pnas.2205771120en
cg.isijournalISI Journalen
cg.issn0027-8424en
cg.issue14en
cg.journalProceedings of the National Academy of Sciences of the United States of Americaen
cg.reviewStatusPeer Reviewen
cg.subject.actionAreaGenetic Innovation
cg.subject.actionAreaSystems Transformation
cg.subject.alliancebiovciatAGRICULTUREen
cg.subject.impactAreaClimate adaptation and mitigation
cg.subject.impactAreaGender equality, youth and social inclusion
cg.subject.impactAreaNutrition, health and food security
cg.subject.impactAreaPoverty reduction, livelihoods and jobs
cg.subject.sdgSDG 1 - No povertyen
cg.volume120en
dc.contributor.authorEtten, Jacob vanen
dc.contributor.authorSousa, Kauê deen
dc.contributor.authorCairns, Jill E.en
dc.contributor.authorDell’Acqua, Matteoen
dc.contributor.authorFadda, Carloen
dc.contributor.authorGüereña, David T.en
dc.contributor.authorHeerwaarden, Joost vanen
dc.contributor.authorAssefa, Teshaleen
dc.contributor.authorManners, Rhysen
dc.contributor.authorMüller, Annaen
dc.contributor.authorPè, Mario Enricoen
dc.contributor.authorPolar, Vivianen
dc.contributor.authorRamírez Villegas, Julián Armandoen
dc.contributor.authorSolberg, Svein Øivinden
dc.contributor.authorTeeken, Bélaen
dc.contributor.authorTufan, Hale Annen
dc.date.accessioned2023-03-29T13:48:31Zen
dc.date.available2023-03-29T13:48:31Zen
dc.identifier.urihttps://hdl.handle.net/10568/129798
dc.titleData-driven approaches can harness crop diversity to address heterogeneous needs for breeding productsen
dcterms.abstractThis 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 socioeco nomic 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.en
dcterms.accessRightsOpen Access
dcterms.audienceScientistsen
dcterms.available2023-03-27
dcterms.bibliographicCitationvan Etten, J.; de Sousa, K.; Cairns, J.E.; Dell’Acqua, M.; Fadda, C.; Guereña, D.; van Heerwaarden, J.; Assefa, T.; Manners, R.; Müller, A.; Pè, M.E.; Polar, V.; Ramirez-Villegas, J.; Solberg, S.Ø.; Teeken, B.; Tufan, H.A. (2023) Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products. PNAS 120(14): e2205771120. 10 p. ISSN: 0027-8424en
dcterms.extent10 p.en
dcterms.issued2023-04-04
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherNaturaal Academy of Scienceen
dcterms.subjectgene banks-genebanksen
dcterms.subjectplant breedingen
dcterms.subjectgenderen
dcterms.subjectgenotypesen
dcterms.subjectsocioeconomic aspectsen
dcterms.typeJournal Article

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