Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products
cg.authorship.types | CGIAR and advanced research institute | en |
cg.contributor.affiliation | Bioversity International | en |
cg.contributor.affiliation | Inland Norway University of Applied Sciences | en |
cg.contributor.affiliation | Scuola Superiore Sant'Anna | en |
cg.contributor.affiliation | International Center for Tropical Agriculture | en |
cg.contributor.affiliation | Wageningen University & Research | en |
cg.contributor.affiliation | Cornell University | en |
cg.contributor.affiliation | Bioversity International and the International Center for Tropical Agriculture | en |
cg.contributor.affiliation | International Institute of Tropical Agriculture | en |
cg.contributor.affiliation | International Potato Center | en |
cg.contributor.donor | Bill & Melinda Gates Foundation | en |
cg.contributor.donor | CGIAR Trust Fund | en |
cg.contributor.initiative | Accelerated Breeding | |
cg.contributor.initiative | Nature-Positive Solutions | |
cg.creator.identifier | Jacob van Etten: 0000-0001-7554-2558 | |
cg.creator.identifier | Kauê de Sousa: 0000-0002-7571-7845 | |
cg.creator.identifier | Jill Cairns: 0000-0002-2735-3485 | |
cg.creator.identifier | Carlo Fadda: 0000-0003-3075-6207 | |
cg.creator.identifier | Anna Müller: 0000-0003-3120-8560 | |
cg.creator.identifier | Julian Ramirez-Villegas: 0000-0002-8044-583X | |
cg.creator.identifier | Béla Teeken: 0000-0002-3150-1532 | |
cg.identifier.doi | https://doi.org/10.1073/pnas.2205771120 | en |
cg.isijournal | ISI Journal | en |
cg.issn | 0027-8424 | en |
cg.issue | 14 | en |
cg.journal | Proceedings of the National Academy of Sciences of the United States of America | en |
cg.reviewStatus | Peer Review | en |
cg.subject.actionArea | Genetic Innovation | |
cg.subject.actionArea | Systems Transformation | |
cg.subject.alliancebiovciat | AGRICULTURE | en |
cg.subject.impactArea | Climate adaptation and mitigation | |
cg.subject.impactArea | Gender equality, youth and social inclusion | |
cg.subject.impactArea | Nutrition, health and food security | |
cg.subject.impactArea | Poverty reduction, livelihoods and jobs | |
cg.subject.sdg | SDG 1 - No poverty | en |
cg.volume | 120 | en |
dc.contributor.author | Etten, Jacob van | en |
dc.contributor.author | Sousa, Kauê de | en |
dc.contributor.author | Cairns, Jill E. | en |
dc.contributor.author | Dell’Acqua, Matteo | en |
dc.contributor.author | Fadda, Carlo | en |
dc.contributor.author | Güereña, David T. | en |
dc.contributor.author | Heerwaarden, Joost van | en |
dc.contributor.author | Assefa, Teshale | en |
dc.contributor.author | Manners, Rhys | en |
dc.contributor.author | Müller, Anna | en |
dc.contributor.author | Pè, Mario Enrico | en |
dc.contributor.author | Polar, Vivian | en |
dc.contributor.author | Ramírez Villegas, Julián Armando | en |
dc.contributor.author | Solberg, Svein Øivind | en |
dc.contributor.author | Teeken, Béla | en |
dc.contributor.author | Tufan, Hale Ann | en |
dc.date.accessioned | 2023-03-29T13:48:31Z | en |
dc.date.available | 2023-03-29T13:48:31Z | en |
dc.identifier.uri | https://hdl.handle.net/10568/129798 | |
dc.title | Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products | en |
dcterms.abstract | This 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.accessRights | Open Access | |
dcterms.audience | Scientists | en |
dcterms.available | 2023-03-27 | |
dcterms.bibliographicCitation | van 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: 0027-8424 | en |
dcterms.extent | 10 p. | en |
dcterms.issued | 2023-04-04 | |
dcterms.language | en | |
dcterms.license | CC-BY-4.0 | |
dcterms.publisher | Naturaal Academy of Science | en |
dcterms.subject | gene banks-genebanks | en |
dcterms.subject | plant breeding | en |
dcterms.subject | gender | en |
dcterms.subject | genotypes | en |
dcterms.subject | socioeconomic aspects | en |
dcterms.type | Journal Article |
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