Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products
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Title |
Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products
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Creator |
Etten, Jacob van
Sousa, Kauê de Cairns, Jill E. Dell’Acqua, Matteo Fadda, Carlo Güereña, David T. Heerwaarden, Joost van Assefa, Teshale Manners, Rhys Müller, Anna Pè, Mario Enrico Polar, Vivian Ramírez Villegas, Julián Solberg, Svein Øivind Teeken, Béla Tufan, Hale Ann |
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Subject |
gene banks-genebanks
plant breeding gender genotypes socioeconomic aspects |
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Description |
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. |
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Date |
2023-04-04
2023-03-29T13:48:31Z 2023-03-29T13:48:31Z |
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Type |
Journal Article
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Identifier |
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
0027-8424 https://hdl.handle.net/10568/129798 https://doi.org/10.1073/pnas.2205771120 |
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Language |
en
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Rights |
CC-BY-4.0
Open Access |
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Format |
10 p.
application/pdf |
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Publisher |
Naturaal Academy of Science
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Source |
PNAS
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