Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products
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 an...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Naturaal Academy of Science
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/129798 |
| _version_ | 1855539430915309568 |
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| author | 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 Armando Solberg, Svein Øivind Teeken, Béla Tufan, Hale Ann |
| author_browse | Assefa, Teshale Cairns, Jill E. Dell’Acqua, Matteo Etten, Jacob van Fadda, Carlo Güereña, David T. Heerwaarden, Joost van Manners, Rhys Müller, Anna Polar, Vivian Pè, Mario Enrico Ramírez Villegas, Julián Armando Solberg, Svein Øivind Sousa, Kauê de Teeken, Béla Tufan, Hale Ann |
| author_facet | 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 Armando Solberg, Svein Øivind Teeken, Béla Tufan, Hale Ann |
| author_sort | Etten, Jacob van |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| 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. |
| format | Journal Article |
| id | CGSpace129798 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Naturaal Academy of Science |
| publisherStr | Naturaal Academy of Science |
| record_format | dspace |
| spelling | CGSpace1297982025-11-11T19:06:00Z Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products 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 Armando Solberg, Svein Øivind Teeken, Béla Tufan, Hale Ann gene banks-genebanks plant breeding gender genotypes socioeconomic aspects 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. 2023-04-04 2023-03-29T13:48:31Z 2023-03-29T13:48:31Z Journal Article https://hdl.handle.net/10568/129798 en Open Access application/pdf Naturaal Academy of Science 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 |
| spellingShingle | gene banks-genebanks plant breeding gender genotypes socioeconomic aspects 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 Armando Solberg, Svein Øivind Teeken, Béla Tufan, Hale Ann Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products |
| title | Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products |
| title_full | Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products |
| title_fullStr | Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products |
| title_full_unstemmed | Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products |
| title_short | Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products |
| title_sort | data driven approaches can harness crop diversity to address heterogeneous needs for breeding products |
| topic | gene banks-genebanks plant breeding gender genotypes socioeconomic aspects |
| url | https://hdl.handle.net/10568/129798 |
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