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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 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.
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Journal
Proceedings of the National Academy of Sciences of the United States of America
Journal volume
120
Journal issue
14
Article number
Place of Publication
Washington, DC (USA)
Publisher
National Academy of Sciences
Related Datasets
CGIAR Initiatives
Initiative
Accelerated Breeding
Impact Area
Climate adaptation & mitigation
Gender equality, youth & social inclusion
Poverty reduction, livelihoods & jobs
Nutrition, health & food security
Gender equality, youth & social inclusion
Poverty reduction, livelihoods & jobs
Nutrition, health & food security
Action Area
Genetic Innovation
Systems Transformation
Systems Transformation
Donor or Funder
Bill & Melinda Gates Foundation (BMGF)