期刊
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
卷 116, 期 10, 页码 4194-4199出版社
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1813720116
关键词
climate adaptation; genotype x environment interactions; crop variety evaluation; citizen science; crowdsourcing
资金
- American people through the US Agency for International Development [AID-OAA-F-14-00035]
- McKnight Foundation [CCRP 16-098]
- German Federal Ministry for Economic Cooperation and Development [81194988]
- Indian Council of Agricultural Research Annual Workplan
- CGIAR Trust Fund
Crop adaptation to climate change requires accelerated crop variety introduction accompanied by recommendations to help farmers match the best variety with their field contexts. Existing approaches to generate these recommendations lack scalability and predictivity in marginal production environments. We tested if crowdsourced citizen science can address this challenge, producing empirical data across geographic space that, in aggregate, can characterize varietal climatic responses. We present the results of 12,409 farmer-managed experimental plots of common bean (Phaseolus vulgaris L.) in Nicaragua, durum wheat (Triticum durum Desf.) in Ethiopia, and bread wheat (Triticum aestivum L.) in India. Farmers collaborated as citizen scientists, each ranking the performance of three varieties randomly assigned from a larger set. We show that the approach can register known specific effects of climate variation on varietal performance. The prediction of variety performance from seasonal climatic variables was generalizable across growing seasons. We show that these analyses can improve variety recommendations in four aspects: reduction of climate bias, incorporation of seasonal climate forecasts, risk analysis, and geographic extrapolation. Variety recommendations derived from the citizen science trials led to important differences with previous recommendations.
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