Crop variety management for climate adaptation supported by citizen science

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dc.creatorEtten, Jacob van
dc.creatorSousa, K. de
dc.creatorAguillar, A.
dc.creatorBarrios, M.
dc.creatorCoto, A.
dc.creatorDell'Acqua, M.
dc.creatorFadda, Carlo
dc.creatorGebrehawaryat, Y.
dc.creatorGevel, Jeske M.J, van de
dc.creatorGupta, A.
dc.creatorKiros, A.Y.
dc.creatorMadriz, Brandon
dc.creatorMathur, P.
dc.creatorMengistu, D.K.
dc.creatorMercado, L.
dc.creatorMohammed, J.N.
dc.creatorPaliwal, A.
dc.creatorPè, M.E.
dc.creatorQuirós, C.F.
dc.creatorRosas, J.C.
dc.creatorSharma, N.
dc.creatorSingh, S.S.
dc.creatorSolanki, I.S.
dc.creatorSteinke, J.
dc.date2019-03-05
dc.date2019-02-20T10:39:21Z
dc.date2019-02-20T10:39:21Z
dc.date.accessioned2026-06-27T18:01:46Z
dc.descriptionCrop 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.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/99504
dc.identifier.urihttp://hdl.handle.net/123456789/152874
dc.languageen
dc.publisherNational Academy of Sciences
dc.rightsOpen Access
dc.sourcevan Etten, J.; de Sousa, K.; Aguillar, A.; Barrios, M.; Coto, A.; Dell’acqua, M.; Fadda, C.; Gebrehawaryat, Y.; van de Gevel, J.; Gupta, A.; Kiros, A.Y.; Madriz, B.; Mathur, P.; Mengistu, D.K.; Mercado, L.; Mohammed, J.N.; Paliwal, A.; Pe`, M.E.; Quiros, C.F.; Rosas, J.C.; Sharma, N.; Singh, S.S.; Solanki, I.S.; Steinke, J. (2019). Crop variety management for climate adaptation supported by citizen science. Proceedings of the National Academy of Science 116(10) p. 4194-4199. ISSN: 0027-8424
dc.subjectcrops
dc.subjectclimate change
dc.subjectclimate change adaptation
dc.subjectfarmers
dc.subjectfarmer participation
dc.subjectcitizen participation
dc.subjectvariety
dc.subjectvariety trials
dc.subjectexperimentation
dc.subjecttrial methods
dc.titleCrop variety management for climate adaptation supported by citizen science
dc.typeJournal Article

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