Replication data for: "Crop variety management for climate adaptation supported by citizen science"https://doi.org/10.7910/DVN/4ICF6Wvan Etten, J.de Sousa, K.Aguilar, A.Barrios, M.Coto, A.Dell'Acqua, M.Fadda, C.Gebrehawaryat, Y.van de Gevel, J.Gupta, A.Kiros, A.Madriz, B.Mathur, P.Mengistu, D.Mercado, L.Mohammed, J.Paliwal, A.Pè, M.Quiros, C.Rosas, J.Sharma, N.Singh, S.Solanki, I.Steinke, J.Harvard Dataverse2018-07-272019-02-21T10:10:13ZFarmers were invited to collaborate as citizen science volunteers in the crowdsourcing approach "tricot" (triadic comparison of technologies). We organized tricot trials, testing 10 common bean varieties (Phaseolus vulgaris) in Nicaragua during five growing seasons, 62 durum wheat (Triticum durum) modern and farmer varieties in Ethiopia during three seasons and 21 bread wheat (Triticum aestivum) varieties in India during four seasons. Sets of three varieties (four in the case of Ethiopia) were allocated randomly to blocks, corresponding to one block. Farmers observed and reported the performance of the assigned varieties evaluating which one presented the best and worst performance. This dataset contain the trial data related to yield (Nicaragua and India), overall performance and overall performance of tested varieties against the local variety used by farmers (Nicaragua). We linked farmers' observations via their geographic coordinates and planting dates to obtain environmental variables derived from public databases with global coverage. The lists of the bean, durum and bread wheat varieties tested are also provided.Agricultural SciencesABIOTIC STRESSACCEPTABILITYAGROBIODIVERSITYCLIMATE CHANGECOMMON BEANCROP IMPROVEMENTFARMER PARTICIPATIONON-FARM RESEARCHPHASEOLUS VULGARISTRITICUM AESTIVUMTRITICUM DURUMWHEATEnglishvan Etten, J.; de Sousa, K.; Aguilar, A.; Barrios, M.; Coto, A.; Dell'Acqua, M.; Fadda, C.; Gebrehawaryat, Y.; van de Gevel, J.; Gupta, A.; Kiros, A.; Madriz, B.; Mathur, P.; Mengistu, D.; Mercado, L.; Mohammed, J.; Paliwal, A.; Pè, M.; Quiros, C.; Rosas, J.; Sharma, N.; Singh, S.; Solanki, I.; Steinke, J. (2019). Crop variety management for climate adaptation supported by citizen science.Proceedings of the National Academy of Sciences of the United States of America, February 19, 2019., https://doi.org/10.1073/pnas.1813720116Steinke, J.; van Etten, J.; Mejia Zelan, P. (2017) The accuracy of farmer-generated data in an agricultural citizen science methodology. Agronomy for Sustainable Development 37(32) ISSN: 1774-0746, http://hdl.handle.net/10568/83478Van Etten, J.; Beza, E.; Calderer, L.; Van Duijvebdijk, K.; Fadda, C.; Fantahun, B.; Kidane, Y.G.; Van de Gevel, J.; Gupta, A.; Mengistu, D.K.; Kiambi, D.; Mathur, P.N.; Mercado, L.; Mittra, S.; Mollel, M.J.; Rosas, J.C.; Steinke, J.; Suchini, J.G.; Zimmerer, K.S. (2016) First experiences with a novel farmer citizen science approach: crowdsourcing participatory variety selection through on-farm triadic comparisons of technologies (TRICOT). Experimental Agriculture, Online first paper (21DEC16). ISSN: 0014-4797, http://hdl.handle.net/10568/785702018-07-12Bioversity InternationalBioversity International2018-07-1220122017Crop/Field dataEthiopiaIndiaNicaragua<a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.