Jacob van Etten|Kauê de Sousa|Amílcar Aguilar|M. Barrios|A. Coto|Matteo Dell’Acqua|Carlo Fadda|Yosef Gebrehawaryat|Jeske van de Gevel|Arnab Gupta|Afewerki Y. Kiros|B. Madriz|P. Mathur|De?ene K. Mengistu|Leida Mercado|Jemal Mohammed|Ambica Paliwal|Mario Enrico Pè|Carlos F. Quirós|Juan Carlos Rosas|Neera? Sharma|Surendra Singh|I. Solanki|Jonathan Steinke
Crop variety management for climate adaptation supported by citizen science
Inland Norway University of Applied Sciences|Sant'Anna School of Advanced Studies|International Trachoma Initiative|International Trachoma Initiative|International Life Sciences Institute India|Mekelle University|International Life Sciences Institute India|International Trachoma Initiative|Mekelle University|Centro Agronomico Tropical de Investigacion y Ensenanza Catie|Mekelle University|International Life Sciences Institute India|Sant'Anna School of Advanced Studies|Zamorano Pan-American Agricultural School|International Life Sciences Institute India|Indian Institute of Wheat and Barley Research|Indian Agricultural Research Institute|Humboldt-Universität zu Berlin
crop adaptation climate change requires accelerated crop variety introduction accompanied recommendations help farmers match best variety field contexts existing approaches generate recommendations lack scalability predictivity marginal production environments tested crowdsourced citizen science address challenge producing empirical data across geographic space aggregate characterize varietal climatic responses present results 12409 farmermanaged experimental plots common bean phaseolus vulgaris l nicaragua durum wheat triticum durum desf ethiopia bread wheat triticum aestivum l india farmers collaborated citizen scientists ranking performance three varieties randomly assigned larger set show approach register known specific effects climate variation varietal performance prediction variety performance seasonal climatic variables generalizable across growing seasons show analyses improve variety recommendations four aspects reduction climate bias incorporation seasonal climate forecasts risk analysis geographic extrapolation variety recommendations derived citizen science trials led important differences previous recommendations