The uncertainty of crop yield projections is reduced by improved temperature response functions
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en
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Peer Review
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Wang, Enli; Martre, Pierre; Zhao, Zhigan; Ewert, Frank; Maiorano, Andrea; et al. 2017. The uncertainty of crop yield projections is reduced by improved temperature response functions. Nature Plants 3(2017): 17102. http://dx.doi.org/10.1038/nplants.2017.102
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Abstract/Description
Author ORCID identifiers
Matthew Paul Reynolds https://orcid.org/0000-0002-4291-4316
Pramod Aggarwal https://orcid.org/0000-0002-1060-7602
Pramod Aggarwal https://orcid.org/0000-0002-1060-7602
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Organizations Affiliated to the Authors
Commonwealth Scientific and Industrial Research Organisation, Australia; Institut Agro Montpellier; China Agricultural University; University of Bonn; Leibniz Centre for Agricultural Landscape Research, Germany; University of Goettingen; United States Department of Agriculture; University of Arizona; International Maize and Wheat Improvement Center; Washington State University; Michigan State University; Institute of Biochemical Plant Pathology; University of Florida; University of Leeds; European Food Safety Authority; Cantabrian Agricultural Research and Training Centre; Instituto de Agricultura Sostenible; University of Hohenheim; University of Guelph; University of Maryland; Texas A&M University; Aarhus University; Nanjing Agricultural University; Potsdam Institute for Climate Impact Research; Indian Agricultural Research Institute; Government of Australia; Natural Resources Institute, Finland; Institute for Agriculture, Food, and the Environment, France; National Aeronautics and Space Administration; Rothamsted Research; Wageningen University & Research; Chinese Academy of Sciences
Investors/sponsors
Commonwealth Scientific and Industrial Research Organisation, Australia; Chinese Academy of Sciences; European Union; French National Institute for Agricultural Research; CGIAR Trust Fund; United States Department of Agriculture; Federal Ministry of Education and Research, Germany; Ministry of Economic Cooperation and Development, Germany; Danish Strategic Research Council; Federal Ministry of Food and Agriculture, Germany; Ministry of Agriculture and Forestry, Finland; National Natural Science Foundation of China; Government of Australia; Texas A&M University