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Rötter, R.P.; Appiah, M.; Fichtler, E.; Kersebaum, K.C.; Trnka, M.; Hoffmann, M.P. Linking modelling and experimentation to better capture crop impacts of agroclimatic extremes-A review 2018 Field Crops Research 221 142-156 details   doi
von Lampe, M.; Willenbockel, D.; Ahammad, H.; Blanc, E.; Cai, Y.; Calvin, K.; Fujimori, S.; Hasegawa, T.; Havlik, P.; Heyhoe, E.; Kyle, P.; Lotze-Campen, H.; Mason, d’C., Daniel; Nelson, G.C.; Sands, R.D.; Schmitz, C.; Tabeau, A.; Valin, H.; van der Mensbrugghe, D.; van Meijl, H. Why do global long-term scenarios for agriculture differ? An overview of the AgMIP Global Economic Model Intercomparison 2014 Agricultural Economics 45 3-3 details   doi
Müller, C.; Robertson, R.D. Projecting future crop productivity for global economic modeling 2014 Agricultural Economics 45 37-50 details   doi
Sándor, R.; Barcza, Z.; Hidy, D.; Lellei-Kovács, E.; Ma, S.; Bellocchi, G. Modelling of grassland fluxes in Europe: evaluation of two biogeochemical models 2016 Agriculture, Ecosystems and Environment 215 1-19 details   doi
Tao, F.; Zhang, S.; Zhang, Z.; Rötter, R.P. Temporal and spatial changes of maize yield potentials and yield gaps in the past three decades in China 2015 Agriculture, Ecosystems and Environment 208 12-20 details   doi
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