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Robinson, S.; van Meijl, H.; Willenbockel, D.; Valin, H.; Fujimori, S.; Masui, T.; Sands, R.; Wise, M.; Calvin, K.; Havlik, P.; Mason d’Croz, D.; Tabeau, A.; Kavallari, A.; Schmitz, C.; Dietrich, J.P.; von Lampe, M. Comparing supply-side specifications in models of global agriculture and the food system 2014 Agricultural Economics 45 21-35 details   doi
Rötter, R.P.; Palosuo, T.; Kersebaum, K.C.; Angulo, C.; Bindi, M.; Ewert, F.; Ferrise, R.; Hlavinka, P.; Moriondo, M.; Nendel, C.; Olesen, J.E.; Patil, R.H.; Ruget, F.; Takác, J.; Trnka, M. Simulation of spring barley yield in different climatic zones of Northern and Central Europe: A comparison of nine crop models 2012 Field Crops Research 133 23-36 details   doi
Perego, A.; Giussani, A.; Sanna, M.; Fumagalli, M.; Carozzi, M.; Alfieri, L.; Brenna, S.; Acutis, M. The ARMOSA simulation crop model: overall features, calibration and validation results 2013 Italian Journal of Agrometeorology 3 23-38 details   openurl
Rötter, R.P.; Palosuo, T.; Kersebaum, K.-C.; Angulo, C.; Bindi, M.; Ewert, F.; Ferrise, R.; Hlavinka, P.; Moriondo, M.; Olesen, J.E.; Takáč, J.; Trnka, M. Simulation of spring barley yield in different climatic zones of Northern and Central Europe: A comparison of nine crop models 2012 Field Crops Research 133 23-36 details   doi
Zhang, S.; Tao, F.; Zhang, Z. Uncertainty from model structure is larger than that from model parameters in simulating rice phenology in China 2017 European Journal of Agronomy 87 30-39 details   doi
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