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Webber, H.; Martre, P.; Asseng, S.; Kimball, B.; White, J.; Ottman, M.; Wall, G.W.; De Sanctis, G.; Doltra, J.; Grant, R.; Kassie, B.; Maiorano, A.; Olesen, J.E.; Ripoche, D.; Rezaei, E.E.; Semenov, M.A.; Stratonovitch, P.; Ewert, F. Canopy temperature for simulation of heat stress in irrigated wheat in a semi-arid environment: A multi-model comparison 2017 Field Crops Research 202 21-35 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
Mansouri, M.; Dumont, B.; Leemans, V.; Destain, M.-F. Bayesian methods for predicting LAI and soil water content 2014 Precision Agriculture 15 184-201 details   doi
Persson, T.; Höglind, M.; Gustavsson, A.-M.; Halling, M.; Jauhiainen, L.; Niemeläinen, O.; Thorvaldsson, G.; Virkajärvi, P. Evaluation of the LINGRA timothy model under Nordic conditions 2014 Field Crops Research 161 87-97 details   doi
Webber, H.; Gaiser, T.; Oomen, R.; Teixeira, E.; Zhao, G.; Wallach, D.; Zimmermann, A.; Ewert, F. Uncertainty in future irrigation water demand and risk of crop failure for maize in Europe 2016 Environmental Research Letters details   openurl
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