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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
Makowski, D. A simple Bayesian method for adjusting ensemble of crop model outputs to yield observations 2017 European Journal of Agronomy 88 76-83 details   doi
Yin, X.; Olesen, J.E.; Wang, M.; Kersebaum, K.-C.; Chen, H.; Baby, S.; Öztürk, I.; Chen, F. Adapting maize production to drought in the Northeast Farming Region of China 2016 European Journal of Agronomy 77 47-58 details   doi
Kuhnert, M.; Yeluripati, J.; Smith, P.; Hoffmann, H.; van Oijen, M.; Constantin, J.; Coucheney, E.; Dechow, R.; Eckersten, H.; Gaiser, T.; Grosz, B.; Haas, E.; Kersebaum, K.-C.; Kiese, R.; Klatt, S.; Lewan, E.; Nendel, C.; Raynal, H.; Sosa, C.; Specka, X.; Teixeira, E.; Wang, E.; Weihermüller, L.; Zhao, G.; Zhao, Z.; Ogle, S.; Ewert, F. Impact analysis of climate data aggregation at different spatial scales on simulated net primary productivity for croplands 2016 European Journal of Agronomy 88 41-52 details   doi
Wallach, D.; Nissanka, S.P.; Karunaratne, A.S.; Weerakoon, W.M.W.; Thorburn, P.J.; Boote, K.J.; Jones, J.W. Accounting for both parameter and model structure uncertainty in crop model predictions of phenology: A case study on rice 2016 European Journal of Agronomy details   doi
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