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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
Kipling, R.P.; Topp, C.F.E.; Bannink, A.; Bartley, D.J.; Blanco-Penedo, I.; Cortignani, R.; del Prado, A.; Dono, G.; Faverdin, P.; Graux, A.-I.; Hutchings, N.J.; Lauwers, L.; Gulzari, S.O.; Reidsma, P.; Rolinski, S.; Ruiz-Ramos, M.; Sandars, D.L.; Sandor, R.; Schoenhart, M.; Seddaiu, G.; van Middelkoop, J.; Shrestha, S.; Weindl, I.; Eory, V. To what extent is climate change adaptation a novel challenge for agricultural modellers 2019 Environmental Modelling & Software 120 Unsp 104492 details   doi
De Swaef, T.; Bellocchi, G.; Aper, J.; Lootens, P.; Roldan-Ruiz, I. Use of identifiability analysis in designing phenotyping experiments for modelling forage production and quality 2019 Journal of Experimental Botany 70 2587-2604 details   doi
Rötter, R.P.; Tao, F.; Höhn, J.G.; Palosuo, T. Use of crop simulation modelling to aid ideotype design of future cereal cultivars 2015 Journal of Experimental Botany 66 3463-3476 details   doi
Eyshi Rezaei, E.; Webber, H.; Gaiser, T.; Naab, J.; Ewert, F. Heat stress in cereals: Mechanisms and modelling 2015 European Journal of Agronomy 64 98-113 details   doi
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