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Sándor, R.; Ma, S.; Acutis, M.; Barcza, Z.; Ben Touhami, H.; Doro, L.; Hidy, D.; Köchy, M.; Lellei-Kovács, E.; Minet, J.; Perego, A.; Rolinski, S.; Ruget, F.; Seddaiu, G.; Wu, L.; Bellocchi, G. Uncertainty in simulating biomass yield and carbon–water fluxes from grasslands under climate change 2015 Advances in Animal Biosciences 6 49-51 details   doi
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
Martre, P.; He, J.; Le Gouis, J.; Semenov, M.A. In silico system analysis of physiological traits determining grain yield and protein concentration for wheat as influenced by climate and crop management 2015 Journal of Experimental Botany 66 3581-3598 details   doi
Kraus, D.; Weller, S.; Klatt, S.; Haas, E.; Wassmann, R.; Kiese, R.; Butterbach-Bahl, K. A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems 2015 Plant and Soil 386 125-149 details   doi
Dumont, B.; Leemans, V.; Mansouri, M.; Bodson, B.; Destain, J.-P.; Destain, M.-F. Parameter identification of the STICS crop model, using an accelerated formal MCMC approach 2014 Environmental Modelling & Software 52 121-135 details   doi
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