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Müller, C.; Robertson, R.D. Projecting future crop productivity for global economic modeling 2014 Agricultural Economics 45 37-50 details   doi
Eitzinger, J.; Thaler, S.; Schmid, E.; Strauss, F.; Ferrise, R.; Moriondo, M.; Bindi, M.; Palosuo, T.; Rotter, R.; Kersebaum, K.C.; Olesen, J.E.; Patil, R.H.; Saylan, L.; Caldag, B.; Caylak, O. Sensitivities of crop models to extreme weather conditions during flowering period demonstrated for maize and winter wheat in Austria 2013 Journal of Agricultural Science 151 813-835 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
Tao, F.; Palosuo, T.; Roetter, R.P.; Hernandez Diaz-Ambrona, C.G.; Ines Minguez, M.; Semenov, M.A.; Kersebaum, K.C.; Cammarano, D.; Specka, X.; Nendel, C.; Srivastava, A.K.; Ewert, F.; Padovan, G.; Ferrise, R.; Martre, P.; Rodriguez, L.; Ruiz-Ramos, M.; Gaiser, T.; Hohn, J.G.; Salo, T.; Dibari, C.; Schulman, A.H. Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models 2020 Agricultural and Forest Meteorology 281 107851 details   doi
Schauberger, B.; Rolinski, S.; Müller, C. A network-based approach for semi-quantitative knowledge mining and its application to yield variability 2016 Environmental Research Letters 11 123001 details   doi
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