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Salo, T.J.; Palosuo, T.; Kersebaum, K.C.; Nendel, C.; Angulo, C.; Ewert, F.; Bindi, M.; Calanca, P.; Klein, T.; Moriondo, M.; Ferrise, R.; Olesen, J.E.; Patil, R.H.; Ruget, F.; Takáč, J.; Hlavinka, P.; Trnka, M.; Rötter, R.P. Comparing the performance of 11 crop simulation models in predicting yield response to nitrogen fertilization 2016 Journal of Agricultural Science 154 1218-1240 details   doi
Conradt, T.; Gornott, C.; Wechsung, F. Extending and improving regionalized winter wheat and silage maize yield regression models for Germany: Enhancing the predictive skill by panel definition through cluster analysis 2016 Agricultural and Forest Meteorology 216 68-81 details   doi
van Bussel, L.G.J.; Ewert, F.; Zhao, G.; Hoffmann, H.; Enders, A.; Wallach, D.; Asseng, S.; Baigorria, G.A.; Basso, B.; Biernath, C.; Cammarano, D.; Chryssanthacopoulos, J.; Constantin, J.; Elliott, J.; Glotter, M.; Heinlein, F.; Kersebaum, K.-C.; Klein, C.; Nendel, C.; Priesack, E.; Raynal, H.; Romero, C.C.; Rötter, R.P.; Specka, X.; Tao, F. Spatial sampling of weather data for regional crop yield simulations 2016 Agricultural and Forest Meteorology 220 101-115 details   doi
Bojar, W.; Knopik, L.; Żarski, J.; Kuśmierek-Tomaszewska, R. Integrated assessment of crop productivity based on the food supply forecasting 2016 Agricultural Economics – Czech 61 502-510 details   url
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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