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Ewert, F.; Rötter, R.P.; Bindi, M.; Webber, H.; Trnka, M.; Kersebaum, K.C.; Olesen, J.E.; van Ittersum, M.K.; Janssen, S.; Rivington, M.; Semenov, M.A.; Wallach, D.; Porter, J.R.; Stewart, D.; Verhagen, J.; Gaiser, T.; Palosuo, T.; Tao, F.; Nendel, C.; Roggero, P.P.; Bartošová, L.; Asseng, S. Crop modelling for integrated assessment of risk to food production from climate change 2015 Environmental Modelling & Software 72 287-303 details   doi
Sanna, M.; Bellocchi, G.; Fumagalli, M.; Acutis, M. A new method for analysing the interrelationship between performance indicators with an application to agrometeorological models 2015 Environmental Modelling & Software 73 286-304 details   doi
Van Oijen, M.; Höglind, M. Toward a Bayesian procedure for using process-based models in plant breeding, with application to ideotype design 2016 Euphytica 207 627-643 details   doi
Schönhart, M.; Schauppenlehner, T.; Kuttner, M.; Kirchner, M.; Schmid, E. Climate change impacts on farm production, landscape appearance, and the environment: Policy scenario results from an integrated field-farm-landscape model in Austria 2016 Agricultural Systems 145 39-50 details   doi
Jägermeyr, J.; Gerten, D.; Schaphoff, S.; Heinke, J.; Lucht, W.; Rockström, J. Integrated crop water management might sustainably halve the global food gap 2016 Environmental Research Letters 11 025002 details   doi
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