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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
Virkajärvi, P.; Korhonen, P.; Bellocchi, G.; Curnel, Y.; Wu, L.; Jégo, G.; Persson, T.; Höglind, M.; Van Oijen, M.; Gustavsson, A.-M.; Kipling, R.P. Modelling responses of forages to climate change with a focus on nutritive value 2016 Advances in Animal Biosciences 7 227-228 details   doi
Van Oijen, M.; Cameron, D.; Levy, P.E.; Preston, R. Correcting errors from spatial upscaling of nonlinear greenhouse gas flux models 2017 Environmental Modelling & Software 94 157-165 details   doi
Hjelkrem, A.-G.R.; Höglind, M.; van Oijen, M.; Schellberg, J.; Gaiser, T.; Ewert, F. Sensitivity analysis and Bayesian calibration for testing robustness of the BASGRA model in different environments 2017 Ecological Modelling 359 80-91 details   doi
Kuhnert, M.; Yeluripati, J.; Smith, P.; Hoffmann, H.; van Oijen, M.; Constantin, J.; Coucheney, E.; Dechow, R.; Eckersten, H.; Gaiser, T.; Grosz, B.; Haas, E.; Kersebaum, K.-C.; Kiese, R.; Klatt, S.; Lewan, E.; Nendel, C.; Raynal, H.; Sosa, C.; Specka, X.; Teixeira, E.; Wang, E.; Weihermüller, L.; Zhao, G.; Zhao, Z.; Ogle, S.; Ewert, F. Impact analysis of climate data aggregation at different spatial scales on simulated net primary productivity for croplands 2016 European Journal of Agronomy 88 41-52 details   doi
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