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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
Sándor, R.; Barcza, Z.; Hidy, D.; Lellei-Kovács, E.; Ma, S.; Bellocchi, G. Modelling of grassland fluxes in Europe: evaluation of two biogeochemical models 2016 Agriculture, Ecosystems and Environment 215 1-19 details   doi
Kipling, R.P.; Virkajärvi, P.; Breitsameter, L.; Curnel, Y.; De Swaef, T.; Gustavsson, A.-M.; Hennart, S.; Höglind, M.; Järvenranta, K.; Minet, J.; Nendel, C.; Persson, T.; Picon-Cochard, C.; Rolinski, S.; Sandars, D.L.; Scollan, N.D.; Sebek, L.; Seddaiu, G.; Topp, C.F.E.; Twardy, S.; Van Middelkoop, J.; Wu, L.; Bellocchi, G. Key challenges and priorities for modelling European grasslands under climate change 2016 Science of the Total Environment 566-567 851-864 details   doi
Eza, U.; Shtiliyanova, A.; Borras, D.; Bellocchi, G.; Carrère, P.; Martin, R. An open platform to assess vulnerabilities to climate change: An application to agricultural systems 2015 Ecological Informatics 30 389-396 details   doi
Ben Touhami, H.; Bellocchi, G. Bayesian calibration of the Pasture Simulation model (PaSim) to simulate European grasslands under water stress 2015 Ecological Informatics 30 356-364 details   doi
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