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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
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
Höglind, M.; Van Oijen, M.; Cameron, D.; Persson, T. Process-based simulation of growth and overwintering of grassland using the BASGRA model 2016 Ecological Modelling 335 1-15 details   doi
Korhonen, P.; Palosuo, T.; Persson, T.; Höglind, M.; Jego, G.; Van Oijen, M.; Gustavsson, A.-M.; Belanger, G.; Virkajärvi, P. Modelling grass yields in northern climates – a comparison of three growth models for timothy 2018 Field Crops Research 224 37-47 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
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