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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
Kipling, R.P.; Topp, C.F.E.; Bannink, A.; Bartley, D.J.; Blanco-Penedo, I.; Cortignani, R.; del Prado, A.; Dono, G.; Faverdin, P.; Graux, A.-I.; Hutchings, N.J.; Lauwers, L.; Gulzari, S.O.; Reidsma, P.; Rolinski, S.; Ruiz-Ramos, M.; Sandars, D.L.; Sandor, R.; Schoenhart, M.; Seddaiu, G.; van Middelkoop, J.; Shrestha, S.; Weindl, I.; Eory, V. To what extent is climate change adaptation a novel challenge for agricultural modellers 2019 Environmental Modelling & Software 120 Unsp 104492 details   doi
Conradt, T.; Wechsung, F.; Bronstert, A. Three perceptions of the evapotranspiration landscape: comparing spatial patterns from a distributed hydrological model, remotely sensed surface temperatures, and sub-basin water balances 2013 Hydrology and Earth System Sciences 17 2947-2966 details   doi
Refsgaard, J.C.; Arnbjerg-Nielsen, K.; Drews, M.; Halsnaes, K.; Jeppesen, E.; Madsen, H.; Markandya, A.; Olesen, J.E.; Porter, J.R.; Christensen, J.H. The role of uncertainty in climate change adaptation strategies – a Danish water management example 2013 Mitigation and Adaptation Strategies for Global Change 18 337-359 details   doi
Mandryk, M.; Reidsma, P.; Kanellopoulos, A.; Groot, J.C.J.; van Ittersum, M.K. The role of farmers’ objectives in current farm practices and adaptation preferences: a case study in Flevoland, the Netherlands 2014 Regional Environmental Change 14 1463-1478 details   doi
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