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  Author Title Year Publication Volume Pages Links
Bannink, A.; van Lingen, H.J.; Ellis, J.L.; France, J.; Dijkstra, J. The contribution of mathematical modeling to understanding dynamic aspects of rumen metabolism 2016 Frontiers in Microbiology 7 1820 details   doi
Wallach, D.; Mearns, L.O.; Ruane, A.C.; Rötter, R.P.; Asseng, S. Lessons from climate modeling on the design and use of ensembles for crop modeling 2016 Climatic Change 139 551-564 details   doi
Gabaldón-Leal, C.; Webber, H.; Otegui, M.E.; Slafer, G.A.; Ordonez, R.A.; Gaiser, T.; Lorite, I.J.; Ruiz-Ramos, M.; Ewert, F. Modelling the impact of heat stress on maize yield formation 2016 Field Crops Research 198 226-237 details   doi
von Lampe, M.; Willenbockel, D.; Ahammad, H.; Blanc, E.; Cai, Y.; Calvin, K.; Fujimori, S.; Hasegawa, T.; Havlik, P.; Heyhoe, E.; Kyle, P.; Lotze-Campen, H.; Mason, d’C., Daniel; Nelson, G.C.; Sands, R.D.; Schmitz, C.; Tabeau, A.; Valin, H.; van der Mensbrugghe, D.; van Meijl, H. Why do global long-term scenarios for agriculture differ? An overview of the AgMIP Global Economic Model Intercomparison 2014 Agricultural Economics 45 3-3 details   doi
Waha, K.; Müller, C.; Bondeau, A.; Dietrich, J.P.; Kurukulasuriya, P.; Heinke, J.; Lotze-Campen, H. Adaptation to climate change through the choice of cropping system and sowing date in sub-Saharan Africa 2013 Global Environmental Change 23 130-143 details   doi
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