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Martre, P.; Wallach, D.; Asseng, S.; Ewert, F.; Jones, J.W.; Rötter, R.P.; Boote, K.J.; Ruane, A.C.; Thorburn, P.J.; Cammarano, D.; Hatfield, J.L.; Rosenzweig, C.; Aggarwal, P.K.; Angulo, C.; Basso, B.; Bertuzzi, P.; Biernath, C.; Brisson, N.; Challinor, A.J.; Doltra, J.; Gayler, S.; Goldberg, R.; Grant, R.F.; Heng, L.; Hooker, J.; Hunt, L.A.; Ingwersen, J.; Izaurralde, R.C.; Kersebaum, K.C.; Müller, C.; Kumar, S.N.; Nendel, C.; O’Leary, G.; Olesen, J.E.; Osborne, T.M.; Palosuo, T.; Priesack, E.; Ripoche, D.; Semenov, M.A.; Shcherbak, I.; Steduto, P.; Stöckle, C.O.; Stratonovitch, P.; Streck, T.; Supit, I.; Tao, F.; Travasso, M.; Waha, K.; White, J.W.; Wolf, J. Multimodel ensembles of wheat growth: many models are better than one 2015 Global Change Biology 21 911-925 details   doi
Bellocchi, G.; Rivington, M.; Matthews, K.; Acutis, M. Deliberative processes for comprehensive evaluation of agroecological models. A review 2015 Agronomy for Sustainable Development 35 589-605 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
Dumont, B.; Leemans, V.; Ferrandis, S.; Bodson, B.; Destain, J.-P.; Destain, M.-F. Assessing the potential of an algorithm based on mean climatic data to predict wheat yield 2014 Precision Agriculture 15 255-272 details   doi
Himanen, S.J.; Ketoja, E.; Hakala, K.; Rötter, R.P.; Salo, T.; Kahiluoto, H. Cultivar diversity has great potential to increase yield for feed barley 2013 Agronomy for Sustainable Development 33 519-530 details   doi
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