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Ewert, F., van Bussel, L. G. J., Zhao, G., Hoffmann, H., Gaiser, T., Specka, X., et al. (2015). Uncertainties in Scaling up Crop Models for Large Area Climate-change Impact Assessments. In C. Rosenzweig, & D. Hillel (Eds.), (pp. 261–277). Handbook of Climate Change and Agroecosystems: The Agricultural Model Intercomparison and Improvement Project (AgMIP) Integrated Crop and Economic Assessments — Joint Publication with American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America (In 2 Parts), ICP Series on Climate Change Impacts, Adaptation, . London: Imperial College Press.
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Ewert, F., & Rötter, R. (2013). State of Affairs in CropM..
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Ewert, F., Hoffmann, H., & WP3 partners. (2015). Scaling up crop models for large area application.. Minneapolis (U.S.A.).
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Dumont, B., Leemans, V., Ferrandis Vallterra, S., Vancutsem, F., Seutin, B., Bodson, B., et al. (2012). Assessing the potential of an algorithm based on mean climatic data to predict wheat yield..
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Dumont, B., Ferrandis, V., S., Leemans, V., Bodson, B., Destain, J. - P., & Destain, M. - F. (2012). Vers un système de prédiction du rendement en temps réel..
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