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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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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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Tao, F., Rötter, R. P., Palosuo, T., Hernández, C. G., Mínguez, M. I., Semenov, M., et al. (2016). Using crop model ensembles to design future climate-resilient barley cultivars.. Berlin (Germany).
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Yin, X., Kersebaum, K. C., Kollas, C., Armas-Herrera, C. M., Baby, S., Beaudoin, N., et al. (2016). Uncertainty in simulating N uptakes, N leaching and N use efficiency in crop rotation systems across Europe.. Berlin (Germany).
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Coucheney, E., Eckersten, H., Jansson, P. E., Ewert, F., Gaiser, T., Hoffmann, H., et al. (2016). The role of spatial patterns of soil types for data aggregation effects in crop modelling.. Berlin (Germany).
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