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Asseng, S., Cammarano, D., Basso, B., Chung, U., Alderman, P. D., Sonder, K., et al. (2017). Hot spots of wheat yield decline with rising temperatures. Glob Change Biol, 23(6), 2464–2472.
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Bao, Y., Hoogenboom, G., McClendon, R., & Vellidis, G. (2017). A comparison of the performance of the CSM-CERES-Maize and EPIC models using maize variety trial data. Agricultural Systems, 150, 109–119.
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Boote, J. K., Rybak, M. R., Scholberg, J. M. S., & Jones, J. W. (2012). Improving the CROPGRO-Tomato Model for Predicting Growth and Yield Response to Temperature. HortScience, 47(8), 1038–1049.
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Delphin, S., Escobedo, F. J., Abd-Elrahman, A., & Cropper, W. P. (2016). Urbanization as a land use change driver of forest ecosystem services. Land Use Policy, 54, 188–199.
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Elliott, J., Glotter, M., Best, N., Boote, K., Jones, J. W., Hatfield, J., et al. (2013). Predicting agricultural impacts of large-scale drought: 2012 and the case for better modeling.
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Fleisher, D. H., Condori, B., Quiroz, R., Alva, A., Asseng, S., Barreda, C., et al. (2017). A potato model intercomparison across varying climates and productivity levels. Glob Change Biol, 23(3), 1258–1281.
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He, W., Yang, J. Y., Drury, C. F., Smith, W. N., Grant, B. B., He, P., et al. (2018). Estimating the impacts of climate change on crop yields and N 2 O emissions for conventional and no-tillage in Southwestern Ontario, Canada. Agricultural Systems, 159, 187–198.
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Heinemann, A. B., Maia, A. D., Dourado-Neto, D., Ingram, K. T., & Hoogenboom, C. (2006). Soybean (Glycine max (L.) Merr.) growth and development response to CO2 enrichment under different temperature regimes. European Journal of Agronomy, , 52–61.
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Hoffmann, H., Zhao, G., van Bussel, L., Enders, A., Specka, X., Sosa, C., et al. (2015). Variability of effects of spatial climate data aggregation on regional yield simulation by crop models. Clim. Res., 65, 53–69.
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Hoffmann, M. P., Haakana, M., Asseng, S., Höhn, J. G., Palosuo, T., Ruiz-Ramos, M., et al. (2018). How does inter-annual variability of attainable yield affect the magnitude of yield gaps for wheat and maize? An analysis at ten sites. Agricultural Systems, 159, 199–208.
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Keener, V. W., Ingram, K. T., Jacobson, B., & Jones, J. W. (2007). Effects of El Nino/Southern Oscillation on simulated phosphorus loading in south Florida. Transactions of the Asabe, , 2081–2089.
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Kim, S. H., Kim, J., Walko, R., Myoung, B., Stack, D., & Kafatos, M. (2015). Climate Change Impacts on Maize-yield Potential in the Southwestern United States. In Procedia Environmental Sciences (Vol. 29, pp. 279–280).
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Lobell, D. B., & Asseng, S. (2017). Comparing estimates of climate change impacts from process-based and statistical crop models. Environmental Research Letters, 12(1).
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Loison, R., Audebert, A., Debaeke, P., Hoogenboom, G., Leroux, L., Oumarou, P., et al. (2017). Designing cotton ideotypes for the future: Reducing risk of crop failure for low input rainfed conditions in Northern Cameroon. European Journal of Agronomy, 90, 162–173.
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Makowski, D., Asseng, S., Ewert, F., Bassu, S., Durand, J. L., Li, T., et al. (2015). A statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration. Agricultural and Forest Meteorology, 214-215, 483–493.
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Pathak, T. B., Jones, J. W., & Fraisse, C. W. (2012). Cotton yield forecasting for the southeastern United States using climate indices. Applied Engr. in Agriculture, 28(5), 711–723.
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Peña-Lévano, L. M., Taheripour, F., & Tyner, W. E. (2019). Climate Change Interactions with Agriculture, Forestry Sequestration, and Food Security. Environ Resource Econ, 74(2), 653–675.
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Pirttioja, N., Carter, T., Fronzek, S., Bindi, M., Hoffmann, H., Palosuo, T., et al. (2015). Temperature and precipitation effects on wheat yield across a European transect: a crop model ensemble analysis using impact response surfaces. Clim. Res., 65, 87–105.
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Royce, F. S., Jones, J. W., & Hansen, J. W. (2001). Model-based optimization of crop management for climate forecast applications. Transactions of the ASAE, 44, 1319–1327.
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Shelia, V., Hansen, J., Sharda, V., Porter, C., Aggarwal, P., Wilkerson, C. J., et al. (2019). A multi-scale and multi-model gridded framework for forecasting crop production, risk analysis, and climate change impact studies. Environmental Modelling & Software, 115, 144–154.
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