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US maize data reveals adaptation to heat and water stress:


  • Thomas, Timothy S.


Heat is a serious barrier to maize productivity increases, and heat is expected to rise as a result of climate change. Using county-level annual yields for rainfed maize for 2,616 US counties from 1980 to 2010, we conduct a multivariate, nonparametric yield response analysis to weather, maize price, and time trend to project climate impact on maize and to compare with climate projections from crop models. When we compare with climate impacts predicted by biophysical models, we find that our analysis tends to support the most pessimistic of the biophysical model projections for climate change. We also demonstrate that growth in maize yields in the United States between 1980 and 2010 was higher under high temperatures than under moderate temperatures, with yields growing 20.2 percent faster when the mean daily maximum temperature for the warmest month ranged from 34 to 35 degrees Celsius instead of 28 to 29 degrees. Similarly, we find that US maize has become more tolerant of lower rainfall levels, with yields growing 15.9 percent faster between 1980 and 2010 when rainfall is below 250 millimeters in the first four months of the growing period compared with when it is between 400 and 450 millimeters (the optimal amount of rainfall). This suggests that significant adaptation to current and future effects of climate change is already taking place for US maize.

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  • Thomas, Timothy S., 2015. "US maize data reveals adaptation to heat and water stress:," IFPRI discussion papers 1485, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:ifprid:1485

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    References listed on IDEAS

    1. You, Liangzhi & Wood, Stanley, 2006. "An entropy approach to spatial disaggregation of agricultural production," Agricultural Systems, Elsevier, vol. 90(1-3), pages 329-347, October.
    2. Ruiqing Miao & Madhu Khanna & Haixiao Huang, 2016. "Responsiveness of Crop Yield and Acreage to Prices and Climate," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(1), pages 191-211.
    3. Christoph Müller & Richard D. Robertson, 2014. "Projecting future crop productivity for global economic modeling," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 37-50, January.
    4. Nelson, Gerald C. & Rosegrant, Mark W. & Palazzo, Amanda & Gray, Ian & Ingersoll, Christina & Robertson, Richard & Tokgoz, Simla & Zhu, Tingju & Sulser, Timothy B. & Ringler, Claudia & Msangi, Siwa & , 2010. "Food security, farming, and climate change to 2050: Scenarios, results, policy options," Research reports Gerald C. Nelson, et al., International Food Policy Research Institute (IFPRI).
    5. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    6. Choi, Jung-Sup & Helmberger, Peter G., 1993. "How Sensitive Are Crop Yields To Price Changes And Farm Programs?," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 25(1), pages 1-8, July.
    7. Choi, Jung-Sup & Helmberger, Peter G., 1993. "How Sensitive are Crop Yields to Price Changes and Farm Programs?," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 25(01), pages 237-244, July.
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    maize; climate change; heat stress; water stress; productivity;

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