September 12, 2016 (Source: UF/IFAS) - Researchers with the University of Florida Institute of Food and Agricultural Sciences are closer to helping producers better meet global food demand, now that they’ve combined simulation and statistical methods to help them predict how temperature affects wheat crops worldwide. A global team of scientists, led by those at UF/IFAS, used two different simulation methods and one statistical method to predict the impact of rising temperatures on global wheat production, and all came to similar estimates. This finding, published in a study in the journal Nature Climate Change, is critical in predicting how much wheat and other crops we’ll need to feed the world, said Senthold Asseng, a UF/IFAS professor of agricultural and biological engineering and leader of this study.
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UF/IFAS Study: Global Food Security Aided by Combining Different Methods
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