Combined simulation and statistical methods to predict how temperature affects wheat crops worldwide.

 

Photo credit: Science Daily

A global team of scientists, led by those at the University of Florida Institute of Food and Agricultural Sciences, 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.

Credit: UF/IFAS file

Global food security aided by combining different methods

Date:

September 12, 2016

Source:

University of Florida Institute of Food and Agricultural Sciences

Summary:

Researchers 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.

 

Read the full article: Science Daily