Evaluating the impact of climate change factors, especially temperature and carbon dioxide (CO), on rice yield is essential to ensure future food security. Because of the wide biogeographical distribution of rice, such evaluations are conducted exclusively through modeling efforts. However, geographical forecasts could, potentially, be improved by the inclusion of field-based data on projected increases in temperature and CO concentration from a given rice-growing region.
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