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The performance of the best single-window models was comparable to that of the best multi-window models, with accuracy ranging from 0.81 to 0.83 for the former and 0.83 to 0.87 for the latter group of models. These results indicated that the risk of DON ≥ 1 ppm can be accurately predicted with relatively simple models built using temperature- and moisture-based predictors from a single window. These models will serve as the foundation for developing tools to predict the risk of DON contamination of maize grain.Avirulence of Eleusine iso
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