Abstract:Sclerotinia stem rot (SSR) is a major disease of soybean across the Upper Midwest region of the United States. Management of this disease has relied on fungicide applications, yet due to the environmental conditions necessary for SSR to develop, many of these applications are unnecessary. To mitigate this, predictive models have been developed using localized weather data for predicting the formation of S. sclerotiorum apothecia, the inoculum source of SSR, and these models were integrated into a decision supp… Show more
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