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Figure 3

From: Uncovering the environmental conditions required for Phyllachora maydis infection and tar spot development on corn in the United States for use as predictive models for future epidemics

Figure 3

Logistic regression models developed for predicting the development of tar spot caused by Phyllachora maydis. These models predict the risk probability (%) of tar spot developing in relationship with (A) 30-day moving average of daily minimum ambient temperature (°C), (B) 30-day moving average of daily mean ambient temperature (°C), or (C) 21-day moving average of daily minimum dew point (°C).

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