PPFS-FR-T-7: Using Prediction Models to Manage Diseases in Fruit

Kimberly Leonberger, Evan Tate, Nicole Gauthier | Jan. 1, 2019 (Minor Revision)

Numerous plant diseases impact fruit crops throughout Kentucky. Factors such as plant growth stage, as well as rainfall, temperature, and other weather conditions, can be used to determine risk for plant disease. Prediction models are critical tools for growers, as they allow for protective management strategies to be deployed when disease risk is high. Use of these models can provide growers with cost savings, as unnecessary chemical applications are eliminated when risk of infection is low.