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Using Prediction Models to Manage Diseases in Fruit

Using Prediction Models to Manage Diseases in Fruit

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

Authored by: Kimberly Leonberger Evan Tate Nicole Ward Gauthier

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Abstract

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.

Core Details

Publication ID

PPFS-FR-T-7

Status

Minor Revision

Publication Date

Jan. 1, 2019

Series

Multi-Part Series

N/A


Categorical Details

Language

English

Peer Reviewed?

Yes

Contact Information

Tawana Brown
Associate Director, Educational Publications

361 Blazer Dining 343 S. Martin Luther King Blvd. Lexington, KY 40526-0012

+1 (859) 257-7566

tawana.brown@uky.edu