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Analysis of Fire Blight Shoot Infection Epidemics on Apple
Alan R Biggs1, William W Turechek2, Tim R Gottwald2
1West Virginia University, Kearneysville Tree Fruit Research and Education Center, Kearneysville.
Plant Disease
|February 17, 2019
Summary
Fire blight spread in apple orchards was studied across four cultivars over four years. Localized spread was evident, with disease patterns varying by cultivar, year, and orchard location.
Area of Science:
- Plant Pathology
- Agricultural Science
- Epidemiology
Background:
- Fire blight is a destructive bacterial disease affecting apple and pear trees.
- Understanding disease spread is crucial for effective management strategies.
- Cultivar susceptibility influences disease dynamics and spatial patterns.
Purpose of the Study:
- To investigate the incidence and spatial spread of fire blight's shoot blight phase in four apple cultivars.
- To evaluate the performance of disease prediction models and statistical distributions for analyzing disease spread.
- To identify factors influencing disease heterogeneity and spatial aggregation in apple orchards.
Main Methods:
- Field study over four years (1994-1997) with replicated blocks of four apple cultivars.
- Monitoring of shoot blight incidence and spatial distribution.
- Application of the Maryblyt model for prediction and logistic models for epidemic analysis.
- Statistical analysis using binomial and β-binomial distributions, binary power law, and ordinary runs analysis.
Main Results:
- 'York' cultivar showed high susceptibility, while 'Liberty' was least susceptible.
- The Maryblyt model predicted disease appearance within 48 hours in most years for 'York'.
- Disease spread analysis indicated localized patterns, with spatial aggregation observed, particularly at higher incidence levels.
- Orchard plot and year significantly impacted disease heterogeneity parameters.
Conclusions:
- Fire blight exhibits localized spread patterns in apple orchards, influenced by cultivar, year, and location.
- Statistical models like the β-binomial distribution and binary power law are effective for analyzing disease heterogeneity.
- Effective fire blight management requires considering spatial dynamics and cultivar-specific resistance.
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