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Published on: April 12, 2019
Weather Variables Associated with Infection of Tomato Fruit by Colletotrichum coccodes
S Sanogo1, S P Pennypacker2, R E Stevenson3
1Former Graduate Research Assistant.
Tomato anthracnose disease incidence is significantly reduced by periods of dry weather. Specifically, the number of hours without rain during fruit exposure is the most critical factor in preventing infection by Colletotrichum coccodes.
Area of Science:
- Plant Pathology
- Agricultural Meteorology
- Mycology
Background:
- Tomato anthracnose, caused by Colletotrichum coccodes, is a significant fruit rot disease affecting tomato production.
- Understanding the environmental factors influencing disease development is crucial for effective disease management strategies.
Purpose of the Study:
- To investigate the relationship between tomato anthracnose incidence and various weather variables.
- To identify key meteorological factors that predict disease development in field conditions.
Main Methods:
- Field experiments were conducted using potted tomato plants exposed to natural conditions over 4-day intervals during the 1993 and 1994 growing seasons.
- Disease incidence was assessed and correlated with meteorological data, including rainfall amount, duration, and hours of no rainfall.
- Regression analysis was employed to determine the best predictive model for anthracnose incidence.
Main Results:
- Rainfall variables, particularly the duration of dry periods, showed a strong correlation with anthracnose incidence.
- The most significant predictor of disease incidence was the number of hours without rainfall (HNRo) within the 4-day exposure intervals.
- A regression equation incorporating HNRo explained 72% of the variation in transformed anthracnose incidence.
Conclusions:
- Periods of dry weather are critical in limiting the incidence of tomato anthracnose.
- The number of hours without rain is a key factor for predicting and potentially managing this disease.
- Findings provide valuable insights for developing weather-based disease forecasting and management strategies for tomato crops.
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