Database Research Summaries2018 MI Improving white mold management: epidemiology, fungicide timing and plant resistance
The focus of this project is to improve knowledge of the timing for apothecia development and ascospores release in order to develop a predictive model and to determine optimal timing of fungicide application.
- Determine the relationship between the apothecia germination and ascospores release and environmental variables (temperature and leaf wetness duration).
- Develop a weather-based predictive model to improve soybean white mold understanding, forecasting and management.
- Evaluate foliar fungicide and biological products and application timing for improved white mold management.
- Screen soybean germplasm for white mold resistance.
- Provide white mold management education to growers and CCA’s.
- During 2018 the industry was informed about the Sporecaster app that predicts scelrotinia apothecia development. It is hopeful that it will assist with the timing and application of fungicides for white mold management.
- There’s been active participating in multistate IPM white mold management trials including: trials to examine the use of germplasm resistance, fungicide timing, row spacing and populations. Multistate trials also include studies to evaluate fungicide products for efficacy tables that we release annually.
- Wilbur Ellis employees were pleased with the implementation of cobra and fungicide applications for white mold management.
This information will help farmers know the appropriate time to apply fungicide application.
For more information about this research project, please visit the National Soybean Checkoff Research Database.
Funded in part by the soybean checkoff.