2009
Establishing a forecasting system for white mold
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
Crop protectionDiseaseField management
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Jianjun Hao, Michigan State University
Co-Principal Investigators:
Willie Kirk, Michigan State University
Mark Trent, Michigan State University
+1 More
Project Code:
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

Control of white mold in soybean is difficult as the pathogen produces sclerolia, which can survive in the soil for more than seven years. Since the occurrence of white mold is erratic depending on environmental factors with the detection of infection frequently too late for fungicide application, fungicide sprays are often not effective or economical to apply. To avoid unnecessary, costly fungicide applications, the feasibility of a white mold occurrence forecasting model is being researched.

Any existing white mold forecasting models are, generally, not applicable do to varying climatic conditions. Initial efforts include adopting existing models to fit soybean production in Michigan,...

Unique Keywords:
#soybean diseases
Information And Results
Project Deliverables

Final Project Results

The United Soybean Research Retention policy will display final reports with the project once completed but working files will be purged after three years. And financial information after seven years. All pertinent information is in the final report or if you want more information, please contact the project lead at your state soybean organization or principal investigator listed on the project.