2009
A Minnesota early warning and management system for soybean rust
Category:
Sustainable Production
Keywords:
Crop protectionDiseaseField management
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
James Kurle, University of Minnesota
Co-Principal Investigators:
Dean Malvick, University of Minnesota
Project Code:
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

This project will complete the development of a Minnesota specific Soybean Rust Early Warning System. This model system being developed and validated will use localized rust spore detection, national scale climate data and local weather conditions. After the model is completed soybean rust disease risk forecasts will be made available in season to Minnesota soybean growers.

Unique Keywords:
#soybean diseases
Information And Results
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.