2009
Validation trial: Yield loss prediction model for Asian Soybean Rust
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
Crop protectionDiseaseField management
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Saratha Kumudini, University of Kentucky
Co-Principal Investigators:
Jim Board, Louisiana State University
Raymond Schneider, Louisiana State University
+1 More
Project Code:
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

The goal of this project is to validate the model of soybean yield loss due to Asian soybean rust. This would give us confidence of the applicability of this model in a range of production systems and give us an understanding of the accuracy of prediction. A soybean yield loss prediction model for Asian soybean rust is being developed in Lexington, KY and Baton Rouge, LA. The model being developed requires estimation of damage caused by the disease to both healthy leaf area and photosynthetic capacity. This model is being developed by mimicking the disease in the soybean canopy and relating effective leaf area duration to seed yield. In order to validate the model being developed we need...

Unique Keywords:
#asian soybean rust (asr), #soybean diseases, #soybean modeling
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.