2014
Pre-mixes of fungicides and grower-advisory models for improved profitability of sprays on soybeans
Home
Contributor/Checkoff:
Virginia Soybean Board
Category:
Sustainable Production
Keywords:
Crop protectionDiseaseField management
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Pat Phipps, Virginia Tech
Co-Principal Investigators:
Project Code:
Contributing Organization (Checkoff):
Virginia Soybean Board
(n/a)
Institution Funded:
Virginia Tech
(n/a)
Brief Project Summary:

The first objective of the project is to compare new pre-mixes of fungicides and weather-based models for more efficient timing of fungicide applications in control of foliar diseases. The next objective is to monitor soybean sentinel plots, commercial fields for early detection of soybean rust and foliar diseases. The researchers will also assess the risk for yield loss due to premature defoliation caused by of Virginia soybeans.

Unique Keywords:
#soybean diseases
Information And Results
Project Deliverables

A statistically significant comparison between Raman and NIR secondary analysis of soybeans.
A New analytical capabilities as a result of more chemically specific instrumentation.
Outreach and Communication to stakeholders to bolster interest and awareness.

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.