2013
VIPS: Mining VIPS data for crude protein correlations
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Contributor/Checkoff:
Illinois Soybean Association
Category:
Sustainable Production
Keywords:
GeneticsGenomicsSeed quality
Parent Project:
VIPS: Mining VIPS data for crude protein correlations
Lead Principal Investigator:
Marilyn Nash, University of Illinois-Carbondale
Co-Principal Investigators:
Project Code:
Contributing Organization (Checkoff):
Illinois Soybean Association
(n/a)
Institution Funded:
University of Illinois-Carbondale
(n/a)
Brief Project Summary:

This project would use the resources available from the VIPS database to determine varietal characteristics and growing conditions that affect levels of crude protein in soybeans. The project will also determine how removing the lower yielding varieties will increase the average yield of varieties that remain.

Unique Keywords:
#seed composition
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.