2015
Implementing and vetting genomic selection in soybeans
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
GeneticsGenomics
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Aaron Lorenz, University of Nebraska
Co-Principal Investigators:
George Graef, University of Nebraska
Project Code:
1711
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

Genomic prediction and selection will be put into practice in the University of Nebraskas Soybean Breeding Program. It will be thoroughly compared to phenotypic selection to assess its true potential for increasing rate of genetic gain for grain yield.

Unique Keywords:
#breeding & genetics
Information And Results
Project Deliverables

1. Methods to reduce costs and improve turn-around time in soybean breeding.
2. Models for enhancing prediction accuracy

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.