2016
Implementing and Vetting Genomic Selection in Soybean
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
GeneticsGenomics
Lead Principal Investigator:
George Graef, University of Nebraska
Co-Principal Investigators:
Project Code:
1711
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

Genomic prediction and selection will be put into practice in the UNL 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.
Sub-aims include 1) Develop in-house genotyping methods to reduce costs and improve turn-around time, and 2) Develop and test
models for enhancing prediction accuracy through modeling the interaction between environment and cultivar.

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

Because of high demand for soy products worldwide, higher yielding soybean cultivars would enhance
the profits of U.S. soybean producers. Genomic selection is a revolutionary breeding methodology
designed to fully exploit current high-throughput genotyping technologies, and holds promise to
dramatically increase rate of genetic gain for complex traits such as yield. The successful completion of
this study would fully test genomic selection in soybean and provide a giant step forward to actual
implementation of genomic selection in the UNL Soybean Breeding Program, leading to faster
development of higher yielding cultivars. Besides impacting the UNL program, results and methodology
would flow into the larger soybean breeding community, potentially impacting soybean breeding methods
nationwide.

Final Project Results

Updated April 18, 2018:

View uploaded report PDF file

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.