2016
Identifying high yield genotypes in the USDA soybean germplasm collection
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Contributor/Checkoff:
North Central Soybean Research Program
Category:
Sustainable Production
Keywords:
GeneticsGenomics
Parent Project:
Identifying high-yield genotypes in the USDA soybean germplasm collection
Lead Principal Investigator:
George Graef, University of Nebraska
Co-Principal Investigators:
Asheesh Singh, Iowa State University
William Schapaugh, Kansas State University
Brian Diers, University of Illinois at Urbana-Champaign
Randall Nelson, University of Illinois at Urbana-Champaign
Andrew Scaboo, University of Missouri
George Graef, University of Nebraska
Aaron Lorenz, University of Nebraska
Kent M Eskridge, University of Nebraska at Lincoln
+7 More
Project Code:
Contributing Organization (Checkoff):
North Central Soybean Research Program
(n/a)
Institution Funded:
University of Nebraska at Lincoln
(n/a)
Brief Project Summary:

The USDA Soybean Germplasm Collection contains over 21,000 accessions including wild relatives, landraces, and cultivars from around the world. The majority of unimproved accessions come from China, where soybean was domesticated, as well as Japan and Korea, other areas of ancient cultivation. Domestication resulted in a loss of genetic diversity, with landraces retaining only about 63% of the diversity found in the wild Glycine soja (Hyten et al., 2006). Furthermore, 86% of the parentage of US commercial soybean cultivars released between 1947 and 1988 is accounted for by only 17 ancestral PI accessions (Gizlice et al., 1994). Because it is limited, we need to more effectively use the available...

Unique Keywords:
#50k snp, #association mapping, #breeding & genetics, #exotic germplasm, #genetic gain, #genomic prediction, #sampling, #yield
Information And Results
Project Deliverables

(1) High-quality, multi-environment yield and other agronomic performance data for 500 accessions in the USDA Soybean Germplasm Collection. High-yielding accessions with unique yield genes will be used in public and private breeding programs to increase yield.
(2) Identify yield-marker genotype relationships based on association mapping results from the extensive, high-quality yield dataset. Information from the 2015-2016 2-year, multi-location yield tests and the 50K SNP genotype data will be used to identify genomic regions, or haplotype blocks, that are associated with yield in soybean. This information will be used in public and private breeding programs to increase yield, rate of genetic gain, and genetic diversity of the commercial soybean germplasm pool.
(3) Develop predictive model(s) that allow selection of superior high-yield genotypes from the USDA germplasm collection. From each sampling group (SSD, CLU, and RAN), as well as for the group of 500 accessions overall, we will develop predictive models to allow us to go back into the germplasm collection and select untested lines based on genotype. Validation of the models with yield and other phenotype testing will be a follow-up project.
(4) Public use of data, documentation of results. Results will be published in refereed scientific journals. Data from all tests will be made available to all users through SoyBase and possibly GRIN. Details will be worked out with USDA and SoyBase administrators to facilitate availability and use.

Final Project Results

Update:
See attached final report

View uploaded report Word 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.