CHARACTERIZING AN ALTERNATIVE GENE POOL FOR INCREASING U.S. SOYBEAN YIELD
Soybean Genomics and Improvement
2012 Annual Report
1a.Objectives (from AD-416):
The objective is to identify the regions of the soybean genome that have been changed or retained through 30 years of selection for yield in a set of 140 high yielding soybean lines that have been developed using germplasm accessions that are distinct from the set of accessions that form the genetic base of currently grown U.S. soybean varieties.
1b.Approach (from AD-416):
The 50,000 Illumina iSelect Beadchip developed at the USDA, Beltsville will be used to characterize 140 high yielding experimental lines that produce yields equal to or superior to currently grown U.S. soybean varieties. Using these data from the 50,000 Illumina iSelect SNPs we will determine the genomic changes that have occurred by tracking the regions of the genome that have been changed or retained through 3 decades of selection via a comparison with the 54 exotic accessions that were used as parents and that have already been genetically analyzed as part of an ongoing United Soybean Board funded project that has used the 50,000 SNP Illumina Beadchip to characterize the entire USDA Soybean Germplasm Collection.
Funds from USDA, ARS, Urbana, IL are provided by the United Soybean Board to support a project aimed at the characterization of an alternative soybean genepool with the ultimate goal of increasing genetic diversity to genetically enhance soybean yield. Work was begun to analyze 140 selected soybean experimental lines with 50,000 single nucleotide polymorphism (SNP) DNA markers at the USDA, Beltsville. The experimental lines are being analyzed for yield and agronomic traits in the field at multiple locations by the collaborator at Urbana, IL. The combined genetic marker and field data will be used to determine the genetic relatedness among the 35 major ancestral lines of U.S. soybean varieties and 54 exotic accessions used as parents in the development of the 140 experimental lines and to find regions of the soybean genome that may contain genes associated with soybean yield.