Project Number: 5012-21000-026-30
Start Date: Jan 01, 2014
End Date: Nov 30, 2016
Develop and apply marker based genomic selection methods on populations of lines developed in Illinois through crosses between lines with exotic ancestry and elite North American lines. Genomic selection will be conducted in four populations each year of the research through testing 150 plants from each population with the genotyping by sequencing (GBS) genetic marker methods. Genomic selection models developed from the NAM data will be used to select approximately 10% of the lines from the populations that are predicted to have the greatest yield performance. These selected lines will be evaluated for yield and other agronomic traits along with random lines from each population. Develop training samples of accessions from the USDA Soybean Germplasm Collection that will be used for making predictions using a method based on supersaturated experimental designs and a traditional random sampling approach. Models based on both samples will be developed and used to predict which among the untested accessions are potentially high yielding. These accessions will then be evaluated in multi-environment trials and the mean yields of the sets of the two methods will be compared to determine if there is an advantage of using the predictive models compared to making random selections.