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Genomic selection (GS) is a method to estimate the breeding values of individuals by using markers distributed throughout the genome. We evaluated the accuracies of GS using data from five traits on 446 oat lines genotyped with 1005 Diversity Array Technology (DArT) markers and two GS methods (RR-BLUP and BayesCπ) under various training designs. Our objectives were to: 1) determine accuracy under increasing marker density and training population size; 2) assess accuracies when data is divided over time; and 3) examine accuracy in the presence of population structure. Accuracy increased as the number of markers and training size become larger. Including older lines in the training population 2 Reprinted with permission from The Plant Genome 4:132-144. 2 Department of Agronomy, Iowa State University, Ames, IA, 50011. 3 USDA-ARS, Corn Insects and Crop Genetics Research Unit, Ames, IA, USA 50011 4 USDA-ARS, R.W. Holley Center for Agriculture and Health, Department of Plant Breeding and Genetics, Cornell University, Ithaca, New York, 14853, USA. 5 Primary researcher and author. *Corresponding author( jeanluc.jannink@ars.usda.gov).

Breeding for β-glucan content in elite North American oat (Avena sativa L.) using molecular markers