Predicting breeding values using flanking marker information for marker-assisted selection in a crossbred population

Abstract

In this paper, for a crossbred population with the pedigree including non-inbred founder groups, an approach to predicting breeding values of animals as a selection criterion in marker-assisted selection is described. The current approach uses trait phenotype and flanking marker information. It allows best linear unbiased estimation of fixed effects such as macroenvironmental effects and best linear unbiased prediction of the random additive effects of the quantitative trait locus marked by flanking markers and of the remaining polygenes. A numerical example is given to illustrate how predicted breeding values for animals can be obtained with the current approach. The current approach could theoretically be a fundamental procedure of choice in genetically evaluating candidate animals for marker-assisted selection for quantitative traits in the crossbred population of concern.