title: On prediction of genetic values in marker-assisted selection.
abstract: We suggest a new approximation for the prediction of genetic values in marker-assisted selection. The new approximation is compared to the standard approach. It is shown that the new approach will often provide substantially better prediction of genetic values; furthermore the new approximation avoids some of the known statistical problems of the standard approach. The advantages of the new approach are illustrated by a simulation study in which the new approximation outperforms both the standard approach and phenotypic selection.
authors.affiliation: Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115, USA.
authors.forename: C
authors.initials: C
authors.lastname: Lange
authors.forename: J C
authors.initials: JC
authors.lastname: Whittaker
mesh_terms: D003198:Computer Simulation; D003433:Crosses, Genetic; D005819:Genetic Markers; D008957:Models, Genetic; D015233:Models, Statistical; D010641:Phenotype; D019655:Quantitative Trait, Heritable
chemical_list: D005819:Genetic Markers