Open AccessOn Prediction of Genetic Values in Marker-Assisted Selection
Author(s) -
Christoph Lange,
John C. Whittaker
Publication year - 2001
Publication title -
genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
eISSN - 1943-2631
pISSN - 0016-6731
DOI - 10.1093/genetics/159.3.1375
Subject(s) - selection (genetic algorithm) , biology , computational biology , genetics , machine learning , computer science , artificial intelligence
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.