Genetics, Vol. 159, 1375-1381, November 2001, Copyright © 2001

On Prediction of Genetic Values in Marker-Assisted Selection

Christoph Langea,b and John C. Whittakerb
a Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115
b School of Applied Statistics, University of Reading, Reading RG6 6FN, United Kingdom

Corresponding author: John C. Whittaker, Department of Epidemiology and Public Health, Imperial College School of Medicine, St. Mary's Campus, Norfolk Place, London W2 1PG, United Kingdom.

Communicating editor: C. HALEY

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.





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