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. 2001 Nov;159(3):1375–1381. doi: 10.1093/genetics/159.3.1375

On prediction of genetic values in marker-assisted selection.

C Lange 1, J C Whittaker 1
PMCID: PMC1461875  PMID: 11729177

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.

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Selected References

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  1. Gimelfarb A., Lande R. Simulation of marker assisted selection for non-additive traits. Genet Res. 1994 Oct;64(2):127–136. doi: 10.1017/s0016672300032730. [DOI] [PubMed] [Google Scholar]
  2. Haley C. S., Knott S. A. A simple regression method for mapping quantitative trait loci in line crosses using flanking markers. Heredity (Edinb) 1992 Oct;69(4):315–324. doi: 10.1038/hdy.1992.131. [DOI] [PubMed] [Google Scholar]
  3. Lande R., Thompson R. Efficiency of marker-assisted selection in the improvement of quantitative traits. Genetics. 1990 Mar;124(3):743–756. doi: 10.1093/genetics/124.3.743. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Whittaker J. C., Curnow R. N., Haley C. S., Thompson R. Using marker-maps in marker-assisted selection. Genet Res. 1995 Dec;66(3):255–265. doi: 10.1017/s0016672300034698. [DOI] [PubMed] [Google Scholar]

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