Optimal selection on two quantitative trait loci with linkage

<p>Abstract</p> <p>A mathematical approach to optimize selection on multiple quantitative trait loci (QTL) and an estimate of residual polygenic effects was applied to selection on two linked or unlinked additive QTL. Strategies to maximize total or cumulative discounted response o...

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Main Authors: Moreau Laurence, Chakraborty Reena, Dekkers Jack CM
Format: Article
Language:deu
Published: BMC 2002-03-01
Series:Genetics Selection Evolution
Subjects:
Online Access:http://www.gsejournal.org/content/34/2/171
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spelling doaj-4827aadbde6c4ce28d64abce0c60b2512020-11-25T01:06:42ZdeuBMCGenetics Selection Evolution0999-193X1297-96862002-03-0134217119210.1186/1297-9686-34-2-171Optimal selection on two quantitative trait loci with linkageMoreau LaurenceChakraborty ReenaDekkers Jack CM<p>Abstract</p> <p>A mathematical approach to optimize selection on multiple quantitative trait loci (QTL) and an estimate of residual polygenic effects was applied to selection on two linked or unlinked additive QTL. Strategies to maximize total or cumulative discounted response over ten generations were compared to standard QTL selection on the sum of breeding values for the QTL and an estimated breeding value for polygenes, and to phenotypic selection. Optimal selection resulted in greater response to selection than standard QTL or phenotypic selection. Tight linkage between the QTL (recombination rate 0.05) resulted in a slightly lower response for standard QTL and phenotypic selection but in a greater response for optimal selection. Optimal selection capitalized on linkage by emphasizing selection on favorable haplotypes. When the objective was to maximize total response after ten generations and QTL were unlinked, optimal selection increased QTL frequencies to fixation in a near linear manner. When starting frequencies were equal for the two QTL, equal emphasis was given to each QTL, regardless of the difference in effects of the QTL and regardless of the linkage, but the emphasis given to each of the two QTL was not additive. These results demonstrate the ability of optimal selection to capitalize on information on the complex genetic basis of quantitative traits that is forthcoming.</p> http://www.gsejournal.org/content/34/2/171selectionmarker-assisted selectionquantitative trait locioptimization
collection DOAJ
language deu
format Article
sources DOAJ
author Moreau Laurence
Chakraborty Reena
Dekkers Jack CM
spellingShingle Moreau Laurence
Chakraborty Reena
Dekkers Jack CM
Optimal selection on two quantitative trait loci with linkage
Genetics Selection Evolution
selection
marker-assisted selection
quantitative trait loci
optimization
author_facet Moreau Laurence
Chakraborty Reena
Dekkers Jack CM
author_sort Moreau Laurence
title Optimal selection on two quantitative trait loci with linkage
title_short Optimal selection on two quantitative trait loci with linkage
title_full Optimal selection on two quantitative trait loci with linkage
title_fullStr Optimal selection on two quantitative trait loci with linkage
title_full_unstemmed Optimal selection on two quantitative trait loci with linkage
title_sort optimal selection on two quantitative trait loci with linkage
publisher BMC
series Genetics Selection Evolution
issn 0999-193X
1297-9686
publishDate 2002-03-01
description <p>Abstract</p> <p>A mathematical approach to optimize selection on multiple quantitative trait loci (QTL) and an estimate of residual polygenic effects was applied to selection on two linked or unlinked additive QTL. Strategies to maximize total or cumulative discounted response over ten generations were compared to standard QTL selection on the sum of breeding values for the QTL and an estimated breeding value for polygenes, and to phenotypic selection. Optimal selection resulted in greater response to selection than standard QTL or phenotypic selection. Tight linkage between the QTL (recombination rate 0.05) resulted in a slightly lower response for standard QTL and phenotypic selection but in a greater response for optimal selection. Optimal selection capitalized on linkage by emphasizing selection on favorable haplotypes. When the objective was to maximize total response after ten generations and QTL were unlinked, optimal selection increased QTL frequencies to fixation in a near linear manner. When starting frequencies were equal for the two QTL, equal emphasis was given to each QTL, regardless of the difference in effects of the QTL and regardless of the linkage, but the emphasis given to each of the two QTL was not additive. These results demonstrate the ability of optimal selection to capitalize on information on the complex genetic basis of quantitative traits that is forthcoming.</p>
topic selection
marker-assisted selection
quantitative trait loci
optimization
url http://www.gsejournal.org/content/34/2/171
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