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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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 |
work_keys_str_mv |
AT moreaulaurence optimalselectionontwoquantitativetraitlociwithlinkage AT chakrabortyreena optimalselectionontwoquantitativetraitlociwithlinkage AT dekkersjackcm optimalselectionontwoquantitativetraitlociwithlinkage |
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