Genetics Selection Evolution | |
Optimal selection on two quantitative trait loci with linkage | |
Laurence Moreau2  Reena Chakraborty1  Jack CM Dekkers1  | |
[1] Department of Animal Science, 225 Kildee Hall, Iowa State University Ames, IA, 50011, USA;Inra-UPS-Ina PG, Station de génétique végétale, Ferme du Moulon, 91190 Gif-sur-Yvette, France | |
关键词: optimization; quantitative trait loci; marker-assisted selection; selection; | |
Others : 1094589 DOI : 10.1186/1297-9686-34-2-171 |
|
received in 2001-02-05, accepted in 2001-10-15, 发布年份 2002 | |
【 摘 要 】
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.
【 授权许可】
2002 INRA, EDP Sciences
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
20150130174424692.pdf | 284KB | download |