A dynamic deterministic model to optimize a multiple-trait selection scheme

被引:4
作者
Costard, A. D. [1 ]
Vitezica, Z. G. [2 ,3 ,4 ,5 ]
Moreno, C. R. [1 ]
Elsen, J. -M. [1 ]
机构
[1] INRA, SAGA, F-31326 Castanet Tolosan, France
[2] INRA, UMR Tandem Tissus Anim Nutr Digest Ecosyst & Meta, F-31326 Castanet Tolosan, France
[3] Ecole Natl Super Agron Toulouse, F-31326 Castanet Tolosan, France
[4] Ecole Natl Vet Toulouse, Inst Natl Polytech Toulouse, F-31326 Castanet Tolosan, France
[5] Univ Toulouse, Toulouse, France
关键词
genetic algorithm; global optimization; marker-assisted selection; selection scheme; MARKER-ASSISTED SELECTION; MEAT QUALITY; MAJOR GENE; QUANTITATIVE TRAITS; POTENTIAL GAIN; OVULATION RATE; PIGS; INFORMATION; CARCASS; LOCUS;
D O I
10.2527/jas.2008-0898
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
mathematical approach was developed to model and optimize simultaneous selection on 2 traits, a quantitative trait with underlying polygenic variation and a monogenic trait (e. g., resistance to a disease). A deterministic model allows global optimization of the selection scheme to maximize the frequency of the desired genotype for the monogenic trait, while minimizing the loss of genetic progress on the polygenic trait. An additive QTL or gene was considered. Breeding programs with overlapping generations, different selection strategies for males and females, and assortative mating were modeled. A genetic algorithm was used to solve this optimization problem. This modeling approach may easily be adapted to a variety of underlying genetic models and selection schemes. This model was applied to an example where selection on the Prp gene for scrapie resistance was introduced as an additional selection criterion in an already existing dairy sheep selection scheme.
引用
收藏
页码:885 / 894
页数:10
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