Selection for Gene Pyramiding Design in Admixed Population
文献类型: 外文期刊
第一作者: Xu, Lingyang
作者: Xu, Lingyang;Ren, Hangxing;Sheng, Xihui;Zhang, Li;Wei, Caihong;Du, Lixin
作者机构:
关键词: Gene pyramiding;evolutionary computation;selection strategies;population hamming distance;breeding strategy;China
期刊名称:JOURNAL OF ANIMAL AND VETERINARY ADVANCES ( 影响因子:0.365; 五年影响因子:0.359 )
ISSN: 1680-5593
年卷期: 2011 年 10 卷 18 期
页码:
收录情况: SCI
摘要: Gene pyramiding aims to design superior trait through selecting and combining favorite target alleles into a single genotype, thus it was advocated for designing breeding programs via selecting and pyramiding optimal combinations of alleles. In this study, we investigated selection for gene pyramiding design given the animal segregating population and the target trait was controlled by major genes. The admixed population was used as the base population. The mating parents were selected via detecting the favorite genes or linked markers and offspring were produced by the discrete recombination of parents. The phenotypic values were predicted by the genotype-phenotype model. Three selection strategies-genotypic selection, simple phenotypic selection and phenotypic selection integrating molecular information were developed. In genotypic selection, we only considered the favorite allele frequencies and base population sizes in admixed population and in phenotypic selection, we used genotype-phenotype model including trait heritability, gene effect and gene interaction effects to predicate phenotypic values. In each generation, we calculated population hamming distance, average superior genotype frequency and average phenotypic value to comprehensively measure the progress of gene pyramiding The strategy requires minimum generations to gain. gene pyramiding were defined as the optimization strategy. Examples were given for four target genes in order to compare the progress of gene pyramiding. The results indicate that gene pyramiding breeding process was greatly affected by the selection strategy. The gene effect and gene interaction effects in. formation affect the selection of optimal genotype combinations and more precise molecular information was needed to guide the design of effective gene pyramiding breeding programs.
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