Optimizing Selection on Multiple Identified Quantitative Trait Loci in Population with Overlapping Generations

TANG Guo-Qing, LI Xue-Wei
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引用次数: 2

Abstract

A method was developed to model and optimize selection on multiple identified quantitative trait loci (QTLs) and polygenic estimated breeding value, in order to maximize a weighted sum of cumulative response to selection over multiple years in a population with overlapping generations. The model allows for a population with multiple sex-age classes, different number of age class between sires and dams, and varied genetic contribution of the age class. The optimization problem was formulated as a multiple-stage optimal control problem and solved by a forward and backward iteration loop. The practical utility of this method was illustrated in an example of pig breeding population with overlapping generations. The selection response of this method was compared with standard QTL selection and conventional best linear unbiased prediction (BLUP) selection. Simulation results show that optimal selection achieved greater selection response than either standard QTL or conventional BLUP selections. The influence of population structure on optimal selection was significant. Optimal QTL selection and standard QTL selection were more favorable in a population with overlapping generations than discrete generations, and obtained more benefits relative to conventional BLUP selection in a population with overlapping generations. Optimal QTL selection relative to conventional BLUP selection is also more favorable following increase of genetic contribution of two-year-old boars and sows in a population with overlapping generations.

重叠世代群体中多个已鉴定数量性状位点的优化选择
建立了一种基于多个已鉴定的数量性状位点(qtl)和多基因育种估计值对选择进行建模和优化的方法,以最大化重叠世代群体多年累积选择响应的加权总和。该模型允许种群中存在多性别、多年龄层、不同母系和母系之间存在不同的年龄层数量以及不同年龄层的遗传贡献。将优化问题表述为一个多阶段的最优控制问题,采用正向和反向迭代循环求解。以一个世代重叠的种猪群体为例,说明了该方法的实用性。并与标准QTL选择和常规最佳线性无偏预测(BLUP)选择进行了比较。仿真结果表明,最优选择比标准QTL和常规BLUP选择获得了更大的选择响应。种群结构对最优选择的影响显著。在重叠代群体中,最优QTL选择和标准QTL选择比离散代群体更有利;在重叠代群体中,最优QTL选择和标准QTL选择比常规BLUP选择更有利。在世代重叠的群体中,2岁公猪和母猪的遗传贡献增加后,QTL的最佳选择也比传统的BLUP选择更有利。
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