Genomic selection strategies for the German Merino sheep breeding programme - A simulation study.

IF 1.9 3区 农林科学 Q2 AGRICULTURE, DAIRY & ANIMAL SCIENCE Journal of Animal Breeding and Genetics Pub Date : 2024-09-11 DOI:10.1111/jbg.12897
Rebecca Martin, Torsten Pook, Jörn Bennewitz, Markus Schmid
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Abstract

Genomic selection is widely implemented in livestock breeding programmes across species. Its potential is also evident for sheep breeding; however, it has several limitations, particularly because of the high genetic diversity across and within sheep breeds. In Germany, the predominant sheep breed is the Merino sheep. Until now, there has been no use of genomic selection in the German Merino sheep breeding programme. In this simulation study, different genomic selection strategies were compared with a reference scenario with a breeding value estimation based on pedigree BLUP. A simplified version of the German Merino sheep breeding programme, including a health and a production trait in the breeding goal, was simulated via the R package Modular Breeding Program Simulator (MoBPS). Real genotype data were used to create a population specific simulation. The reference scenario was compared with several alternative scenarios in which selection was based on single-step GBLUP (ssGBLUP) breeding value estimation with varying genotyping strategies. In addition to scenarios in which all male and all male plus all female lambs were genotyped, scenarios with a preselection of lambs, that is only a certain proportion (top 25%, top 50%) genotyped, were simulated. The results revealed that genetic gain increased with increasing numbers of available genotypes. However, marginal gains decreased with increasing numbers of genotypes. Compared with the reference scenario, genotyping the top 25% of male lambs increased the genetic gain for the breeding ram population by 13% for both traits whereas genotyping the top 50% of male lambs or all male lambs led to increases of 18% (17%) or 26% (21%) for the health (production) trait, respectively. The potential of genotyping females in addition to male lambs was less evident on the male side with no significant differences between the scenarios with different proportions of genotyped females. The results have shown that genomic selection can be a valuable tool to increase genetic gain in the German Merino sheep population and that the genotyping of a certain proportion of animals might lead to substantial improvement over pedigree-based breeding value estimation. Nevertheless, further studies, especially economic evaluations, are needed before practical implementation.

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德国美利奴羊育种计划的基因组选择策略 - 一项模拟研究。
基因组选择广泛应用于各种牲畜育种计划中。基因组选育在绵羊育种方面的潜力也很明显;但它也有一些局限性,特别是因为绵羊品种间和品种内的遗传多样性很高。在德国,最主要的绵羊品种是美利奴羊。到目前为止,德国的美利奴羊育种计划中还没有使用基因组选育。在这项模拟研究中,不同的基因组选育策略与基于血统 BLUP 的育种价值估算参考方案进行了比较。通过 R 软件包模块化育种计划模拟器(MoBPS)模拟了德国美利奴羊育种计划的简化版,育种目标包括健康和生产性状。真实基因型数据被用于创建特定种群模拟。参考方案与几种备选方案进行了比较,在这些方案中,选择基于单步 GBLUP(ssGBLUP)育种值估算和不同的基因分型策略。除了对所有公羔和所有公羔加所有母羔进行基因分型的方案外,还模拟了对羔羊进行预选的方案,即只对一定比例(前 25%、前 50%)的羔羊进行基因分型。结果显示,遗传增益随着可用基因型数量的增加而增加。然而,边际收益随着基因型数量的增加而降低。与参考方案相比,对前 25% 的雄性羔羊进行基因分型可使种公羊群体的两个性状的遗传增益提高 13%,而对前 50% 的雄性羔羊或所有雄性羔羊进行基因分型可使健康(生产)性状的遗传增益分别提高 18% (17%)或 26% (21%)。在雄性羔羊中,除了对雄性羔羊进行基因分型外,对雌性羔羊进行基因分型的潜力也不太明显,不同比例的雌性羔羊基因分型方案之间没有显著差异。研究结果表明,基因组选育是提高德国美利奴羊种群遗传增益的重要工具,对一定比例的动物进行基因分型可能会大大改善基于血统的育种价值评估。不过,在实际应用之前还需要进一步研究,特别是经济评估。
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来源期刊
Journal of Animal Breeding and Genetics
Journal of Animal Breeding and Genetics 农林科学-奶制品与动物科学
CiteScore
5.20
自引率
3.80%
发文量
58
审稿时长
12-24 weeks
期刊介绍: The Journal of Animal Breeding and Genetics publishes original articles by international scientists on genomic selection, and any other topic related to breeding programmes, selection, quantitative genetic, genomics, diversity and evolution of domestic animals. Researchers, teachers, and the animal breeding industry will find the reports of interest. Book reviews appear in many issues.
期刊最新文献
Genomic Diversity of U.S. Katahdin Hair Sheep. The Effect of Preselection on the Level of Bias and Accuracy in a Broiler Breeder Population, a Simulation Study. Genomic Prediction Using Imputed Whole-Genome Sequence Data in Australian Angus Cattle. Genetic Characterisation of Feeding Patterns in Lactating Holstein Cows and Their Association With Feed Efficiency Traits. Methods of Calculating Prediction Error Variance and Prediction Accuracy for Restricted Best Linear Unbiased Prediction of Breeding Values.
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