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在一个猪群中进行基因组选择,该猪群包含来自同胞测定计划中种公猪屠宰全同胞的信息。

Genomic selection in a pig population including information from slaughtered full sibs of boars within a sib-testing program.

作者信息

Samorè A B, Buttazzoni L, Gallo M, Russo V, Fontanesi L

机构信息

1Department of Agricultural and Food Sciences,Division of Animal Sciences,University of Bologna,40127 Bologna,Italy.

2Centro di Ricerca per la Produzione delle Carni e il Miglioramento Genetico,Consiglio per la Ricerca e la Sperimentazione in Agricoltura,Monterotondo Scalo,00016 Roma,Italy.

出版信息

Animal. 2015 May;9(5):750-9. doi: 10.1017/S1751731114002924. Epub 2014 Dec 16.

Abstract

Genomic selection is becoming a common practise in dairy cattle, but only few works have studied its introduction in pig selection programs. Results described for this species are highly dependent on the considered traits and the specific population structure. This paper aims to simulate the impact of genomic selection in a pig population with a training cohort of performance-tested and slaughtered full sibs. This population is selected for performance, carcass and meat quality traits by full-sib testing of boars. Data were simulated using a forward-in-time simulation process that modeled around 60K single nucleotide polymorphisms and several quantitative trait loci distributed across the 18 porcine autosomes. Data were edited to obtain, for each cycle, 200 sires mated with 800 dams to produce 800 litters of 4 piglets each, two males and two females (needed for the sib test), for a total of 3200 newborns. At each cycle, a subset of 200 litters were sib tested, and 60 boars and 160 sows were selected to replace the same number of culled male and female parents. Simulated selection of boars based on performance test data of their full sibs (one castrated brother and two sisters per boar in 200 litters) lasted for 15 cycles. Genotyping and phenotyping of the three tested sibs (training population) and genotyping of the candidate boars (prediction population) were assumed. Breeding values were calculated for traits with two heritability levels (h 2=0.40, carcass traits, and h 2=0.10, meat quality parameters) on simulated pedigrees, phenotypes and genotypes. Genomic breeding values, estimated by various models (GBLUP from raw phenotype or using breeding values and single-step models), were compared with the classical BLUP Animal Model predictions in terms of predictive ability. Results obtained for traits with moderate heritability (h 2=0.40), similar to the heritability of traits commonly measured within a sib-testing program, did not show any benefit from the introduction of genomic selection. None of the considered genomic models provided improvements in prediction ability of pigs with no recorded phenotype. However, a few advantages were found for traits with low heritability (h 2=0.10). These heritability levels are characteristic for meat quality traits recorded after slaughtering or for reproduction or health traits, typically recorded on field and not in performance stations. Other scenarios of data recording and genotyping should be evaluated before considering the implementation of genomic selection in a pig-selection scheme based on sib testing of boars.

摘要

基因组选择正在成为奶牛养殖中的一种常见做法,但只有少数研究探讨了其在猪育种计划中的应用。针对该物种所描述的结果高度依赖于所考虑的性状和特定的群体结构。本文旨在模拟基因组选择对一个猪群体的影响,该群体的训练群体为经过性能测试和屠宰的全同胞。该群体通过对公猪进行全同胞测试来选择性能、胴体和肉质性状。数据使用向前时间模拟过程进行模拟,该过程对分布在18条猪常染色体上的约60K个单核苷酸多态性和几个数量性状位点进行建模。对数据进行编辑,以便在每个周期中,让200头公猪与800头母猪交配,产生800窝仔猪,每窝4头仔猪,即两公两母(用于同胞测试),总共3200头新生仔猪。在每个周期中,对200窝仔猪的一个子集进行同胞测试,并选择60头公猪和160头母猪来替换相同数量被淘汰的公母亲本。基于公猪全同胞的性能测试数据(每头公猪在200窝中有一个阉割的兄弟和两个姐妹)进行模拟选择,持续15个周期。假设对三只测试同胞(训练群体)进行基因分型和表型分析,以及对候选公猪(预测群体)进行基因分型。在模拟的系谱、表型和基因型上,针对两种遗传力水平(h² = 0.40,胴体性状;h² = 0.10,肉质参数)的性状计算育种值。将通过各种模型(来自原始表型的GBLUP或使用育种值和单步模型)估计的基因组育种值与经典的BLUP动物模型预测在预测能力方面进行比较。对于中等遗传力(h² = 0.40)的性状所获得的结果,类似于同胞测试程序中通常测量的性状的遗传力,没有显示出引入基因组选择有任何益处。所考虑的基因组模型中没有一个能提高对无记录表型的猪的预测能力。然而,对于低遗传力(h² = 0.10)的性状发现了一些优势。这些遗传力水平是屠宰后记录的肉质性状或繁殖或健康性状的特征,这些性状通常在农场记录而不是在性能测定站记录。在考虑基于公猪同胞测试的猪育种方案中实施基因组选择之前,应该评估其他数据记录和基因分型的情况。

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