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本文引用的文献

1
Genome-Wide Association Study of Meat Quality Traits in Nellore Cattle.内洛尔牛产肉品质性状的全基因组关联研究。
PLoS One. 2016 Jun 30;11(6):e0157845. doi: 10.1371/journal.pone.0157845. eCollection 2016.
2
Genomic prediction of breeding values for carcass traits in Nellore cattle.内洛尔牛胴体性状育种值的基因组预测
Genet Sel Evol. 2016 Jan 29;48:7. doi: 10.1186/s12711-016-0188-y.
3
A new approach for efficient genotype imputation using information from relatives.一种利用亲属信息进行高效基因型插补的新方法。
BMC Genomics. 2014 Jun 17;15(1):478. doi: 10.1186/1471-2164-15-478.
4
Genome scan for meat quality traits in Nelore beef cattle.对尼洛拉牛肉牛肉质性状的全基因组扫描。
Physiol Genomics. 2013 Nov 1;45(21):1012-20. doi: 10.1152/physiolgenomics.00066.2013. Epub 2013 Sep 10.
5
Genetic associations between daily BW gain and live fleshiness of station-tested young bulls and carcass and meat quality traits of commercial intact males in Piemontese cattle.皮埃蒙特牛站测定公牛日增重与活体丰满度的遗传关联,以及商业纯种公牛胴体和肉质特性。
J Anim Sci. 2013 May;91(5):2057-66. doi: 10.2527/jas.2012-5386. Epub 2013 Mar 5.
6
Genetic parameters of carcass and meat quality traits of double muscled Piemontese cattle.双肌型皮埃蒙特牛胴体和肉质性状的遗传参数。
Meat Sci. 2011 Sep;89(1):84-90. doi: 10.1016/j.meatsci.2011.03.024. Epub 2011 Apr 8.
7
Genetic and environmental effects on meat quality.遗传和环境因素对肉质的影响。
Meat Sci. 2010 Sep;86(1):171-83. doi: 10.1016/j.meatsci.2010.04.042. Epub 2010 May 10.
8
Hot topic: a unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score.热门话题:利用表型、全谱系和基因组信息统一方法对荷斯坦综合评分进行遗传评估。
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9
A relationship matrix including full pedigree and genomic information.一个包含完整谱系和基因组信息的关系矩阵。
J Dairy Sci. 2009 Sep;92(9):4656-63. doi: 10.3168/jds.2009-2061.
10
Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information.用于遗传评估的计算程序,包括表型、完整系谱和基因组信息。
J Dairy Sci. 2009 Sep;92(9):4648-55. doi: 10.3168/jds.2009-2064.

内罗尔牛胴体和肉质特性的遗传分析 1 。

Genetic analysis of carcass and meat quality traits in Nelore cattle1.

机构信息

São Paulo State University (Unesp), School of Agricultural and Veterinarian Science, Animal Science Department, Jaboticabal, SP, Brazil.

出版信息

J Anim Sci. 2018 Sep 7;96(9):3558-3564. doi: 10.1093/jas/sky228.

DOI:10.1093/jas/sky228
PMID:30007290
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6127781/
Abstract

The objective of this study was to estimate genetic parameters for carcass and meat quality traits, as well as their genetic correlations using pedigree and genomic information. A total of 3,716; 3,702; 3,439; 3,705; and 3,714 records of 12th-13th rib LM area (LMA), backfat thickness (BF), HCW, marbling score (MARB), and Warner-Bratzler peak shear force (WBSF), respectively, were used. Animals were genotyped with BovineHD BeadChip and GeneSeek Genomic Profiler Indicus HD - GGP75Ki panel. The (co)variance components were estimated by Bayesian inference using a multitrait ssGBLUP analysis. The animal model included fixed effects of contemporary group (defined by the combination of farm and year of birth, and management group at yearling) and age of animal at slaughtering as a covariate (linear). Direct additive genetic and residual effects were fitted as random. The posterior means and SD of heritabilities for LMA, BF, HCW, MARB, and WBSF were 0.28 (0.03), 0.21 (0.04), 0.21 (0.04), 0.12 (0.04), and 0.11 (0.03), respectively. The posterior means for genetic correlations between LMA and meat quality were positive and moderate with MARB (0.38 ± 0.12) and negative with WBSF (-0.47 ± 0.12). Low genetic correlations were estimated between BF and WBSF (-0.03 ± 0.16) and between HCW and MARB (-0.04 ± 0.14), indicating that these traits are not controlled by the same set or linked genes. Carcass traits (LMA, BF, and HCW) presented moderate heritability providing quick response to the selection purpose. The estimates of heritability for meat quality traits (MARB and WBSF) were low and indicate that the rate of genetic improvement for these traits would be slow. Genetic correlations indicated that selection for carcass traits would not be strongly antagonistic for improving meat quality.

摘要

本研究旨在利用系谱和基因组信息估计胴体和肉质性状的遗传参数及其遗传相关性。共使用了 3716、3702、3439、3705 和 3714 个第 12-13 肋骨 LM 面积(LMA)、背膘厚度(BF)、宰前活重(HCW)、大理石花纹评分(MARB)和 Warner-Bratzler 峰值剪切力(WBSF)的记录。动物使用 BovineHD BeadChip 和 GeneSeek Genomic Profiler Indicus HD-GGP75Ki 面板进行基因分型。采用多性状 ssGBLUP 分析的贝叶斯推断估计(协)方差分量。动物模型包括当代群体(由农场和出生年份以及一岁时的管理群体定义)的固定效应和屠宰时动物年龄的协变量(线性)。直接加性遗传和残余效应被拟合为随机效应。LMA、BF、HCW、MARB 和 WBSF 的后验均值和遗传力标准差分别为 0.28(0.03)、0.21(0.04)、0.21(0.04)、0.12(0.04)和 0.11(0.03)。LMA 和肉质之间的遗传相关性的后验均值为正值且中等,与 MARB(0.38±0.12)呈正相关,与 WBSF(-0.47±0.12)呈负相关。BF 和 WBSF(-0.03±0.16)之间以及 HCW 和 MARB(-0.04±0.14)之间估计的遗传相关性较低,表明这些性状不受同一组或连锁基因的控制。胴体性状(LMA、BF 和 HCW)具有中等的遗传力,为选择目的提供了快速响应。肉质性状(MARB 和 WBSF)的遗传力估计值较低,表明这些性状的遗传改良速度会较慢。遗传相关性表明,对胴体性状的选择不会强烈拮抗肉质的改善。