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Genetic parameters and accuracy of traditional and genomic breeding values for eye pigmentation, hair coat and breed standard in Hereford and Braford cattle

机译:符合眼色素沉着,毛发和品种标准的传统和基因组育种价值的遗传参数和准确性,符合Braford牛

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摘要

The objectives of this research were to estimate genetic parameters using a threshold animal model by traditional (pedigree and phenotype) and single-step genomic BLUP methodologies, and assess breeding value accuracy gains with the inclusion of genomic information for eye pigmentation (EP), hair coat at weaning (HW) and yearling (HY) and breed standard (BS) in Hereford and Braford cattle. The relationship of these traits with tick resistance was also evaluated. The data used in this study were obtained from Conexao Delta G breeding program and belong to animals born between 1991 and 2014, totaling 169,839 individuals in the pedigree data, 73,615 phenotypes for EP, 81,043 for HW, 41,390 for HY, 28,186 for BS and 16,621 for tick count (TC). The genotypic data, after quality control, retained 41,011 SNP markers and 3,954 samples, including 2841 Braford and 909 Hereford animals with phenotypic records for at least one of the considered traits. Estimated heritabilities through traditional and genomic methods ranged from high to medium magnitude, being, respectively 0.46 +/- 0.02 and 0.46 +/- 0.02 for EP, 0.44 +/- 0.03 and 0.44 +/- 0.03 for HW, 0.42 +/- 0.02 and 0.41 +/- 0.02 for HY and 0.33 +/- 0.02 and 0.32 +/- 0.02 for BS. Genetic correlations among all traits were of low magnitude (-0.23 & rg & 0.29), except between HW and HY (0.62). The use of genomic information provided higher accuracy levels with gains of 0.28 and 0.14 for EP, 0.13 and 0.07 for HW, 0.16 and 0.30 for HY and 0.10 and 0.04 for BS traits, respectively considering k-means and random grouping cross-validation strategies. Thus, it is possible to obtain genetic gains in adaptation through selection for the studied traits. High genetic correlation between the hair coat evaluated at weaning and yearling indicates that selection for these traits can be performed in advance at weaning. Although low, the favorable correlations between adaptation traits favors the selection of animals that are more adapted to the tropical environmental conditions, using correlated responses to increased eye pigmentation and reduced hair coat and tick count simultaneously. The prediction of breeding values using genomic information by the single-step method should result in more accurate predictions compared to traditional pedigree evaluations.
机译:本研究的目的是通过传统(谱系和表型)和单步基因组细胞方法使用阈值动物模型来估计遗传参数,并通过包含眼睛色素沉着(EP)的基因组信息,评估育种值准确性提升在赫里福德和布拉夫罗德牛的断奶(HW)和一岁(HY)和品种标准(BS)的外套。还评估了这些具有蜱抗性的这些性状的关系。本研究中使用的数据是从康塞安三角洲G育种计划获得的,并属于1991年至2014年间出生的动物,总血统数据中的169,839人,EP的73,615个表型,用于HW的81,043个,21,390型为HY,BS为28,186,BS为28,186,BS和16,621用于刻度计数(TC)。基因型数据,在质量控制后保留了41,011个SNP标记和3,954个样本,其中包括2841个Braford和909例,具有至少一种被认为的特征的表型记录。通过传统和基因组方法的估计遗传性从高于中等幅度,对于HW,0.44 +/- 0.03和0.44 +/- 0.03分别为0.46 +/- 0.02和0.46 +/- 0.02,0.42 +/- 0.02对于BS,0.41 +/- 0.02和0.33 +/- 0.02和0.32 +/- 0.02。所有特征之间的遗传相关性低幅度(-0.23& rg& 0.29),除了hw和hy(0.62)。基因组信息的使用提供了较高的精度水平,EP,0.13和0.14的增益为HW,0.13和0.07,对于BS特征,0.10和0.04,分别考虑K-means和随机分组交叉验证策略。因此,可以通过选择研究的性状来获得适应的遗传增益。在断奶和七七里评估的头发涂层之间的高遗传相关表明可以在断奶提前进行这些性状的选择。虽然很低,适应性特征之间的有利相关性有利于使用与热带环境条件更适应的动物的选择,同时使用相关的眼睛色素沉着和减少的毛发涂层和蜱数。通过单步方法使用基因组信息的预测应导致与传统的谱系评估相比更准确的预测。

著录项

  • 来源
    《Livestock Science》 |2018年第2018期|共7页
  • 作者单位

    Univ Fed Pelotas Dept Zootecnia Program Posgrad Zootecnia BR-96010900 Pelotas RS Brazil;

    Univ Fed Pelotas Dept Zootecnia Program Posgrad Zootecnia BR-96010900 Pelotas RS Brazil;

    Univ Fed Pelotas Dept Zootecnia Program Posgrad Zootecnia BR-96010900 Pelotas RS Brazil;

    Univ Fed Pelotas Dept Zootecnia Program Posgrad Zootecnia BR-96010900 Pelotas RS Brazil;

    Univ Fed Vicosa Dept Zootecnia Programa Posgrad Genet &

    Melhoramento BR-36570900 Vicosa MG Brazil;

    Univ Fed Pelotas Dept Zootecnia Program Posgrad Zootecnia BR-96010900 Pelotas RS Brazil;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 家畜;
  • 关键词

    Beef cattle; Genetic parameters; Genomic selection; Threshold models;

    机译:牛肉;遗传参数;基因组选择;阈值模型;

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