首页> 外文期刊>PLoS One >Comparison of conventional BLUP and single-step genomic BLUP evaluations for yearling weight and carcass traits in Hanwoo beef cattle using single trait and multi-trait models
【24h】

Comparison of conventional BLUP and single-step genomic BLUP evaluations for yearling weight and carcass traits in Hanwoo beef cattle using single trait and multi-trait models

机译:使用单个特征和多特质模型对汉沃牛肉牛群重量和胴体特征进行常规弹簧和单步基因组结肠评价的比较

获取原文
       

摘要

Hanwoo, an important indigenous and popular breed of beef cattle in Korea, shows rapid growth and has high meat quality. Its yearling weight (YW) and carcass traits (backfat thickness, carcass weight- CW, eye muscle area, and marbling score) are economically important for selection of young and proven bulls. However, measuring carcass traits is difficult and expensive, and can only be performed postmortem. Genomic selection has become an appealing procedure for genetic evaluation of these traits (by inclusion of the genomic data) along with the possibility of multi-trait analysis. The aim of this study was to compare conventional best linear unbiased prediction (BLUP) and single-step genomic BLUP (ssGBLUP) methods, using both single-trait (ST-BLUP, ST-ssGBLUP) and multi-trait (MT-BLUP, MT-ssGBLUP) models to investigate the improvement of breeding-value accuracy for carcass traits and YW. The data comprised of 15,279 phenotypic records for YW and 5,824 records for carcass traits, and 1,541 genotyped animals for 34,479 single-nucleotide polymorphisms. Accuracy for each trait and model was estimated only for genotyped animals by five-fold cross-validation. ssGBLUP models (ST-ssGBLUP and MT-ssGBLUP) showed ~19% and ~36% greater accuracy than conventional BLUP models (ST-BLUP and MT-BLUP) for YW and carcass traits, respectively. Within ssGBLUP models, the accuracy of the genomically estimated breeding value for CW increased (19%) when ST-ssGBLUP was replaced with the MT-ssGBLUP model, as the inclusion of YW in the analysis led to a strong genetic correlation with CW (0.76). For backfat thickness, eye muscle area, and marbling score, ST- and MT-ssGBLUP models yielded similar accuracy. Thus, combining pedigree and genomic data via the ssGBLUP model may be a promising way to ensure acceptable accuracy of predictions, especially among young animals, for ongoing Hanwoo cattle breeding programs. MT-ssGBLUP is highly recommended when phenotypic records are limited for one of the two highly correlated genetic traits.
机译:韩国的重要土着和流行牛肉牛的汉语,显示出快速增长,肉质高。它的一岁重量(YW)和胴体性状(背带厚度,胴体砝码,眼部肌肉区域,眼部肌肉区域)对于选择年轻和经过验证的公牛来说是经济的重要意义。但是,测量胴体性状难以且昂贵,并且只能执行后期。基因组选择已成为这些特征的遗传评价(通过包含基因组数据)以及多特征分析的可能性的吸引力。本研究的目的是使用单个特征(ST-Blup,ST-SSGBLUP)和多特征(MT-Blup, MT-SSGBLUP)模型探讨胴体性状和YW育种值准确性的提高。数据组成的数据包括15,279个表型记录,用于氧化Yw和5,824条记录,用于34,479个单核苷酸多态性的1,541种基因分型动物。每个特征和模型的准确性仅针对基因分型动物估计五倍的交叉验证。 SSGBLUP模型(ST-SSGBLUP和MT-SSGBLUP)分别显示〜19%,比传统的BLUP模型(ST-BLUP和MT-BLUP)分别为YW和胴体特征的准确性〜19%和36%。在SSGBLUP模型中,当用MT-SSGBLUP模型代替SSGBLUP替换SSGBLUP的CW的基因组估计育种值的准确性,因为在分析中包含YW导致CW的强遗传相关性(0.76 )。对于Backfat厚度,眼睛肌肉区域和大理石机械得分,ST和MT-SSGBLUP模型产生了类似的准确性。因此,通过SSGBLUP模型组合谱系和基因组数据可能是一种有希望的方法,以确保正在进行的河道牛养殖计划的幼儿中可接受的预测精度,尤其是年轻动物。当表型记录限制在两个高度相关的遗传性状中的一项时,强烈建议使用MT-SSGBLUP。

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号