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

被引:29
|
作者
Mehrban, Hossein [1 ]
Lee, Deuk Hwan [2 ]
Naserkheil, Masoumeh [3 ]
Moradi, Mohammad Hossein [4 ]
Ibanez-Escriche, Noelia [5 ]
机构
[1] Shahrekord Univ, Dept Anim Sci, Shahrekord, Iran
[2] Hankyong Natl Univ, Dept Anim Life & Environm Sci, Jungang Ro 327, Anseong, Gyeonggi Do, South Korea
[3] Univ Tehran, Univ Coll Agr & Nat Resources, Dept Anim Sci, Karaj, Iran
[4] Arak Univ, Fac Agr & Nat Resources, Dept Anim Sci, Arak, Iran
[5] Univ Politecn Valencia, Inst Anim Sci & Technol, Valencia, Spain
来源
PLOS ONE | 2019年 / 14卷 / 10期
关键词
GENETIC EVALUATION; FULL PEDIGREE; PREDICTION; ACCURACY; INFORMATION; PARAMETERS; SELECTION;
D O I
10.1371/journal.pone.0223352
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
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 similar to 19% and similar to 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.
引用
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页数:13
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