Estimation of Genetic Parameters by Single-Trait and Multi-Trait Models for Carcass Traits in Hanwoo Cattle

Author(s)
Srivastava, Swati
Lopez, Bryan Irvine
de las Heras-Saldana, Sara
Park, Jong-Eun
Shin, Dong-Hyun
Chai, Han-Ha
Park, Woncheol
Lee, Seung-Hwan
Lim, Dajeong
Publication Date
2019-12
Abstract
Hanwoo breed is preferred in South Korea because of the high standards in marbling and the palatability of its meat. Numerous studies have been conducted and are ongoing to increase the meat production and quality in this beef population. The aim of this study was to estimate and compare genetic parameters for carcass traits using BLUPF90 software. Four models were constructed, single trait pedigree model (STPM), single-trait genomic model (STGM), multi-trait pedigree model (MTPM), and multi-trait genomic model (MTGM), using the pedigree, phenotype, and genomic information of 7991 Hanwoo cattle. Four carcass traits were evaluated: Back fat thickness (BFT), carcass weight (CWT), eye muscle area (EMA), and marbling score (MS). Heritability estimates of 0.40 and 0.41 for BFT, 0.33 and 0.34 for CWT, 0.36 and 0.37 for EMA, and 0.35 and 0.38 for MS were obtained for the single-trait pedigree model and the multi-trait pedigree model, respectively, in Hanwoo. Further, the genomic model showed more improved results compared to the pedigree model, with heritability of 0.39 (CWT), 0.39 (EMA), and 0.46 (MS), except for 0.39 (BFT), which may be due to random events. Utilization of genomic information in the form of single nucleotide polymorphisms (SNPs) has allowed more capturing of the variance from the traits improving the variance components.
Citation
Animals, 9(12), p. 1-10
ISSN
2076-2615
Pubmed ID
31810212
Link
Publisher
MDPI AG
Rights
Attribution 4.0 International
Title
Estimation of Genetic Parameters by Single-Trait and Multi-Trait Models for Carcass Traits in Hanwoo Cattle
Type of document
Journal Article
Entity Type
Publication

Files:

NameSizeformatDescriptionLink
openpublished/EstimationDeLasHerasSaldana2019JournalArticle.pdf 794.665 KB application/pdf Published version View document