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Title: THI Modulation of Genetic and Non-genetic Variance Components for Carcass Traits in Hanwoo Cattle
Contributor(s): Chung, Yoonji (author); Lee, Seung Hwan (author); Lee, Hak-Kyo (author); Lim, Dajeong (author); Van Der Werf, Julius  (author)orcid ; Lee, S Hong  (author)
Publication Date: 2020-12-23
Open Access: Yes
DOI: 10.3389/fgene.2020.576377
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The phenotype of carcass traits in beef cattle are affected by random genetic and non-genetic effects, which both can be modulated by an environmental variable such as Temperature-Humidity Index (THI), a key environmental factor in cattle production. In this study, a multivariate reaction norm model (MRNM) was used to assess if the random genetic and non-genetic (i.e., residual) effects of carcass weight (CW), back fat thickness (BFT), eye muscle area (EMA), and marbling score (MS) were modulated by THI, using 9,318 Hanwoo steers (N = 8,964) and cows (N = 354) that were genotyped on the Illumina Bovine SNP50 BeadChip (50K). THI was measured based on the period of 15-45 days before slaughter. Both the correlation and the interaction between THI and random genetic and non-genetic effects were accounted for in the model. In the analyses, it was shown that the genetic effects of EMA and the non-genetic effects of CW and MS were significantly modulated by THI. No significant THI modulation of such effects was found for BFT. These results highlight the relevance of THI changes for the genetic and non-genetic variation of CW, EMA, and MS in Hanwoo beef cattle. Importantly, heritability estimates for CW, EMA, and MS from additive models without considering THI interactions were underestimated. Moreover, the significance of interaction can be biased if not properly accounting for the correlation between THI and genetic and non-genetic effects. Thus, we argue that the estimation of genetic parameters should be based on appropriate models to avoid any potential bias of estimates. Our finding should serve as a basis for future studies aiming at revealing genotype by environment interaction in estimation and genomic prediction of breeding values.

Publication Type: Journal Article
Grant Details: ARC/DP190100766
Source of Publication: Frontiers in Genetics, v.11, p. 1-11
Publisher: Frontiers Research Foundation
Place of Publication: Switzerland
ISSN: 1664-8021
Fields of Research (FoR) 2020: 310207 Statistical and quantitative genetics
300305 Animal reproduction and breeding
Socio-Economic Objective (SEO) 2020: 100401 Beef cattle
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science

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