Journal of Animal Breeding and Genomics (J Anim Breed Genom)
Indexed in KCI
OPEN ACCESS, PEER REVIEWED
pISSN 1226-5543
eISSN 2586-4297
Research Article

Development and implementation of genomic selection model for economic traits in Korean native cattle (Hanwoo)

1Livestock Research Institute, Nonghyup Agribusiness Group, Anseong, Gyeonggi-do, 17558, Korea
2JJ Company, 54 Hyeonchon 1-ro, Pyeongtaek-si, Gyeonggi-do, 17869, Korea

Correspondence to Jungjae Lee, E-mail: jungjae.ansc@gmail.com

Volume 8, Number 4, Pages 89-95, December 2024.
Journal of Animal Breeding and Genomics 2024, 8(4), 89-95. https://doi.org/10.12972/jabng.20240401
Received on 13 September, 2024, Revised on 07 October, 2024, Accepted on 18 October, 2024, Published on 31 December, 2024.
Copyright © 2024 Korean Society of Animal Breeding and Genetics.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0).

ABSTRACT

This study investigates the genomic prediction accuracy for four carcass traits (Backfat thickness, Eye muscle area, Carcass weight and Marbling score) and one reproduction trait (Calving Interval) using customized genotyping platform (NHanwoo1) in Korean native cattle. We use 65,351 genotyped animals after the imputation with various genotyping platforms to perform genomic prediction accuracy. A 5-fold cross-validation method using K-Means clustering was employed to estimate genomic prediction accuracy. The K-Means clustering method was utilized using 142,827 pedigree data associated with the 65,351 genotypes ultimately used in the genomic analysis. Genomic prediction accuracies based on BayesC with fixed Pi value of 0.99 were estimated with the results of carcass weight at 0.722, eye muscle area at 0.711, backfat thickness at 0.594, marbling score at 0.642, and calving interval at 0.626. Based on these results of high genomic prediction accuracy, it is suggested that blending the Estimated Breeding Values (EBV) derived from BLUP methods with the MBVs derived from SNP marker effects can produce an integrated genomic estimated breeding value (GEBV) with high reliability for five economic traits in Hanwoo.

KEYWORDS

Genotyping platform, Genomic Prediction Accuracy, Bayesian, GEBV, Hanwoo

ACKNOWLEDGEMENTS

본 결과물은 농림축산식품부 및 과학기술정보통신부, 농촌진흥청의 재원으로 농림식품기술기획평가원과 재단법인 스마트팜연구개발사업단의 스마트팜다부처패키지혁신기술개발사업의 지원을 받아 연구되었음(421022-04)

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