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

Estimation of Genomic Breeding Value using gBLUP model in ASREML : Practice of ASREML, PLINK, GCTA and R

Division of Animal and Dairy Science, Chungnam National University

Correspondence to Seung-Hwan Lee, E-mail: slee46@cnu.ac.kr

Volume 4, Number 1, Pages 5-16, March 2020.
Journal of Animal Breeding and Genomics 2020, 4(1), 5-16. https://doi.org/10.12972/jabng.20200002
Received on 17 January, 2020, Revised on 20 March, 2020, Accepted on 30 March, 2020, Published on March 31, 2020.
Copyright © 2020 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

Genomic information is now useful to identify quantitative trait loci (QTL) which is associated with economic traits as well as to predict genetic potential for individual in Animal Breeding Industry. Especially, genomic BLUP (gBLUP) is one of the useful model to estimate genomic breeding value (gEBV) with genomic relationship matrix (GRM). Genomic relationship matrix will be estimated from genomic information such as single nucleotide polymorphism (SNP) which is similar to numeric relationship matrix estimated from pedigree information used in traditional BLUP. The matrix defines the genetic covariance between individuals based on observed similarity using genomic information, rather than on expected genetic similarity from pedigree. Therefore, gBLUP would be given to better prediction accuracy in livestock breeding.

KEYWORDS

Genomic Prediction, gBLUP, Genomic Relationship Matrix (GRM), Genomic Estimated Breeding Value (gEBV)

ACKNOWLEDGEMENTS

본 연구논문은 농촌진흥청 차세대 바이오그린21사업(PJ011842012017)으로부터 연구비를 지원받아 수행하였습니다. 연구비 지원에 감사드립니다.

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