Evidence map›Paper›PMID 37170517›Full record

ArticleAnimal bioscience2023

Comparison on genomic prediction using pedigree BLUP and single step GBLUP through the Hanwoo full-sib family.

Eun-Ho Kim, Ho-Chan Kang, Cheol-Hyun Myung, Ji-Yeong Kim, Du-Won Sun, Doo-Ho Lee, Seung-Hwan Lee, Hyun-Tae Lim

Abstract read
In one paragraph

Article in Animal bioscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Evaluation of genomic breeding values and accuracy for carcass traits in Korean Hanwoo cows using whole-genome SNP chip panels.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
  7. Efficient large-scale genomic prediction in approximate genome-based kernel model.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Eun-Ho KimDepartment of Animal Science, Gyeongsang National University, Jinju 52828, Korea.
Ho-Chan KangDepartment of Animal Science and Biotechnology, Gyeongsang National University, Jinju 52828, Korea.
Cheol-Hyun MyungDepartment of Animal Science, Gyeongsang National University, Jinju 52828, Korea.
Ji-Yeong KimDepartment of Animal Science, Gyeongsang National University, Jinju 52828, Korea.
Du-Won SunGyeongnam Animal Science and Technology, Gyeongsang National University, Jinju 52828, Korea.
Doo-Ho LeeDepartment of Animal Science and Biotechnology, Chungnam National University, Daejeon 34134, Korea.
Seung-Hwan LeeDepartment of Animal Science and Biotechnology, Chungnam National University, Daejeon 34134, Korea.
Hyun-Tae LimDepartment of Animal Science, Gyeongsang National University, Jinju 52828, Korea.

Funding

Rural Development Administration PJ0162182021
6 · The paper itself

Abstract

objectiveWhen evaluating individuals with the same parent and no phenotype by pedigree best linear unbiased prediction (BLUP), it is difficult to explain carcass grade difference and select individuals because they have the same value in pedigree BLUP (PBLUP). However, single step GBLUP (ssGBLUP), which can estimate the breeding value suitable for the individual by adding genotype, is more accurate than the existing method.

methodsThe breeding value and accuracy were estimated with pedigree BLUP and ssGBLUP using pedigree and genotype of 408 Hanwoo cattle from 16 families with the same parent among siblings produced by fertilized egg transplantation. A total of 14,225 Hanwoo cattle with pedigree, genotype and phenotype were used as the reference population. PBLUP obtained estimated breeding value (EBV) using the pedigree of the test and reference populations, and ssGBLUP obtained genomic EBV (GEBV) after constructing and H-matrix by integrating the pedigree and genotype of the test and reference populations.

resultsFor all traits, the accuracy of GEBV using ssGBLUP is 0.18 to 0.20 higher than the accuracy of EBV obtained with PBLUP. Comparison of EBV and GEBV of individuals without phenotype, since the value of EBV is estimated based on expected values of alleles passed down from common ancestors. It does not take Mendelian sampling into consideration, so the EBV of all individuals within the same family is estimated to be the same value. However, GEBV makes estimating true kinship coefficient based on different genotypes of individuals possible, so GEBV that corresponds to each individual is estimated rather than a uniform GEBV for each individual.

conclusionSince Hanwoo cows bred through embryo transfer have a high possibility of having the same parent, if ssGBLUP after adding genotype is used, estimating true kinship coefficient corresponding to each individual becomes possible, allowing for more accurate estimation of breeding value.

Indexed as

AcuuracyFull-sibGenomic SelectionGenotypeHanwoo

Identifiers

PMID37170517
PMCPMC10472147

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