Evidence map›Paper›PMID 27383803›Full record

ArticleAsian-Australasian journal of animal sciences2017

Accuracy of genomic breeding value prediction for intramuscular fat using different genomic relationship matrices in Hanwoo (Korean cattle).

Taejeong Choi, Dajeong Lim, Byoungho Park, Aditi Sharma, Jong-Joo Kim, Sidong Kim, Seung Hwan Lee

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Article in Asian-Australasian journal of animal sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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6 citing papers in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Taejeong ChoiSwine Science Division, National Institute of Animal Science, RDA, SeongHwan 31000, Korea.
Dajeong LimAnimal Genome & Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea.
Byoungho ParkSwine Science Division, National Institute of Animal Science, RDA, SeongHwan 31000, Korea.
Aditi SharmaAnimal Genome & Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea.
Jong-Joo KimSchool of Biotechnology, Yeungnam University, Daegu 38541, Korea.
Sidong KimSwine Science Division, National Institute of Animal Science, RDA, SeongHwan 31000, Korea.
Seung Hwan LeeDivision of Animal & Dairy Science, Chungnam National University, Daejeon 34134, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIntramuscular fat is one of the meat quality traits that is considered in the selection strategies for Hanwoo (Korean cattle). Different methods are used to estimate the breeding value of selection candidates. In the present work we focused on accuracy of different genotype relationship matrices as described by forni and pedigree based relationship matrix.

methodsThe data set included a total of 778 animals that were genotyped for BovineSNP50 BeadChip. Among these 778 animals, 72 animals were sires for 706 reference animals and were used as a validation dataset. Single trait animal model (best linear unbiased prediction and genomic best linear unbiased prediction) was used to estimate the breeding values from genomic and pedigree information.

resultsThe diagonal elements for the pedigree based coefficients were slightly higher for the genomic relationship matrices (GRM) based coefficients while off diagonal elements were considerably low for GRM based coefficients. The accuracy of breeding value for the pedigree based relationship matrix (A) was 13% while for GRM (GOF, G05, and Yang) it was 0.37, 0.45, and 0.38, respectively.

conclusionAccuracy of GRM was 1.5 times higher than A in this study. Therefore, genomic information will be more beneficial than pedigree information in the Hanwoo breeding program.

Indexed as

Genomic Relationship MatrixGenomic SelectionIntramuscular Fat

Identifiers

PMID27383803
PMCPMC5495667

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