Evidence map›Paper›PMID 38271974›Full record

ArticleAnimal bioscience2024

Evaluation of accuracies of genomic predictions for body conformation traits in Korean Holstein.

Md Azizul Haque, Mohammad Zahangir Alam, Asif Iqbal, Yun Mi Lee, Chang Gwon Dang, Jong Joo Kim

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Article in Animal bioscience, 2024. 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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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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  6. Detection of Polymorphisms inAnimals : an open access journal from MDPI · 2024
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Md Azizul HaqueDepartment of Biotechnology, Yeungnam University, Gyeongsan 38541, Korea.
Mohammad Zahangir AlamDepartment of Biotechnology, Yeungnam University, Gyeongsan 38541, Korea.
Asif IqbalDepartment of Biotechnology, Yeungnam University, Gyeongsan 38541, Korea.
Yun Mi LeeDepartment of Biotechnology, Yeungnam University, Gyeongsan 38541, Korea.
Chang Gwon DangAnimal Breeding and Genetics Division, National Institute of Animal Science, Cheonan, 31000, Korea.
Jong Joo KimDepartment of Biotechnology, Yeungnam University, Gyeongsan 38541, Korea.

Funding

Rural Development Administration RS-2023-00232298
6 · The paper itself

Abstract

objectiveThis study aimed to assess the genetic parameters and accuracy of genomic predictions for twenty-four linear body conformation traits and overall conformation scores in Korean Holstein dairy cows.

methodsA dataset of 2,206 Korean Holsteins was collected, and genotyping was performed using the Illumina Bovine 50K single nucleotide polymorphism (SNP) chip. The traits investigated included body traits (stature, height at front end, chest width, body depth, angularity, body condition score, and locomotion), rump traits (rump angle, rump width, and loin strength), feet and leg traits (rear leg set, rear leg rear view, foot angle, heel depth, and bone quality), udder traits (udder depth, udder texture, udder support, fore udder attachment, front teat placement, front teat length, rear udder height, rear udder width, and rear teat placement), and overall conformation score. Accuracy of genomic predictions was assessed using the single-trait animal model genomic best linear unbiased prediction method implemented in the ASReml-SA v4.2 software.

resultsHeritability estimates ranged from 0.10 to 0.50 for body traits, 0.21 to 0.35 for rump traits, 0.13 to 0.29 for feet and leg traits, and 0.05 to 0.46 for udder traits. Rump traits exhibited the highest average heritability (0.29), while feet and leg traits had the lowest estimates (0.21). Accuracy of genomic predictions varied among the twenty-four linear body conformation traits, ranging from 0.26 to 0.49. The heritability and prediction accuracy of genomic estimated breeding value (GEBV) for the overall conformation score were 0.45 and 0.46, respectively. The GEBVs for body conformation traits in Korean Holstein cows had low accuracy, falling below the 50% threshold.

conclusionThe limited response to selection for body conformation traits in Korean Holsteins may be attributed to both the low heritability of these traits and the lower accuracy estimates for GEBVs. Further research is needed to enhance the accuracy of GEBVs and improve the selection response for these traits.

Indexed as

AccuracyBody Conformation TraitsGenomic PredictionHeritabilityKorean Holstein

Identifiers

PMID38271974
PMCPMC10915218

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.