Evaluation of genomic prediction considering non-additive genetic effects on fatty acid traits of Japanese Black cattle

Evaluation of genomic prediction considering non-additive genetic effects on fatty acid traits of Japanese Black cattle

Genomic prediction was conducted using 2494 Japanese Black cattle from Hiroshima Prefecture and both single-nucleotide polymorphism information and phenotype data on monounsaturated fatty acid (MUFA) and oleic acid (C18:1) analyzed with gas chromatography. We compared the prediction accuracy for fou...

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Bibliographic Details
Published in:Animal science journal Vol. 95; no. 1; p. e13978
Main Authors: Oyama, Hidemi, Nishio, Motohide, Shibata, Eri, Takemyo, Hinaka, Ichinoseki, Kasumi, Ishii, Kazuo
Format: Journal Article
Language:English
Published: Australia 01-01-2024
Subjects:
Animals
Bayes Theorem
Cattle - genetics
Cattle - metabolism
Fatty Acids - analysis
Fatty Acids - metabolism
Fatty Acids, Monounsaturated - analysis
Fatty Acids, Monounsaturated - metabolism
Genomics
Homozygote
Models, Genetic
Oleic Acid - analysis
Phenotype
Polymorphism, Single Nucleotide
Quantitative Trait, Heritable
Japanese Black cattle
prediction accuracy
non‐additive genetic effects
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Summary:Genomic prediction was conducted using 2494 Japanese Black cattle from Hiroshima Prefecture and both single-nucleotide polymorphism information and phenotype data on monounsaturated fatty acid (MUFA) and oleic acid (C18:1) analyzed with gas chromatography. We compared the prediction accuracy for four models (A, additive genetic effects; AD, as for A with dominance genetic effects; ADR, as for AD with the runs of homozygosity (ROH) effects calculated by ROH-based relationship matrix; and ADF, as for AD with the ROH-based inbreeding coefficient of the linear regression). Bayesian methods were used to estimate variance components. The narrow-sense heritability estimates for MUFA and C18:1 were 0.52-0.53 and 0.57, respectively; the corresponding proportions of dominance genetic variance were 0.04-0.07 and 0.04-0.05, and the proportion of ROH variance was 0.02. The deviance information criterion values showed slight differences among the models, and the models provided similar prediction accuracy.
ISSN:1344-3941
1740-0929
DOI:10.1111/asj.13978