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Estimation of genetic parameters and accuracy of genomic prediction for production traits in Duroc pigs

Author

Listed:
  • Bryan Irvine Lopez

    (Department of Animal Science and Technology, Sunchon National University, Suncheon, Republic of Korea)

  • Vanessa Viterbo

    (Department of Animal Science and Technology, Sunchon National University, Suncheon, Republic of Korea
    Department of Animal Science, College of Agriculture, Central Luzon State University, Science City of Muńoz, Republic of the Philippines)

  • Choul Won Song

    (Department of Animal Science and Technology, Sunchon National University, Suncheon, Republic of Korea)

  • Kang Seok Seo

    (Department of Animal Science and Technology, Sunchon National University, Suncheon, Republic of Korea)

Abstract

Genetic parameters and accuracy of genomic prediction for production traits in a Duroc population were estimated. Data were on 24 828 purebred Duroc pigs born in 2000-2016. After quality control procedures, 30 263 single nucleotide polymorphism markers and 560 animals remained that were used to predict the genomic breeding values of individuals. Accuracies of predicted breeding values for average daily gain (ADG), backfat thickness (BF), loin muscle area (LMA), lean percentage (LP) and age at 90 kg (D90) between pedigree-based and single-step methods were compared. Analyses were carried out with a multivariate animal model to estimate genetic parameters for production traits while univariate analyses were performed to predict the genomic breeding values of individuals. Heritability estimates from pedigree analysis were moderate to high. Heritability estimates and standard error for ADG, BF, LMA, LP and D90 were 0.35 ± 0.01, 0.35 ± 0.11, 0.24 ± 0.04, 0.42 ± 0.11 and 0.37 ± 0.03, respectively. Genetic correlations of ADG with BF and LP were low and negative. Genetic correlations of LMA with ADG, BF, LP and D90 were -0.37, -0.27, 0.48 and 0.31, respectively. High correlations were observed between ADG and D90 (-0.98), and also between BF and LP (-0.93). Accuracies of genomic breeding values for ADG, BF, LMA, LP and D90 were 0.30, 0.33, 0.38, 0.40 and 0.28, respectively. Corresponding accuracies using pedigree-based method were 0.29, 0.32, 0.38, 0.39 and 0.27, respectively. The results showed that the single-step method did not show significant advantage compared to the pedigree-based method.

Suggested Citation

  • Bryan Irvine Lopez & Vanessa Viterbo & Choul Won Song & Kang Seok Seo, 2019. "Estimation of genetic parameters and accuracy of genomic prediction for production traits in Duroc pigs," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 64(4), pages 160-165.
    • Handle: RePEc:caa:jnlcjs:v:64:y:2019:i:4:id:150-2018-cjas
    DOI: 10.17221/150/2018-CJAS
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    References listed on IDEAS

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    1. Guosheng Su & Ole F Christensen & Tage Ostersen & Mark Henryon & Mogens S Lund, 2012. "Estimating Additive and Non-Additive Genetic Variances and Predicting Genetic Merits Using Genome-Wide Dense Single Nucleotide Polymorphism Markers," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-7, September.
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