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Estimation of environmental effects and genetic parameters of carcass traits on Chikso (Korean brindle cattle)

  • Park, Byoungho (National Institute of Animal Science, RDA) ;
  • Choi, Tae Jeong (National Institute of Animal Science, RDA) ;
  • Park, Mi Na (National Institute of Animal Science, RDA) ;
  • Oh, Sang-Hyon (Department of Agriculture, Food, and Resource Sciences, University of Maryland Eastern Shore)
  • Received : 2019.02.17
  • Accepted : 2019.07.16
  • Published : 2020.04.01

Abstract

Objective: The purpose of this study was i) to identify the characteristics of carcass traits in Chikso by gender, region, age at slaughter, and coat color using the carcass data collected from the nationwide pedigree information and coat color investigation, and ii) to estimate genetic parameters for breed improvement. Methods: A linear model was used to analyze the environmental effects on the carcass traits and to estimate genetic parameters. Analysis of variance was performed using TYPE III sum of squares for the unbalanced data provided by the general linear model procedure. Variance components for genetic parameters was estimated using REMLF90 of the BLUPF90 family programs. Results: Phenotypic performance of carcass weight (CW), eye muscle area (EMA), and backfat thickness (BF) in Chikso were lower than those of Hanwoo. This is a natural outcome because Hanwoo have undergone significant efforts for improvement at the national level, a phenomenon not observed in Chikso. Another factor influencing the above outcome was the smaller population size of Chikso compared to that of Hanwoo's. The heritabilities of CW, EMA, BF, and marbling score in Chikso were estimated as 0.50, 0.37, 0.35, and 0.53, respectively, which were was higher than those of Hanwoo. Conclusion: Based on the genetic parameters that were estimated in this study, it is expected that the carcass traits will improve when the livestock research institutes at each province conduct small-scale performance tests and the semen is provided to farmers after selecting proven bulls using the state-of-art selection technique such as genomic selection.

Keywords

References

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