Choy, Y.H.
(Hwang National Institute of Animal Science)
,
Lee, C.W.
(Gangwon Provincial Livestock Research Center)
,
Kim, H.C.
(Hwang National Institute of Animal Science)
,
Choi, S.B.
(Hwang National Institute of Animal Science)
,
Choi, J.G.
(Hwang National Institute of Animal Science)
,
Hwang, J.M.
(Hwang National Institute of Animal Science)
Carcass characteristics data of Hanwoo (N = 1,084) were collected from two stations of the National Livestock Institute of Animal Science (NIAS), Korea and records from thirteen individual cow-calf operators were analyzed to estimate variance and covariance components and the effect of different sla...
Carcass characteristics data of Hanwoo (N = 1,084) were collected from two stations of the National Livestock Institute of Animal Science (NIAS), Korea and records from thirteen individual cow-calf operators were analyzed to estimate variance and covariance components and the effect of different slaughter endpoints. Carcass traits analyzed were cold carcass weight (CWT, kg), REA (rib eye area, cm2), back fat thickness (mm) and marbling score (1-7). Four different models were examined. All models included sex and contemporary group as fixed effects and the animal's direct genetic potential and environment as random effects. The first model fitted a linear covariate of age at slaughter. The second model fitted both linear and quadratic covariates of age at slaughter. The third model fitted a linear covariate of body weight at slaughter. The fourth model fitted both linear covariates of age at slaughter and body weight at slaughter. Variance components were estimated using the REML procedure with Gibb's sampler. Heritability estimate of CWT was in the range of 0.08-0.11 depending on the model applied. Heritability estimates of BF, REA and MS were in the ranges of 0.23-0.28, 0.19-0.26, and 0.44-0.45, respectively. Genetic correlations between CWT and BF, between CWT and REA, and between CWT and MS were in the ranges of -0.33 - -0.14, 0.73-0.84, and -0.01- 0.11, respectively. Genetic correlations between REA and BF, between MS and BF and between REA and MS were in the ranges of -0.82 ~ -0.72, 0.04~0.28 and -0.08 ~ -0.02, respectively. Variance and covariance components estimated varied by model with different slaughter endpoints. Body weight endpoint was more effective for direct selection in favor of yield traits and body weight endpoints affected more of the correlated response to selection for the traits of yield and quality of edible portion of beef.
Carcass characteristics data of Hanwoo (N = 1,084) were collected from two stations of the National Livestock Institute of Animal Science (NIAS), Korea and records from thirteen individual cow-calf operators were analyzed to estimate variance and covariance components and the effect of different slaughter endpoints. Carcass traits analyzed were cold carcass weight (CWT, kg), REA (rib eye area, cm2), back fat thickness (mm) and marbling score (1-7). Four different models were examined. All models included sex and contemporary group as fixed effects and the animal's direct genetic potential and environment as random effects. The first model fitted a linear covariate of age at slaughter. The second model fitted both linear and quadratic covariates of age at slaughter. The third model fitted a linear covariate of body weight at slaughter. The fourth model fitted both linear covariates of age at slaughter and body weight at slaughter. Variance components were estimated using the REML procedure with Gibb's sampler. Heritability estimate of CWT was in the range of 0.08-0.11 depending on the model applied. Heritability estimates of BF, REA and MS were in the ranges of 0.23-0.28, 0.19-0.26, and 0.44-0.45, respectively. Genetic correlations between CWT and BF, between CWT and REA, and between CWT and MS were in the ranges of -0.33 - -0.14, 0.73-0.84, and -0.01- 0.11, respectively. Genetic correlations between REA and BF, between MS and BF and between REA and MS were in the ranges of -0.82 ~ -0.72, 0.04~0.28 and -0.08 ~ -0.02, respectively. Variance and covariance components estimated varied by model with different slaughter endpoints. Body weight endpoint was more effective for direct selection in favor of yield traits and body weight endpoints affected more of the correlated response to selection for the traits of yield and quality of edible portion of beef.
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문제 정의
The objective of this study was to estimate genetic and phenotypic variation in carcass traits of Hanwoo population composed of all different sex categories and co-relationship between them when different biological slaughter end points were plugged into genetic evaluation models in place of age of animals at slaughter.
제안 방법
(2003) reported significant quadratic effect of SLWT on both carcass quality and yield grades of Hanwoo. However, this study focus on estimation of genetic relationship between component traits of those carcass grades, only linear function of SLWT only was applied.
대상 데이터
Another was “Detection of QTL and Development of Its' Application in Hanwoo Cattle” funded by Biogreen21 research funds of RDA as a cooperation party with Hankyong National University. Data from Hanwoo Experiment Station of NIAS were provided through this project. Authors wish to present thanks to RDA for funding and two research stations for their endeavors to collect and provide data.
A total of 1,084 records of carcass measures were analyzed. Data were collected from two test stations of the National Institute of Animal Science (NIAS), Korea and thirteen individual Hanwoo cow-calf operators that participate in Hanwoo nucleus herd program directed by the NIAS. Hanwoo’s slaughtered with records were of three different sexes, bulls, steers and cows.
이론/모형
Estimation of genetic and environmental variances (and co-variances) of (and between) carcass traits were performed with multiple trait Gibb’s sampling to animal models variance component estimation procedure (MTGSAM version 1.11) developed by Van Tassell and Van Vleck (1995 http://aipl.arsusda.gov/curtvt/mtgsam.html) .
성능/효과
Phenotypic and environmental co-variances and their correlation coefficients between CWT and REA were also similar between models. And the genetic co-variances (Table 2) and their correlation coefficients (Table 6) from Models 2 and 4 were higher than those from Models 1 and 3. Phenotypic co-variances between CWT and MS were small and their correlation coefficients were low and positive. And their environmental co-variances and correlation coefficients became somewhat lower when they were regressed on body weight at slaughter in Models 3 and 4 than when only ages were involved in Models 1 and 2 (Table 7).
But if carcass measures from different sexes, bulls, heifers or cows were to be analyzed together with steers, slaughter endpoints should be carefully chosen. From the results of this study, body weight at slaughter was favored for faster selection response of carcass yields than age at slaughter endpoint. But if correlated response of fat deposition were to be of interest, body weight at slaughter endpoint would be favored.
참고문헌 (10)
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Choy, Y. H., H. B. Yoon, S. B. Choi and H. W. Chung. 2005. Genetic analysis of carcass traits in Hanwoo with different slaughter end-points. Kor. J. Anim. Sci. Technol. 47:1-8. (in English).
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