• Journal of Life Science
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• v.30 no.3
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• pp.230-238
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• 2020

Carcass traits are the most economically important traits in Hanwoo (Korean cattle). Recently, the development of the field of genomics has made it possible to identify DNA markers for the genetic evaluation of carcass and meat quality traits in beef cattle. The objective of this study was to assess the genetic effects of single nucleotide polymorphism (SNP) markers related to carcass traits by field evaluations in a commercial Hanwoo population. We evaluated 15 SNP markers (TG g.371T>C, APM1 g.1454G>A, FABP4 g.2834C>G, FABP4 g.3533T>A, FABP4 g.3691G>A, SCD g.10153A>G, SCD g.10329T >C, CPE g.601T>C, EDG1 g.166A>G, NPY g.4271T>C, GPD1 g.2766C>T, PDE1B g.17122A>G, PDE1B g.17507A>C, TNNT1 g.6650C>T, and RORC g.20152A>G) related to carcass traits in Hanwoo. Genotyping of these SNP markers was performed using PCR-RFLP analysis in Hanwoo steers (n = 1,536) to evaluate their association with carcass traits. Seven SNPs, APM1 g.1454G>, FABP4 g.3691G>A, SCD g.10153A>G, CPE g.601T>C, PDE1B g.17122A>G, TNNT1 g.6650C>T, and RORC g.20152A>G, were significantly associated with carcass traits such as marbling score (MS), backfat thickness (BF), musculus longissimus dorsi area (LDA), carcass weight (CW), meat grade (MG), meat color (MC), and maturity score (MA). The results suggest that these SNPs may be used as DNA markers for the selection of Hanwoo with higher meat quality.

• Journal of Animal Science and Technology
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• v.49 no.5
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• pp.569-576
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• 2007

receptor(MC4R) gene and carcass traits was examined in randomly selected commercial pigs. A porcine MC4R gene was genotyped for Asp298Asn(nt. 892G>A) by polymerase chain reaction-restriction fragment length polymorphism(PCR-RFLP). A total of three genotypes, A/A, A/G, and G/G, were found with 28.8, 22.8, and 48.4% frequencies, respectively. In the whole population, pigs containing 892A/- showed significantly higher marbling score than those of homozygotes G/G(P<0.05). Two homozygotes, A/A and G/G showed lower in meat color score but higher in water holding capacity than those of heterozygotes A/G(P<0.01). However, the carcass weight of the barrows containing wild type -/G was significantly higher(i.e. more than 2.5kg) than those of homozygotes A/A(P<0.05). The effects of each genotype on carcass traits in the gilts were similar to those of the whole population, but not in barrows, suggesting an unknown sex-related effect on carcass traits. This study suggested that the genotype MC4R A/- could improve the meat quality in the commercial pig production. However, since the genetic polymorphism of MC4R gene differentially affected the carcass traits in sex-related manner, therefore, both parameters, the sex and genotype, should be considered for marker-assisted selection in commercial pig production.

• 종축개량
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• v.20 no.6
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• pp.72-83
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• 1998

• Journal of Animal Science and Technology
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• v.49 no.6
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• pp.689-698
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• 2007

This study aims to estimate the genetic parameters for carcass traits on Hanwoo of breeding farmhouses using Animal Products Grading Service’s data of 428,812 cattle from 101 slaughterhouses nationwide from 2000 to 2005. Using carcass traits of carcass weight, eye muscle area, backfat thickness, marbling score, meat color and fat color that greatly influence Hanwoo's grade, the effects of carcass year, carcass season, sex and carcass region were estimated. Based upon carcass traits of carcass weight, eye muscle area, backfat thickness, marbling score and meat color that greatly influence Hanwoo’s grade, the heritabilities and genetic parameters were estimated of 17,578 Hanwoo slaughtered in 2005 with existing herdbook, where EM-REML algorithm was used in estimating genetic parameters. The mean and standard deviation of each carcass trait are 321.42±53.62kg, 76.25±10.43cm2, 9.96± 4.14mm, 3.75±2.00, 4.83±0.48 and 2.99±0.40, for carcass weight, eye muscle area, backfat thickness, marbling score, meat color and fat color, respectively. As a result of analysis on the effects of carcass year, the carcass weight, backfat thickness and meat color came out highest as 359.40±0.181, 9.82±0.017 and 4.90±0.002, respectively in 2004. As a result of analysis on the effects of carcass season, the carcass weight and eye muscle area came out highest as 345.88±0.144 and 79.57±0.033 respectively in spring, and the backfat thickness was highest as 8.78±0.013 in winter, and the meat color and fat color slightly came out higher as 4.88±0.002 and 2.96±0.001 in fall, while the marbling score was highest as 3.29±0.006 in summer. The results of the analysis on the effects of sex indicated that the backfat thickness and fat color were highest as 10.53±0.010 and 3.07±0.001 in cow, the carcass weight came out highest in Hanwoo steer as 368.03±0.068kg, the eye muscle area were highest as 82.96±0.042 in bull, and the marbling score was highest as 4.19±0.007 in steer, and the meat color was highest as 4.89±0.001 in cow. Regarding the results of analysis on the effects of carcass region, the carcass weight, eye muscle area,

• Journal of agriculture & life science
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• v.51 no.2
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• pp.117-126
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• 2017

Hanwoo young bulls are selected based on performance test using the weight at 12 months and pedigree index comprising marbling score. Pedigree index was not based on the progeny tested data but the breeding value of the proven bulls; resulting a lower accuracy. The progeny testing of the young bulls was categorized into testing at farm and at the test station. The farm tested data was difficult to compare with those from test station data. Farm tested bulls had different slaughter ages than those for test station bulls. Therefore, this study had considered a different age at slaughter for respective records on ultrasound traits. Records on body weight at 12 months, ultrasound measures at 12 and 24 months(uIMF, uEMA, uBFT, and uRFT), and carcass traits(CWT, EMA, BFT, and MS) were collected from steers and bulls of Hanwoo national improvement scheme between 2008 and 2013. Fixed effects of batch, test date, test station, personnel for measurement, personnel for judging, and a linear covariate of weight at measurement were fitted in the animal models for ultrasound traits. The ranges of heritability estimates of the ultrasound traits at 12 and 24 months were 0.21-0.43 and 0.32-0.47, respectively. Ultrasound traits at 12 and 24 months between similar carcass traits was genetically correlated at 0.52-0.75 and 0.86-0.89, respectively.

• Journal of Animal Science and Technology
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• v.55 no.5
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• pp.351-358
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• 2013

This study was conducted to estimate the correlation structure between body size traits, carcass traits, and primal cuts in Hanwoo steers. Hanwoo progeny test data (body weight and body measurements) were collected from 2008 to 2010 from a total of 882 steers at the Hanwoo Improvement Main Center (NACF). Carcass traits considered were cold carcass weight, eye muscle area, backfat thickness, and marbling scores evaluated at the time of carcass grading. Correlation analyses were performed with observed scales of the traits and with residuals considering fixed environmental effects in generalized linear models. The correlation coefficient estimated between loin weight and chest girth was high at 0.74. The shank negatively correlated with pelvic width (-0.23) and hipbone width (-0.27). In addition, rib weight and chest girth was highly correlated (0.80). The correlation between carcass weight and chest girth was 0.86 in observed scale. Residual correlation between these traits was estimated at 0.65. Correlation between carcass weight and loin was 0.87 in the observed scale. Residual correlation was estimated at 0.83. The correlation coefficient estimated between shank weight and brisket and flank weight was negative at -0.69. Chest girth had a high correlation between primal cuts weight and body measurements. Thus, we believe that these results will provide a greater understanding on the relationship of primal cuts and other phenotypes, thus enabling valid production models for Hanwoo steers.

• Journal of Animal Science and Technology
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• v.44 no.6
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• pp.685-692
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• 2002

This study was carried out to estimate the genetic correlations for the carcass and growth traits of Hanwoo bulls measured at 12 and 18 months of age on the basis of the data form 1,823 heads of Hanwoo bulls raised at the Livestock Improvement Main Center from 1991 to 1998. Genetic correlations were estimated with multiple trait animal model using MTDFREML. The genetic correlations of the body weight at 12 months with average daily gain during 6${\sim}$12 months and with the body length were 0.76 and 0.79, respectively. The genetic correlations of the body weight at 18 months with average daily gain during 6${\sim}$18 months and with the body length were 0.86 and 0.82, respectively. The genetic correlations of the carcass weight with dressing percent, eye muscle area, backfat thickness and carcass length were 0.39, 0.37, 0.44 and 0.63, respectively. And estimate of 0.36 was obtained for the genetic correlation between backfat thickness and marbling score. The high and positive genetic correlations of 0.71 and 0.96 were estimated for the carcass weight with the body weights at 12 and 18 months. The genetic correlations of the carcass weight with body lengths at 12 and 18 months were 0.63 and 0.75, respectively. Positive genetic correlations were estimated for the dressing percentage with the body weight, average daily gain, body length, thurls width and chest girth. Low genetic correlations were estimated between eye muscle area and the growth traits ranging from -0.07 to 0.32. Dressing percentage was low correlated genetically with the growth traits except for the chest girth at 18 months. The genetic correlation between marbling score and chest girth at 18 months estimated was 0.25.

• Journal of Animal Science and Technology
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• v.48 no.6
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• pp.759-766
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• 2006

This study was conducted to investigate the genetic correlations among the traits used to select young bulls and proven bulls in Hanwoo Performance and Progeny Test Program in Korea. For the estimation of heritabilities and correlations among the growth traits of bulls and carcass traits of progeny steers, 2,532 records of performance tested bull calves and 1,819 records of progeny tested steers were collected from Livestock Improvement Main Center (LIMC), National Agricultural Cooperative Federation (NACF). Fixed effects of mixed model for each traits were selected by using stepwise regression analysis and prior values of variance components were estimated by MTDFREML. The prior values of variance components were estimated with pairwise 2 traits model followed by single trait analysis. The estimated heritability of backfat thickness(BF), dressing percentage(DP), loin-eye muscle area(LMA), marbling score(MS) and weight at 12 months(WT12) was 0.51, 0.32, 0.27, 0.33, 0.50 and 0.26, respectively. Genetic correlation of WT12 of bull calves with backfat thickness, carcass weight and loin-eye muscle area of steers was positive correlation as 0.05, 0.35 and 0.21, respectively. However genetic correlation of WT12 with DP and MS showed negative correlation as 󰠏0.09 and 󰠏0.27, respectively and these negative genetic correlations implies that bulls that may be superior in carcass traits can be lost at the first step of selection and current selection method should be modified to solve this problem.

• Journal of Animal Science and Technology
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• v.49 no.2
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• pp.177-182
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• 2007

The objective of this study was to evaluate the genetic relationship between weaning weight (WW) and carcass traits. Carcass traits were eye muscle area(EMA), back fat thickness(BFT), marbling score 1(MS1) in 21 grade scales, marbling score 2(MS2) in 7 grade scales and meat color scores(Mcolor). Parameters were estimated by REML procedure with MTDFREML package. Models included contemporary group as defined by the same year-season-sex at birth, linear covariates of age(days) at weaning, age of dam(days) and age at slaughter(days) as fixed effects and animal random effects for all the traits. Heritability estimates of WW, EMA, BFT, MS1, MS2 and Mcolor were 0.25, 0.20, 0.20, 0.32, 0.32 and 0.22, respectively. Genetic(phenotypic) correlation coefficients of WW with EMA, BFT, MS1, MS2 and Mcolor were 0.75(0.16), 0.18(0.05), －0.41(－0.09), －0.40(0.11) and －0.07(0.05), respectively. Results from this study suggest that single trait selection for weaning weight would lead to progeny population having carcass with large EMA, thick BFT and decreased MS.

• Journal of Animal Science and Technology
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• v.53 no.4
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• pp.325-332
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• 2011

This research was conducted to analyze the effects of raising farm on the heritability and breeding values of Hanwoo cows for their carcass traits, including cold carcass weight (CWT), back-fat thickness (BFT), eye-muscle area (EMA) and marbling score (MAR). The carcass data and pedigree data were collected from steers raised on Hanwoo farms in Pyeongchang-gun, Gangwon-do, South Korea. Three analytical models were applied for the estimation of heritabilities and breeding values. The first model (model 1) included slaughter house-year-month combination as fixed effects and age at slaughter was fitted as linear and quadratic covariates. The second model (model 2) was similar to model 1, but raising farm was additionally included as random effect. The third model (model 3) was similar to model 1 but farm effects were additionally included as fixed effect. The comparisons between the model 1 and the models including farm effect (model 2 and model 3) revealed that heritability estimates from model 2 or model 3 were smaller to those from model 1 for all carcass traits. Especially, obvious decrease of heritability was observed in CWT where heritability was 0.23 from model 1, 0.15 from model 2 and 0.18 from model 3. The maximum log likelihood of the model 2 and 3 were higher than those of model 1 for all traits. In model 2 that raising farm was included as a random effect, the ratio of farm variance to the total phenotypic variance were ranged from 4% (EMA) to 18% (CWT). Top 10% and bottom 10% of female cows were selected based on the breeding values from model 1, and the Spearman's rank correlation coefficients among models were estimated for each trait within selected group. The correlation coefficients were ranged from 0.57 to 0.95 in top 10% group and from 0.68 to 0.95 in bottom 10% group. These results show that the discrepancies in the rankings of breeding values can be based on the models applied. In conclusion, the results obtained in this study suggest that the herd effect or farm effect should be included in the analytical model when breeding values are estimated with the purpose of improvement of carcass traits of Hanwoo breeding cows.