Browse > Article
http://dx.doi.org/10.5713/ajas.2010.90555

Genetic Relationship between Carcass Traits and Carcass Price of Korean Cattle  

Kim, Jong-Bok (College of Animal Resource Science, Kangwon National University)
Kim, Dae-Jung (College of Animal Resource Science, Kangwon National University)
Lee, Jeong-Koo (College of Animal Resource Science, Kangwon National University)
Lee, Chae-Young (Department of Bioinfomatics and Life Science, Soongsil University)
Publication Information
Asian-Australasian Journal of Animal Sciences / v.23, no.7, 2010 , pp. 848-854 More about this Journal
Abstract
The objectives of this study were to estimate genetic parameters for the carcass price and carcass traits contributing to carcass grading and to investigate the influence of each carcass trait on the carcass price using multiple regression and path analyses. Data for carcass traits and carcass prices were collected from March 2003 to January 2009 on steers of Korean cattle raised at private farms. The analytical mixed animal model, including slaughter house-year-month combination, linear and quadratic slaughter age as fixed effects and random animal and residual effects, was used to estimate genetic parameters. The effects of carcass traits on the carcass price were evaluated by applying multiple regression analyses. Heritability estimates of carcass traits were $0.20{\pm}0.08$ for carcass weight (CWT), $0.33{\pm}0.10$ for back fat thickness (BFT), $0.07{\pm}0.05$ for eye-muscle area (EMA) and $0.25{\pm}0.10$ for marbling score (MS), and those of carcass prices were $0.21{\pm}0.10$ for auction price per 1 kg of carcass weight (AP) and $0.13{\pm}0.07$ for total price (CP). Genetic correlation coefficients of AP with CWT and MS were $-0.35{\pm}0.29$ and $0.99{\pm}0.04$, respectively, and those of CP with CWT and MS were $0.59{\pm}0.22$ and $0.39{\pm}0.29$ respectively. If an appropriate adjustment for temporal economic value is available, the moderate heritability estimates of AP and CP might suggest their potential use as the breeding objectives for improving the gross incomes of beef cattle farms. The large genetic correlation estimates of carcass price variables with CWT and MS implied that simultaneous selection for both CWT and MS would be also useful in enhancing income.
Keywords
Carcass Price; Carcass Trait; Heritability; Multiple Regression; Path Analyses;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
Times Cited By Web Of Science : 3  (Related Records In Web of Science)
Times Cited By SCOPUS : 4
연도 인용수 순위
1 Osawa, T., K. Kuchida, S. Hidaka and T. Kato. 2008. Genetic parameters for image analysis traits on M. longissimus thoracis and M. trapezius of carcass cross section in Japanese Black cattle. J. Anim. Sci. 86:40-46.
2 Pariacote, F., L. D. Van Vleck and R. E. Hunsley. 1998. Genetic and phenotypic parameters for carcass traits of American Shorthorn beef cattle. J. Anim. Sci. 76:2584-2588.
3 Pyatt, N. A., L. L. Berger, D. B. Faulkner, P. M. Walker and S. L. Rodriguez-Zas. 2005. Factors affecting carcass value and profitability in early-weaned Simmental steer: I. Five-year average pricing. J. Anim. Sci. 83:2918-2925.
4 Riley, D. G., C. C. Chase, Jr, A. C. Hammond, R. L. West, D. D. Johnson, T. A. Olson and S. W. Coleman. 2002. Estimated genetic parameters for carcass traits of Brahman cattle. J. Anim. Sci. 80:955-962.
5 Rios-Utrera, A., L. V. Cundiff, K. E. Gregory. R. M. Koch, M. E. Dikeman, M. Koohmaraie and L. D. Van Vleck. 2005. Genetic analysis of carcass traits of steers adjusted to age, weight, or fat thickness slaughter endpoints. J. Anim. Sci. 83:764-776.
6 Rumph, J. M., W. R. Shafer, D. H. Crews, Jr, R. M. Enns, R. J. Lipsey, R. L. Quaas and E. J. Pollak. 2007. Genetic evaluation of beef carcass data using different endpoint adjustment. J. Anim. Sci. 85:1120-1125.   DOI   ScienceOn
7 Smith, T., J. D. Domingue, J. C. Paschal, D. E. Franke, T. D. Bidner and G. Whipple. 2007. Genetic parameters for growth and carcass traits of Brahman steers. J. Anim. Sci. 85(6):1377-1384.   DOI   ScienceOn
8 Van Vleck, L. D., L. V. Cundiff, T. L. Wheeler, S. D. Shackelford and M. Koohmaraie. 2007. Across-breed adjustment factors for expected progeny differences for carcass traits. J. Anim. Sci. 85:1369-1376.   DOI   ScienceOn
9 Wilson, D. E., R. L. Willham, S. L. Northcutt and G. H. Rouse. 1993. Genetic parameters for carcass traits estimated from Angus field records. J. Anim. Sci. 71:2365-2370.
10 Kim, N. S., J. J. Lee and J. C. Ju. 2006. Estimation of genetic parameter for carcass traits according to MTDFREML and Gibbs sampling in Hanwoo (Korean cattle). J. Anim. Sci. Technol. (Kor.). 48(3):337-344 (In Korean).   과학기술학회마을   DOI   ScienceOn
11 Koots, K. R., J. P. Gibson, C. Smith and J. W. Wilton. 1994. Analyses of published genetic parameter estimates for beef production traits. 1. Heritability. Anim. Breed. Abstr. 62:309-308.
12 Lynch, M. and B. Walsh. 1998. Genetics and analysis of quantitative traits. Sinauer Associates, Inc., Sunderland, MA.
13 Meyer, K. 2006. WOMBAT - A program for mixed model analyses by restricted maximum likelihood. User notes. Animal Genetics and Breeding Unit, Armidale.
14 Ministry for Food, Agriculture, Forestry and Fisheries. 2008. The goals for animal improvement. Official announcement 2008-16. (In Korean).
15 Oikawa, T., M. A. Hoque, T. Hitomi, K. Suzuki and H. Uchida. 2006. Genetic parameters for traits in performance and progeny tests and their genetic relationships in Japanese Black cattle. Asian-Aust. J. Anim. Sci. 19:611-616.   과학기술학회마을   DOI
16 Ministry for Food, Agriculture, Forestry and Fisheries. 2007. The Grading standards for livestock products. Official announcement 2007-20. (In Korean).
17 Moon, W. G., B. W. Kim, S. H. Roh, H. S. Kim, D. J. Jung, D. W. Sun, K. N. Kim, Y. T. Yoon, J. H. Jung, J. T. Jeon and J. G. Lee. 2007. Estimation of environmental effect and genetic parameters for the carcass traits in Hanwoo (Korean cattle). J. Anim. Sci. Technol. (Kor.). 49(6):689-698 (In Korean).   과학기술학회마을   DOI   ScienceOn
18 Mukai, F., K. Oyama and S. Kohno. 1995. Genetic relationships between performance test traits and field carcass traits in Japanese Black cattle. Livest. Prod. Sci. 44:199-205.   DOI   ScienceOn
19 Galli, I., G. Teira, F. Perlo, P. Bonato, O. Tisocco, A. Monje and S. Vittone. 2008. Animal performance and meat quality in cull cows with early weaned calves in Argentina. Meat Sci. 79:521-528.   DOI   ScienceOn
20 Hassen, A., D. E. Wilson and G. H. Rouse. 1999. Evaluation of carcass, live, and real-time ultrasound measures in feedlot cattle: I. Assessment of sex and breed effects. J. Anim. Sci. 77:273-282.
21 Hirooka, H., Ab F. Groen and M. Matsumoto. 1996. Genetic parameters for growth and carcass traits in Japanese Brown cattle estimated from field records. J. Anim. Sci. 74:2112-2116.
22 Hwang, J. M., S. Kim, Y. H. Choy, H. B. Yoon and C. J. Park. 2008. Genetic parameter estimation of carcass traits of Hanwoo steer. J. Anim. Sci. Technol. (Kor.). 50(5):613-620 (In Korean).   과학기술학회마을   DOI   ScienceOn
23 Kim, J. B., C. Lee, T. Tsuyuki, T. Shimogiri, S. Okamoto and Y. Maeda. 2006. Sire-maternal grandsire model and sire model in estimation of genetic parameters for average daily gain and carcass traits of Japanese Black cattle. Asian-Aust. J. Anim. Sci. 19:1678-1684.   과학기술학회마을   DOI
24 Ibi, T., A. K. Kahi and H. Hirooka. 2006. Effect of carcass price fluctuations on genetic and economic evaluation of carcass traits in Japanese Black cattle. J. Anim. Sci. 84:3204-3211.   DOI   ScienceOn
25 Kahi, A. K., T. Oguni, Y. Sumio and H. Hirooka. 2007. Genetic relationships between growth and carcass traits and profitability in Japanese Brown cattle. J. Anim. Sci. 85:348-355.   DOI   ScienceOn
26 Kemp, D. J., W. O. Herring and C. J. Kaiser. 2002. Genetic and environmental parameters for steer ultrasound and carcass traits. J. Anim. Sci. 80:1489-1496.
27 Engellandt, Th., N. Reinsch, H. J. Schild and E. Kalm. 1999. Genetic parameters from two different field testing schemes for beef traits of German Gelbvieh finishing bulls. Livest. Prod. Sci. 60:219-228.   DOI   ScienceOn