DOI QR코드

DOI QR Code

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)
  • Received : 2009.11.04
  • Accepted : 2010.01.29
  • Published : 2010.07.01

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.

References

  1. 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. https://doi.org/10.1016/S0301-6226(99)00095-0
  2. 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. https://doi.org/10.1016/j.meatsci.2007.10.007
  3. 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.
  4. 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.
  5. 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). https://doi.org/10.5187/JAST.2008.50.5.613
  6. 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. https://doi.org/10.2527/jas.2005-610
  7. 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. https://doi.org/10.2527/jas.2005-657
  8. 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.
  9. 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. https://doi.org/10.5713/ajas.2006.1678
  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). https://doi.org/10.5187/JAST.2006.48.3.337
  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. Ministry for Food, Agriculture, Forestry and Fisheries. 2007. The Grading standards for livestock products. Official announcement 2007-20. (In Korean).
  16. 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). https://doi.org/10.5187/JAST.2007.49.6.689
  17. 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. https://doi.org/10.1016/0301-6226(95)00069-0
  18. 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. https://doi.org/10.5713/ajas.2006.611
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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. https://doi.org/10.2527/jas.2006-694
  25. 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. https://doi.org/10.2527/jas.2006-653
  26. 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. https://doi.org/10.2527/jas.2006-658
  27. 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.

Cited by

  1. Effect of Carcass Traits on Carcass Prices of Holstein Steers in Korea vol.26, pp.10, 1970, https://doi.org/10.5713/ajas.2013.13109
  2. Genome-wide association study reveals five nucleotide sequence variants for carcass traits in beef cattle vol.42, pp.4, 2011, https://doi.org/10.1111/j.1365-2052.2010.02156.x
  3. Effects of Raising Farm on Genetic Evaluation for Carcass Traits in Hanwoo Cows vol.53, pp.4, 2011, https://doi.org/10.5187/JAST.2011.53.4.325
  4. Association of bovine carcass phenotypes with genes in an adaptive thermogenesis pathway vol.39, pp.2, 2012, https://doi.org/10.1007/s11033-011-0880-5
  5. Fatty acid composition of beef is associated with exonic nucleotide variants of the gene encoding FASN vol.39, pp.4, 2012, https://doi.org/10.1007/s11033-011-1190-7
  6. Effects of Carcass Traits on Auction Price in Hanwoo vol.54, pp.2, 2012, https://doi.org/10.5187/JAST.2012.54.2.77
  7. Novel SNPs in the bovine ADIPOQ and PPARGC1A genes are associated with carcass traits in Hanwoo (Korean cattle) vol.40, pp.7, 2013, https://doi.org/10.1007/s11033-013-2560-0
  8. Genetic Relationships of Carcass Traits with Retail Cut Productivity of Hanwoo Cattle vol.27, pp.10, 2014, https://doi.org/10.5713/ajas.2014.14170
  9. Gene–gene interactions of fatty acid synthase (FASN) using multifactor-dimensionality reduction method in Korean cattle vol.41, pp.4, 2014, https://doi.org/10.1007/s11033-014-3050-8
  10. Estimation of genetic parameter for carcass traits in commercial Hanwoo steer vol.27, pp.3, 2016, https://doi.org/10.7465/jkdi.2016.27.3.741
  11. Detection of superior genotype of fatty acid synthase in Korean native cattle by an environment-adjusted statistical model vol.30, pp.6, 2017, https://doi.org/10.5713/ajas.16.0263
  12. Haplotypes and Sequence Variation in the Ovine Adiponectin Gene (ADIPOQ) vol.6, pp.4, 2015, https://doi.org/10.3390/genes6041230
  13. Genetic parameters for yearling weight, carcass traits, and primal-cut yields of Hanwoo cattle1 vol.93, pp.4, 2015, https://doi.org/10.2527/jas.2014-7953