Journal of Animal Science and Technology

Korean Society of Animal Sciences and Technology (한국축산학회)
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Correlation analysis of primal cuts weight, fat contents, and auction prices in Landrace × Yorkshire × Duroc pig carcasses by VCS2000

  • Youngho Lim (Department of Animal Science, Chungbuk National University) ;
  • Yunhwan Park (Department of Animal Science, Chungbuk National University) ;
  • Gwantae Kim (Department of Animal Science, Chungbuk National University) ;
  • Jaeyoung Kim (Department of Animal Science, Chungbuk National University) ;
  • Jongtae Seo (Bugyeong Pig Farmers cooperative) ;
  • Jaesik Lee (Bugyeong Pig Farmers cooperative) ;
  • Jungseok Choi (Department of Animal Science, Chungbuk National University)
  • Received : 2023.06.12
  • Accepted : 2023.07.24
  • Published : 2024.07.31
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Abstract

Currently, in pork auctions in Korea, only carcass weight and backfat thickness provide information on meat quantity, while the production volume of primal cuts and fat contents remains largely unknown. This study aims to predict the production of primal cuts in pigs and investigate how these carcass traits affect pricing. Using the VCS2000, the production of shoulder blade, loin, belly, shoulder picnic, and ham was measured for gilts (17,257 pigs) and barrows (16,365 pigs) of LYD (Landrace × Yorkshire × Duroc) pigs. Single and multiple regression analysis were conducted to analyze the relationship between the primal cuts and carcass weight. The study also examined the correlation between each primal cut, backfat thickness (1st thoracic vertebra backfat thickness, grading backfat thickness, and Multi-brached muscle middle backfat thickness), pork belly fat percentage, total fat yield, and auction price. A multiple regression analysis was conducted between the carcass traits that showed a high correlation and the auction price. After conducting a single regression analysis on the primal cuts of gilt and barrow, all coefficients of determination (R2) were 0.77 or higher. In the multiple regression analysis, the R2 value was 0.98 or higher. The correlation coefficient between the carcass weights and the auction price exceeded 0.70, while the correlation coefficients between the primal cuts and the auction prices were above 0.65. In terms of fat content, the backfat thickness of gilt exhibited a correlation coefficient of 0.70, and all other items had a correlation coefficient of 0.47 or higher. The correlation coefficients between the Forequarter, Middle, and Hindquarter and the auction price were 0.62 or higher. The R2 values of the multiple regression analysis between carcass traits and auction price were 0.5 or higher for gilts and 0.4 or higher for barrows. The regression equations between carcass weight and primal cuts derived in this study exhibited high determination coefficients, suggesting that they could serve as reliable means to predict primal cut production from pig carcasses. Elucidating the correlation between primal cuts, fat contents and auction prices can provide economic indicators for pork and assist in guiding the direction of pig farming.

Keywords

Acknowledgement

This work was supported by the Bugyeong Pig Farmers Cooperative.

References

  1. Korea Institute for Animal Products Quality Evaluation. 2021 Livestock distribution information survey report. Sejong: Korea Institute for Animal Products Quality Evaluation; 2022. 
  2. Kim GT, Kang SJ, Yoon YG, Kim HS, Lee WY, Yoon SH. Introduction of automatic grading and classification machine and operation status in Korea. Food Sci Anim Resour Ind. 2017;6:34-45. 
  3. Kim K. A study on the application of mechanical measurement data of pig carcass traits for the development of the pig industry [Ph.D. dissertation]. Cheongju: Chungbuk National University; 2023. 
  4. Kim J, Han HD, Lee WY, Wakholi C, Lee J, Jeong YB, et al. Economic analysis of the use of vcs2000 for pork carcass meat yield grading in Korea. Animals. 2021;11:1297. https://doi.org/10.3390/ani11051297
  5. Lohumi S, Wakholi C, Baek JH, Kim BD, Kang SJ, Kim HS, et al. Nondestructive estimation of lean meat yield of South Korean pig carcasses using machine vision technique. Korean J Food Sci Anim Resour. 2018;38:1109-19. https://doi.org/10.5851/kosfa.2018.e44
  6. KMTA [Korea Meat Trade Association]. Korean beef & Korean pork. Meat Trade J. 2023;93:41-56. 
  7. Jeong SG. Breeding system and shipping weight of castrated pigs. Korea Swine J. 1987;9:132-4. 
  8. Lee JH. Pig castration method and breeding management of castrated pigs. Korea Swine J. 1997;19:174-9. 
  9. NRC [National Research Council]. Nutrient requirements of swine. 11th ed. Washington, DC: The National Academies Press; 2012. 
  10. Latorre MA, Lazaro R, Valencia DG, Medel P, Mateos GG. The effects of gender and slaughter weight on the growth performance, carcass traits, and meat quality characteristics of heavy pigs. J Anim Sci. 2004;82:526-33. https://doi.org/10.2527/2004.822526x
  11. Cisneros F, Ellis M, McKeith FK, McCaw J, Fernando RL. Influence of slaughter weight on growth and carcass characteristics, commercial cutting and curing yields, and meat quality of barrows and gilts from two genotypes. J Anim Sci. 1996;74:925-33. https://doi.org/10.2527/1996.745925x
  12. White BR, Lan YH, McKeith FK, Novakofski J, Wheeler MB, McLaren DG. Growth and body composition of Meishan and Yorkshire barrows and gilts. J Anim Sci. 1995;73:738-49. https://doi.org/10.2527/1995.733738x 
  13. Martin A, Sather AP, Fredeen HT, Jolly RW. Alternative market weights for swine. II. carcass composition and meat quality. J Anim Sci. 1980;50:699-705. https://doi.org/10.2527/jas1980.504699x
  14. Hongseong Livestock Market. Carcass auction [Internet]. Hongjumeat. 2018 [cited 2022 May 10]. http://m.hongjumeat.co.kr/page/page48 
  15. Kim YH, Pork auction cost 9,999 won [Internet]. Chuksannews. 2011 [cited 2022 May 10]. http://www.chuksannews.co.kr/news/article.html?no=63769 
  16. MAFRA [Ministry of Agriculture, Food, amd Rural Affairs]. Detailed criteria for livestock product grading, Amendment No. 2020-112. 2020 [cited 2023 May 27]. https://www.law.go.kr/LSW//admRulLsInfoP.do?chrClsCd=&admRulSeq=2100000196314 
  17. Park Y, Kim K, Kim J, Seo J, Choi J. Verification of reproducibility of VCS2000 equipment for mechanical measurement of Korean Landrace×Yorkshire (F1), F1×Duroc (LYD) pig carcasses. Food Sci Anim Resour. 2023;43:553-62. https://doi.org/10.5851/kosfa.2023.e17 
  18. Park Y, Ko E, Park K, Woo C, Kim J, Lee S, et al. Correlation between the Korean pork grade system and the amount of pork primal cut estimated with AutoFom III. J Anim Sci Technol. 2022;64:135-42. https://doi.org/10.5187/jast.2021.e135
  19. Lim SW, Hwang D, Kim S, Kim JM. Relationship between porcine carcass grades and estimated traits based on conventional and non-destructive inspection methods. J Anim Sci Technol. 2022;64:155-65. https://doi.org/10.5187/jast.2021.e133
  20. Choi JS, Kwon KM, Lee YK, Joeng JU, Lee KO, Jin SK, et al. Application of AutoFom III equipment for prediction of primal and commercial cut weight of Korean pig carcasses. Asian-Australas J Anim Sci. 2018;31:1670-6. https://doi.org/10.5713/ajas.18.0240
  21. Pringle TD, Williams SE. Carcass traits, cut yields, and compositional end points in high-leanyielding pork carcasses: effects of 10th rib backfat and loin eye area. J Anim Sci. 2001;79:115-21. https://doi.org/10.2527/2001.791115x
  22. Martin AH, Fredeen HT, Weiss GM, Fortin A, Sim D. Yield of trimmed pork product in relation to weight and backfat thickness of the carcass. Can J Anim Sci. 1981;61:299-310. https://doi.org/10.4141/cjas81-038
  23. D'Souza DN, Pethick DW, Dunshea FR, Suster D, Pluske JR, Mullan B. The pattern of fat and lean muscle tissue deposition differs in the different pork primal cuts of female pigs during the finisher growth phase. Livest Prod Sci. 2004;91:1-8. https://doi.org/10.1016/j.livprodsci.2004.04.005 
  24. Jang HL, Park SY, Lee JH, Hwang MJ, Choi Y, Kim SN, et al. Comparison of fat content and fatty acid composition in different parts of Korean beef and pork. J Korean Soc Food Sci Nutr. 2017;46:703-12. https://doi.org/10.3746/jkfn.2017.46.6.703 
  25. Hoa VB, Seo HW, Seong PN, Cho SH, Kang SM, Kim YS, et al. Back-fat thickness as a primary index reflecting the yield and overall acceptance of pork meat. Anim Sci J. 2021;92:e13515. https://doi.org/10.1111/asj.13515
  26. FAO [Food and Agriculture Organization of the United Nations]. Guidelines for slaughtering, meat cutting and further processing (FAO animal production and health paper). Rome: FAO; 1991. 
  27. Di Bucchianico A. Coefficient of determination (R2). In: Ruggeri F, Kenett R, Faltin FW, editors. Encyclopedia of statistics in quality and reliability. Chichester: John Wiley & Sons; 2008. 
  28. Pulkrabek J, Pavlik J, Valis L. Pig carcass quality and pH1 values of meat. Czech J Anim Sci. 2004;49:38-42. https://doi.org/10.17221/4269-CJAS
  29. Schober P, Boer C, Schwarte LA. Correlation coefficients: appropriate use and interpretation. Anesth Analg. 2018;126:1763-8. https://doi.org/10.1213/ANE.0000000000002864 
  30. De Maddalena C, Vodo S, Petroni A, Aloisi AM. Impact of testosterone on body fat composition. J Cell Physiol. 2012;227:3744-8. https://doi.org/10.1002/jcp.24096
  31. Kaufman JM, Vermeulen A. The decline of androgen levels in elderly men and its clinical and therapeutic implications. Endocr Rev. 2005;26:833-76. https://doi.org/10.1210/er.2004-0013 
  32. MAFRA [Ministry of Agriculture, Food and Rural Affairs]. Livestock auctions are also online, leading innovation in non-face-to-face distribution [Internet]. 2021 [cited 2022 May 10]. https://www.korea.kr/briefing/pressReleaseView.do?newsId=156489300 
  33. Pulkrabek J, Pavlik J, Valis L, Vitek M. Pig carcass quality in relation to carcass lean meat proportion. Czech J Anim Sci. 2006;51:18-23. https://doi.org/10.17221/3904-cjas
  34. NFACC [National Farm Animal Care Council]. Code of practice for the care and handling of pigs. Ottawa, ON: NFACC; 2014. 
  35. Pryce JE, Coffey MP, Simm G. The relationship between body condition score and reproductive performance. J Dairy Sci. 2001;84:1508-15. https://doi.org/10.3168/jds.s0022-0302(01)70184-1