Browse > Article
http://dx.doi.org/10.5713/ajas.19.0472

Discrimination study between carcass yield and meat quality by gender in Korean native cattle (Hanwoo)  

Kim, Do-Gyun (Department of Biosystems Machinery Engineering, Collage of Agricultural and Life Science, Chungnam National University)
Shim, Joon-Yong (Department of Biosystems Machinery Engineering, Collage of Agricultural and Life Science, Chungnam National University)
Cho, Byoung-Kwan (Department of Biosystems Machinery Engineering, Collage of Agricultural and Life Science, Chungnam National University)
Wakholi, Collins (Department of Biosystems Machinery Engineering, Collage of Agricultural and Life Science, Chungnam National University)
Seo, Youngwook (National Institute of Agricultural Sciences, Rural Development Administration)
Cho, Soohyun (Animal Products Utilization Division, National Institute of Animal Science, Rural Development Administration)
Lee, Wang-Hee (Department of Biosystems Machinery Engineering, Collage of Agricultural and Life Science, Chungnam National University)
Publication Information
Asian-Australasian Journal of Animal Sciences / v.33, no.7, 2020 , pp. 1202-1208 More about this Journal
Abstract
Objective: The aim of this study was to identify a distribution pattern of meat quality grade (MQG) as a function of carcass yield index (CYI) and the gender of Hanwoo (bull, cow, and steer) to determine the optimum point between both yield and quality. We also attempted to identify how pre- and post-deboning variables affect the gender-specific beef quality of Hanwoo. Methods: A total of 31 deboning variables, consisting of 7 pre-deboning and 24 post-deboning variables from bulls (n = 139), cows (n = 69), and steers (n = 153), were obtained from the National Institute of Animal Science (NIAS) in South Korea. The database was reconstructed to be suitable for a statistical significance test between the CYI and the MQG as well as classification of meat quality. Discriminant function analysis was used for classifying MQG using the deboning parameters of Hanwoo by gender. Results: The means of CYI according to 1+, 1, 2, and 3 of MQG were 68.64±2.02, 68.85±1.94, 68.62±5.88, and 70.99±3.32, respectively. High carcass yield correlated with low-quality grade, while high-quality meat most frequently was obtained from steers. The classification ability of pre-deboning parameters was higher than that of post-deboning parameters. Moisture and the shear force were the common significant parameters in all discriminant functions having a classification accuracy of 80.6%, 71%, and 56.9% for the bull, cow, and steer, respectively. Conclusion: This study provides basic information for predicting the meat quality by gender using pre-deboning variables consistent with the actual grading index.
Keywords
Hanwoo; Carcass Grade; Carcass Yield; Meat Quality; Discriminant Function Analysis;
Citations & Related Records
Times Cited By KSCI : 12  (Citation Analysis)
연도 인용수 순위
1 George-Evins CD, Unruh JA, Waylan AT, Marsden JL. Influence of quality classification, aging period, blade tenderization, and endpoint cooking temperature on cooking characteristics and tenderness of beef gluteus medius steaks. J Anim Sci 2004; 82:1863-7. https://doi.org/10.2527/2004.8261863x   DOI
2 Muchenje V, Dzama K, Chimonyo M, Strydom PE, Hugo A, Raats JG. Some biochemical aspects pertaining to beef eating quality and consumer health: a review. Food Chem 2009;112:279-89. https://doi.org/10.1016/j.foodchem.2008.05.103   DOI
3 Rhee MS, Wheeler TL, Shackelford SD, Koohmaraie M. Variation in palatability and biochemical traits within and among eleven beef muscles. J Anim Sci 2004;82:534-50. https://doi.org/10.2527/2004.822534x   DOI
4 Smith RL, Oltgen JW. Advanced genetics and value- based marketing. In: Cow-calf quality assurance hand book. Davis, CA, USA: University of California Cooperative Extension; 1996. p. 10-100.
5 Brethour JR. The relationship of average backfat thickness of feedlot steers to performance and relative efficiency of fat and protein retention. J Anim Sci 2004;82:3366-72. https://doi.org/10.2527/2004.82113366x   DOI
6 Lee JM, Choe JH, Park HK, et al. Effect of backfat thickness on the carcass grade factors and carcass price in Hanwoo cows and steers. Food Sci Anim Resour 2011;31:280-9. https://doi.org/10.5851/kosfa.2011.31.2.280   DOI
7 Kim DJ, Lee CW, Lee CY, Kim JB. The influence of carcass traits on carcass price in mature Hanwoo cow. J Anim Sci Technol 2010;52:157-64. https://doi.org/10.5187/JAST.2010. 52.2.157   DOI
8 Kim BS, Lee YE. Effect of antioxidant on quality of ground beef during the refrigeration storage. Korean J Food Nutr 2011:24:422-33. https://doi.org/10.9799/ksfan.2011.24.3.422   DOI
9 Sun DW, Kim BW, Park JC, Lee JG. Effects of carcass traits on auction price in Hanwoo. J Anim Sci Technol 2012;54:77-82. https://doi.org/10.5187/JAST.2012.54.2.77   DOI
10 Kim HK, Sun DW, Lim HT, Kong IK, Lee JG. Trend on contribution of carcass trait influencing price in Hanwoo steer. J Agric Life Sci 2017;51:119-25. https://doi.org/10.14397/jals. 2017.51.6.119   DOI
11 Shim JY, Kim HY, Cho BK, et al. Multivariate analysis of deboning data for classifying Hanwoo (Korean native cattle) by gender. Curr Sci 2018;114:1075-82. https://doi.org/10.18520/cs/v114/i05/1075-1082   DOI
12 Afifi A, May S, Clark VA. Practical multivariate analysis. 5th ed. Boca Raton, FL, USA: CRC Press; 2011.
13 Lee JM, Choe JH, Oh MH, et al. Effect of sex on quality grade factors, physicochemical and sensory traits of longissimus dorsi in Hanwoo. Food Sci Anim Resour 2010;30:321-7. https://doi.org/10.5851/kosfa.2010.30.2.321   DOI
14 Cho SH, Seo G, Kim DH, Kim JH. Palatability grading analysis of Hanwoo beef using sensory properties and discriminant analysis. Food Sci Anim Resour 2009;29:132-9. https://doi.org/10.5851/kosfa.2009.29.1.132   DOI
15 Lim C, Son H, Hong E, Noh BS. Discrimination of geographical origin of beef using electronic nose based on mass spectrometer. Korean J food Sci Technol 2008;40:717-20.
16 Li J, Tan J, Shatadal P. Classification of tough and tender beef by image texture analysis. Meat Sci 2001;57:341-6. https://doi.org/10.1016/S0309-1740(00)00105-4   DOI
17 Lee JM, Choe JH, Jin HJ, et al. Effect of marbling score on carcass grade factors, physico-chemical and sensory traits of M. Longissimus Dorsi in Hanwoo. Food Sci Anim Resour 2012;32:659-68. https://doi.org/10.5851/kosfa.2012.32.5.659   DOI
18 Lee YJ, Kim CJ, Park BY, et al. Warner-Bratzler shear force, sarcomere length, total collagen contents and sensory characteristics of Hanwoo beef (Korean native cattle) quality grade. Food Sci Anim Resour 2009;29:726-35. https://doi.org/10.5851/kosfa.2009.29.6.726   DOI
19 Cho SH, Kim J, Park BY, et al. Assessment of meat quality properties and development of a palatability prediction model for Korean Hanwoo steer beef. Meat Sci 2010;86:236-42. https://doi.org/10.1016/j.meatsci.2010.05.011   DOI
20 Dikeman ME, Cundiff LV, Gregory KE, Kemp KE, Koch RM. Relative contributions of subcutaneous and intermuscular fat to yields and predictability of retail product, fat trim, and bone in beef carcasses. J Anim Sci 1998;76:1604-12. https://doi.org/10.2527/1998.7661604x   DOI
21 Park GB, Moon SS, Ko YD, et al. Influence of slaughter weight and sex on yield and quality grades of Hanwoo (Korean native cattle) carcasses. J Anim Sci 2002;80:129-36. https://doi.org/10.2527/2002.801129x   DOI
22 Korean Statistical Information Service [Internet]. Daejeon, Korea: Statistics Korea; 2018 [cited 2019 Feb 20]. Available from: http://kosis.kr/index/index.do
23 Kong JS, Choi TJ, Kim JI, et al. The analysis of the carcass traits contribution for Hanwoo Genetic evaluation. J Agric Life Sci 2016;50:83-9. https://doi.org/10.14397/jals.2016.50.4.83   DOI
24 Park HR, Eum SH, Park JH, et al. Contribution analysis of carcass traits on auction price in Gyeongsangnam-do Hanwoo. J Agric Life Sci 2015;49:187-95. https://doi.org/10.14397/jals.2015.49.6.187   DOI
25 Korea Ministry of Government Legislation: Grading of livestock products [Internet]. Sejong Korea: Ministry of Agriculture, Food and Rural Affairs; 2019 [cited 2019 Aug 2]. Available from: http://www.law.go.kr
26 Lee JM, Choe JH, Lee HK, et al. Effect of quality grades on carcass characteristics, physico-chemical and sensory traits of longissimus Dorsi in Hanwoo. Food Sci Anim Resour 2010;30:495-503. https://doi.org/10.5851/kosfa.2010.30.3.495   DOI
27 Indurain G, Carr TR, Goni MV, Insausti K, Beriain MJ. The relationship of carcass measurements to carcass composition and intramuscular fat in Spanish beef. Meat Sci 2009;82:155-61. https://doi.org/10.1016/j.meatsci.2009.01.005   DOI
28 Kim JB, Kim DJ, Lee JK, Lee CY. Genetic relationship between carcass traits and carcass price of Korean cattle. Asian-Australas J Anim Sci 2010;23:848-54. https://doi.org/10.5713/ajas.2010.90555   DOI
29 Lee JJ, Choi SD, Dang CG, Kang SN, Kim NS. The effect of carcass traits on economic values in Hanwoo. Food Sci Anim Resour 2011;31:603-8. https://doi.org/10.5851/kosfa.2011.31. 4.603   DOI
30 Chung KY, Lee SH, Cho SH, Kwon EG, Lee JH. Current situation and future prospects for beef production in South Korea - A review. Asian-Australas J Anim Sci 2018;31:951-60. https://doi.org/10.5713/ajas.18.0187   DOI
31 Lorenzen CL, Miller RK, Taylor JF, et al. Beef customer satisfaction: trained sensory panel ratings and Warner-Bratzler shear force values. J Anim Sci 2003;81:143-9. https://doi.org/10.2527/2003.811143x   DOI