Prediction of Weights and Percentages of Retail Cuts in Holstein Bull Carcasses [1]
Bu araştırma Holştayn tosun karkaslarında perakende parça ağırlık ve oranlarını tahmin etmek amacıyla yapılmıştır. Çalışmanın materyalini 47 adet Holştayn tosun (ortalama kesim yaşı: 20.57±0.606 ay) karkasları oluşturmuştur. Sıcak karkas ağırlığı (HCW, kg), kaburga gözü alanı (REA, cm2) ve kabuk yağı kalınlığı (FT, cm) perakende parça ağırlık ve oranlarının tahmininde kullanılmıştır. Tosun karkasları 12 parçaya ayrılmış ve bu parçalar da toplam perakende parçalar (TRC), birinci derece perakende parçalar (FRC) ve ikinci derece perakende parçalar (SRC) olarak gruplandırılmıştır. TRC, FRC ve SRC ağırlık ve oranlarının tahmininde regresyon (stepwise yöntemi) analizi yapılmıştır. Kesim ağırlığı (SW), karkas randımanı (DP), HCW, REA ve FT sırasıyla ortalama 544.550±6.776 kg; 55.75±0.169%; 303.600±3.948 kg; 85.538±1.978 cm2 ve 0.310±0.023 cm tespit edilmiştir. Yapılan analizde tüm tahmini modellerin (F) anlamlı (P
Holştayn Tosun Karkaslarında Perakende Parça Ağırlık ve Oranlarının Tahmini
This study was made to predict the weights and percentages of retail cuts in Holstein bull carcasses. The study material were 47 Holstein bull (mean slaughter age: 20.57±0.606 months) carcasses. Hot carcass weight (HCW, kg), ribeye area (REA, cm2) and fat thickness (FT, cm) were used to predict weights and percentages of retail cuts. Bull carcasses were divided into 12 retail cuts and grouped as total retail cuts (TRC), first degree retail cuts (FRC) and second degree retail cuts (SRC). Regression analysis was made (stepwise method) to predict weights and percentages of TRC, FRC and SRC. Slaughter weight (SW), dressing percentage (DP), HCW, REA and FT were determined as average 544.550±6.776 kg; 55.75±0.169%; 303.600±3.948 kg; 85.538±1.978 cm2 and 0.310±0.023 cm, respectively. All predicted models (F) were found significantly (P<0.001; P<0.01) in the analysis. As a result, it was found that HCW is most important predictor in predicting the weights and percentages of retail cuts. HCW and REA explained for 94.5% (R2) of the variation of dependent variable (YTRC) in the predicted model for weights of total retail cuts (TRCkg). REA and HCW explained for 21.7% (R2) of the variation of dependent variable (YTRC) in the predicted model for percentages of total retail cuts (TRC%).
___
- Beriain MJ, Indurain G, Carr TR, Insausti K, Sarries V, Purroy A: Contrasting appraisals of quality and value of beef carcasses in Spain and the United States. Revue Med Vet, 164 (7): 337-342, 2013.
- Price MA: Development of carcass grading and classification systems (chapter 8). In, Morgan Jones SD (Ed): Quality and Grading of Carcasses of Meat Animals. 173-200, CRC Press, Inc., USA, 1995.
- Tatum D: Beef Grading. 4, National Cattlemen's Beef Association. USA, Strydom PE, Smith MF: Predicting yields of high priced trimmed beef cuts by means of carcass weight and visual assessments of fat cover and conformation. S Afr J Anim Sci, 35, 195-205, 2005. DOI: 10.4314/sajas. v35i3.4059
- Polkinghorne RJ, Thompson JM: Meat standards and grading A world view. Meat Sci, 86, 227-235, 2010. DOI: 10.1016/j.meatsci.2010.05.010
- Boggs DL, Merkel RA, Doumit ME, Bruns K: Livestock and carcasses: An integrated approach to evaluation, grading and selection. 6th ed., 111- , Kendall/Hunt Publishing Company, Iowa, USA, 2006.
- Maeno H, Oishi K, Mitsuhashi T, Kumagai H, Hirooka H: Prediction of carcass composition and individual carcass cuts of Japanese Black steers. Meat Sci, 96, 1365-1370, 2014. DOI: 10.1016/j.meatsci.2013.11.017
- Lawrence TE, Elam NA, Miller MF, Brooks JC, Hilton GG, VanOverbeke DL, McKeith FK, Killefer J, Montgomery TH, Allen DM, Griffin DB, Delmore RJ, Nichols WT, Streeter MN, Yates DA, Hutcheson JP: Predicting red meat yields in carcasses from beef-type and calf fed Holstein steers using the United States Department of Agriculture calculated yield grade. J Anim Sci, 88, 2139-2142, 2010. DOI: 10.2527/ jas.2009-2739
- Chen Y, Li C, Liu L, Zhou G, Xu X, Gao F: Prediction of yield of retail cuts for native and crossbred Chinese Yellow cattle. Anim Sci J, 78, 440- , 2007. DOI: 10.1111/j.1740-0929.2007.00459.x
- Choy YH, Choi SB, Jeon GJ, Kim HC, Chung HJ, Lee JM, Park BY, Lee SH: Prediction of retail beef yield using parameters based on Korean Beef Carcass Grading Standards. Korean J Food Sci Anim Resour, 30, 905-909, DOI: 10.5851/kosfa.2010.30.6.905
- Lee JM, Yoo YM, Park BY, Chae HS, Hwang IH, Choi YI: A research note on predicting the carcass yield of Korean native cattle (Hanwoo). Meat Sci, 69, 583-587, 2005. DOI: 10.1016/j.meatsci.2004.09.004
- Park GB, Moon SS, Ko YD, Ha JK, Lee JG, Chang HH, Joo ST: Influence of slaughter weight and sex on yield and quality grades of Hanwoo (Korean native cattle) carcasses. J Anim Sci, 80, 129-136, 2002.
- Moon SS, Hwang IH, Jin SK, Lee JG, Joo ST, Park GB: Carcass traits determining quality and yield grades of Hanwoo Steers. Asian-Aust J Anim Sci, 16, 1049-1054, 2003. DOI: 10.5713/ajas.2003.1049
- Yücesan A, Ergün Ö: Çeşitli sığır ırklarımıza ait karkaslarda değerli et preparatlarının tespiti ve karkaslara oranları üzerine araştırmalar. İstanbul Üniv Vet Fak Derg, 26 (2): 345-352, 2000.
- Sarıözkan S, Akçay A, Bayram D: Zavot ırkı sığırlarda karkas özellikleri ve karkas parçalamanın ekonomik yönü. Ankara Üniv Vet Fak Derg, 60, 257-262, 2013. DOI: 10.1501/Vetfak_0000002589
- Kale MC: Et ve Balık Ürünleri Anonim Şirketi kombinalarında sığır etinin karkas veya parçalanmış et olarak sürümünün işletme gelirine etkisi. Doktora tezi, Ankara Üniv. Sağlık Bil. Enst., 2008.
- Kale MC, Aral Y, Aydın E, Cevger Y, Sakarya E, Güloğlu SC: Determination of by-product economic values for slaughtered cattle and sheep. Kafkas Univ Vet Fak Derg, 17, 551-556, 2011. DOI: 10.9775/ kvfd.2010.3945
- Özlütürk A, Tüzemen N, Yanar M, Esenbuga N, Dursun E: Fattening performance, carcass traits and meat quality characteristics of calves sired by Charolais, Simmental and Eastern Anatolian Red sires mated to Eastern Anatolian Red dams. Meat Sci, 67, 463-470, 2004. DOI: 10.1016/j. meatsci.2003.11.022
- Özlütürk A, Esenbuğa N, Yanar M, Ünlü N, Macit M, Kopuzlu S: The effect of duration of finishing period on the performance, slaughter, carcass, and beef quality characteristics of Eastern Anatolian Red bulls. Turk J Vet Anim Sci, 32 (6): 441-448, 2008.
- Sağsöz Y, Çoban Ö, Laçin E, Sabuncuoğlu N, Yıldız A: Esmer ve Şarole x Esmer danaların besi performansı ve karkas özellikleri. Atatürk Üniv Ziraat Fak Derg, 36 (2): 163-169, 2005.
- Güngör M, Alçiçek A, Tümer S, Önenç A: Siyah Alaca ve farklı etçi ırk melezlerinin besi performanslarının araştırılması. J Aegean Agri Res Inst, (1): 27-40, 2004.
- GDMMBa: General Directory of Meat and Milk Board, Slaughter Regulation (No: 37), 20, Ankara, Turkey, 2012.
- GDMMBb: General Directory of Meat and Milk Board. Cutting and Management Regulation, No: 204, 2000.