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   Prediction of weights and percentages of retail cuts in holstein bull carcasses [Holştayn tosun karkaslarında perakende parça ağırlık ve oranlarının tahmini]  
   
نویسنده çiçek h. ,tandoğan m. ,kara r.
منبع journal of the faculty of veterinary medicine, kafkas university - 2016 - دوره : 22 - شماره : 3 - صفحه:327 -331
چکیده    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%). © 2016,veteriner fakultesi dergisi. all rights reserved.
کلیدواژه Carcass yield; Holstein bull; Regression analysis; Retail cuts
آدرس department of animal health economics and management,afyon kocatepe university,afyonkarahisar, Turkey, department of animal health economics and management,afyon kocatepe university,afyonkarahisar, Turkey, department of food hygiene and technology,afyon kocatepe university,afyonkarahisar, Turkey
 
     
   
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