HASAN ÇİÇEK, Murat TANDOĞAN, RECEP KARA

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%).

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