Realini C E, Williams R E, Pringle T D, Bertrand J K
Animal and Dairy Science Department, University of Georgia, Athens 30602-2771, USA.
J Anim Sci. 2001 Jun;79(6):1378-85. doi: 10.2527/2001.7961378x.
This study was conducted to determine the ability of additional ultrasound measures to enhance the prediction accuracy of retail product and trimmable fat yields based on weight and percentage. Thirty-two Hereford-sired steers were ultrasonically measured for 12th-rib fat thickness, longissimus muscle area, rump fat thickness, and gluteus medius depth immediately before slaughter. Chilled carcasses were evaluated for USDA yield grade factors and then fabricated into closely trimmed, boneless subprimals with 0.32 cm s.c. fat. The kilogram weight of end-point product included the weight of trimmed, boneless subprimals plus lean trim weights, chemically adjusted to 20% fat, whereas the fat included the weight of trimmed fat plus the weight of fat in the lean trim. Prediction equations for carcass yield end points were developed using live animal or carcass measurements, and live animal equations were developed including ultrasound ribeye area or using only linear measurements. Multiple regression equations, with and without ultrasound rump fat thickness and gluteus medius depth, had similar R2 values when predicting kilograms of product and percentages of product, suggesting that these alternative variables explained little additional variation. Final unshrunk weight and ultrasound 12th-rib fat thickness explained most of the variation when predicting kilograms of fat. Rump fat and gluteus medius depth accounted for an additional 10% of the variation in kilograms of fat, compared with the equation containing final weight, ultrasound ribeye area, and ultrasound 12th-rib fat thickness; however, the two equations were not significantly different. Prediction equations for the cutability end points had similar R2 values whether live animal ultrasound measurements or actual carcass measurements were used. However, when ultrasound ribeye area was excluded from live animal predictions, lower R2 values were obtained for kilograms of product (0.81 vs 0.67) and percentages of product (0.41 vs 0.17). Conversely, the exclusion of ultrasound ribeye area had little effect on the prediction accuracy for kilograms of fat (0.75 vs 0.74) and percentage fat (0.50 vs 0.40). These data substantiate the ability of live animal ultrasound measures to accurately assess beef carcass composition and suggest that the alternative ultrasound measures, rump fat and gluteus medius depth, improve the accuracy of predicting fat-based carcass yields.
本研究旨在确定额外的超声测量方法能否提高基于体重和百分比的零售产品及可修割脂肪产量的预测准确性。在32头赫里福德种公牛即将屠宰前,对其进行超声测量,测定第12肋处脂肪厚度、背最长肌面积、臀部脂肪厚度和臀中肌深度。对冷却后的胴体进行美国农业部产量等级因素评估,然后将其加工成脂肪厚度为0.32厘米的紧密修割、去骨的主要切块。终点产品的千克重量包括修割后的去骨主要切块重量加上瘦肉修割重量,并将其化学调整至含20%的脂肪,而脂肪重量包括修割脂肪的重量加上瘦肉修割中的脂肪重量。使用活体动物或胴体测量数据建立胴体产量终点的预测方程,建立的活体动物方程包括超声眼肌面积或仅使用线性测量值。在预测产品千克数和产品百分比时,包含和不包含超声臀部脂肪厚度和臀中肌深度的多元回归方程具有相似的R2值,这表明这些替代变量几乎没有额外解释更多的变异。在预测脂肪千克数时,最终未缩水体重和超声第12肋处脂肪厚度解释了大部分变异。与包含最终体重、超声眼肌面积和超声第12肋处脂肪厚度的方程相比,臀部脂肪和臀中肌深度额外解释了脂肪千克数变异的10%;然而,这两个方程没有显著差异。无论使用活体动物超声测量还是实际胴体测量,可切割性终点的预测方程都具有相似的R2值。然而,当在活体动物预测中排除超声眼肌面积时,产品千克数(0.81对0.67)和产品百分比(0.41对0.17)的R2值较低。相反,排除超声眼肌面积对脂肪千克数(0.75对0.74)和脂肪百分比(0.50对0.40)的预测准确性影响不大。这些数据证实了活体动物超声测量能够准确评估牛肉胴体组成,并表明替代超声测量方法,即臀部脂肪和臀中肌深度,提高了基于脂肪的胴体产量预测的准确性。