Unidad de Tecnología en Producción Animal, Centro de Investigación y Tecnología Agroalimentaria de Aragón, Avda. Montañana 930, Zaragoza, Spain.
J Anim Sci. 2010 Oct;88(10):3409-18. doi: 10.2527/jas.2009-2632. Epub 2010 Jun 18.
The objectives were to study the relationship between in vivo ultrasound measurements and cold carcass measurements at 4 anatomical points along the backbone of lambs and to determine appropriate regression equations to estimate carcass composition by using ultrasonic measurements at each anatomical point. The lambs (n = 114) used were suckling lambs (BW = 11.09 kg), light lambs (BW = 22.43 kg), and wethers (BW = 32.03 kg), representing a wide range of BW. Measurements of subcutaneous fat and skin thickness and of muscle depth and muscle width were taken over the 10th to 11th and 12th to 13th thoracic vertebrae and over the first to second and third to fourth lumbar vertebrae. These measurements were taken at one-third of the musculus longissimus thoracis et lumborum (LMT) width with the probe perpendicular to the backbone. The left sides of the carcasses were dissected into muscle, fat, and bone. The weight of lean tissue increased (P < 0.001) at a rate of approximately 500 g for each kilogram of carcass weight increase. Pelvic fat weight increased (P < 0.001) slightly with increasing carcass weight (11.8 g), whereas kidney fat and subcutaneous fat showed great gains (P < 0.001; 40.3 and 134.4 g, respectively). Ultrasound LMT width of light lambs remained constant along the backbone, whereas LMT width of suckling lambs and wethers increased (P < 0.001) from the cranial to the caudal direction. Ultrasound LMT depth and fat thickness between the 10th and 11th thoracic vertebrae were greater (P < 0.01) than measurements taken at other backbone locations. The greatest difference between ultrasound and carcass measurements was in LMT width, with differences between ultrasound and carcass measurements always being greater in LMT depth than in fat thickness. Carcass LMT width was more closely correlated with carcass lean than with other tissues, especially at both thoracic locations (r = 0.80 and r = 0.71). In general, skin thickness measured by ultrasound was poorly correlated (from r = 0.19 to r = 0.33) with all carcass tissues because of slight variations in skin thickness. Ultrasound LMT depth was more closely correlated with carcass tissues than was carcass LMT depth (from r = 0.53 for bone to r = 0.71 for lean), whereas ultrasound fat depth and carcass fat depth presented similar correlations (from r = 0.49 for bone to r = 0.72 for intermuscular fat). Regression coefficients for predicting lean were 0.95 to 0.96, for predicting subcutaneous fat were 0.67 to 0.75, for predicting intermuscular fat were 0.81 to 0.84, and for predicting bone were 0.78 to 0.88. This study was not conclusive regarding predicting carcass composition in relation to an optimal anatomical position, given that all the anatomical locations studied allowed accurate regression equations. Body weight was the most important predictor of carcass composition, with a slight improvement in regression equations when using ultrasound. However, ultrasound muscle and fat depths were correlated with carcass muscle and fat depths and with the tissular composition of carcass.
本研究旨在探讨活体超声测量与羔羊脊柱背侧 4 个解剖部位冷胴体测量之间的关系,并确定使用每个解剖部位的超声测量来估计胴体组成的合适回归方程。使用的羔羊(n=114)为哺乳期羔羊(BW=11.09kg)、轻型羔羊(BW=22.43kg)和去势公羊(BW=32.03kg),代表了广泛的 BW 范围。在第 10-11 胸椎和第 12-13 胸椎以及第 1-2 腰椎和第 3-4 腰椎上测量皮下脂肪和皮肤厚度以及肌肉深度和肌肉宽度。这些测量是在背最长肌和腰大肌(LMT)宽度的三分之一处进行的,探头与脊柱垂直。胴体的左侧被剖分为肌肉、脂肪和骨骼。瘦组织的重量(P<0.001)随着胴体重量的增加而增加,每增加 1kg 约增加 500g。骨盆脂肪重量(P<0.001)随着胴体重量的增加而略有增加(11.8g),而肾脏脂肪和皮下脂肪的增加幅度较大(P<0.001;分别为 40.3 和 134.4g)。轻型羔羊的 LMT 宽度沿脊柱保持不变,而哺乳期羔羊和去势公羊的 LMT 宽度从颅侧向尾侧增加(P<0.001)。第 10-11 胸椎之间的 LMT 深度和脂肪厚度的超声测量值(P<0.01)大于其他脊柱位置的测量值。超声与胴体测量值之间的最大差异是 LMT 宽度,LMT 深度与脂肪厚度之间的超声与胴体测量值之间的差异始终大于 LMT 宽度。胴体 LMT 宽度与胴体瘦肉的相关性大于与其他组织的相关性,尤其是在两个胸椎位置(r=0.80 和 r=0.71)。一般来说,由于皮肤厚度略有变化,超声测量的皮肤厚度与所有胴体组织的相关性较差(r=0.19 至 r=0.33)。LMT 深度的超声测量值与胴体组织的相关性大于胴体 LMT 深度(从骨骼的 r=0.53 到瘦肉的 r=0.71),而超声脂肪深度和胴体脂肪深度的相关性相似(从骨骼的 r=0.49 到肌肉间脂肪的 r=0.72)。预测瘦肉的回归系数为 0.95 至 0.96,预测皮下脂肪的回归系数为 0.67 至 0.75,预测肌肉间脂肪的回归系数为 0.81 至 0.84,预测骨骼的回归系数为 0.78 至 0.88。鉴于所有研究的解剖部位都允许准确的回归方程,因此本研究对于预测与最佳解剖位置相关的胴体组成并没有得出明确的结论。体重是胴体组成的最重要预测因子,使用超声时回归方程略有改善。然而,超声肌肉和脂肪深度与胴体肌肉和脂肪深度以及胴体组织组成相关。