Silva S R, Gomes M J, Dias-da-Silva A, Gil L F, Azevedo J M T
CECAV-Universidade de Trás-os-Montes e Alto Douro, Department of Animal Science, 5000-911 Vila Real, Portugal.
J Anim Sci. 2005 Feb;83(2):350-7. doi: 10.2527/2005.832350x.
The relationship between ultrasound measurements and empty body and carcass chemical composition was investigated. A 500-V real-time ultrasound with a 7.5-MHz probe combined with image analysis was used to make in vivo measurements to predict the empty body and carcass chemical composition of 31 female lambs of two genotypes, ranging in BW from 18.2 to 48.9 kg. Eleven ultrasound measurements of s.c. fat, muscle, and tissue depth were taken at four different sites (over the 13th thoracic vertebra, between the 3rd and 4th lumbar vertebrae, at the 3rd sternebra of the sternum, and over the 11th rib, 16 cm from the dorsal midline). The single best predictor of empty body fat quantity and energy value was the s.c. fat depth over the 13th thoracic vertebra (r(2) = 0.904 and 0.912; P <0.01, respectively). Body weight was used with ultrasound measurements in multiple regression equations to establish the best independent variables combination for predicting chemical composition. Results showed that BW and two of the three ultrasound measurements (s.c. fat depth over the 13th thoracic vertebra, between the 3rd and 4th lumbar vertebrae, and tissue depth over the 11th rib, 16 cm from the dorsal midline), explained 94.7 to 98.7% (P < 0.01) of the quantity of water and fat and the energy value variation in the empty body and carcass. Body weight per se was the best predictor of the quantity of protein, accounting for 97.5 and 96.8% (P < 0.01) of the variation observed in the empty body and carcass, respectively. The results of this study suggest that BW and some ultrasound measurements combined with image analysis, particularly subcutaneous fat depth over the 13th thoracic vertebra, allow accurate prediction of empty body and carcass chemical composition in lambs.
研究了超声测量值与羊胴体化学成分之间的关系。使用一台配备7.5MHz探头的500V实时超声仪结合图像分析技术,对31只两种基因型的雌性羔羊进行活体测量,以预测其胴体化学成分,这些羔羊体重在18.2至48.9kg之间。在四个不同部位(第13胸椎上方、第3和第4腰椎之间、胸骨第3胸骨节处以及第11肋骨距背中线16cm处)进行了11次皮下脂肪、肌肉和组织深度的超声测量。预测羊胴体脂肪含量和能量值的最佳单一指标是第13胸椎上方的皮下脂肪深度(r²分别为0.904和0.912;P<0.01)。在多元回归方程中,将体重与超声测量值结合起来,以确定预测化学成分的最佳自变量组合。结果表明,体重以及三项超声测量值中的两项(第13胸椎上方、第3和第4腰椎之间的皮下脂肪深度,以及第11肋骨距背中线16cm处的组织深度),解释了羊胴体水分、脂肪含量以及能量值变化的94.7%至98.7%(P<0.01)。体重本身是蛋白质含量的最佳预测指标,分别解释了羊胴体中观察到的蛋白质含量变化的97.5%和96.8%(P<0.01)。本研究结果表明,体重和一些超声测量值结合图像分析,特别是第13胸椎上方的皮下脂肪深度,能够准确预测羔羊胴体的化学成分。