School of Veterinary and Life Sciences, Murdoch University, WA 6150, Australia.
Scott Automation and Robotics Pty Ltd, Rydalmere, NSW 2116, Australia.
Meat Sci. 2018 Nov;145:425-430. doi: 10.1016/j.meatsci.2018.07.025. Epub 2018 Jul 19.
This study assessed the ability of computed tomography (CT) to predict intramuscular fat (IMF) % in the M. longissimus thoracis et lumborum of 64 cattle undergoing Meat Standards Australia (MSA) marbling score. The striploin was dissected from carcasses at the 12th rib and CT scanned, with IMF% determined at the 12th rib of the M. longissimus thoracis (LT) and the caudal M. longissimus lumborum (LL). Prediction of IMF% using CT in the LT was moderate (R = 0.89, RMSE = 1.91) utilising CT pixel density and standard deviation, and better than prediction using MSA marbling score (R = 0.81, RMSE = 2.47). Prediction of IMF% in the caudal aspect of the LL was comparatively poor (R = 0.63, RMSE = 4.69), with IMF% 1.97% higher in this region (P < .05). CT is a promising non-destructive method for determination of IMF% that was more accurate than MSA marbling score.
本研究评估了计算机断层扫描（CT）在预测 64 头接受澳大利亚肉类标准（MSA）大理石纹评分的牛背最长肌和腰最长肌的肌内脂肪（IMF）%方面的能力。从第 12 肋骨的胴体上解剖出牛里脊，并对其进行 CT 扫描，在第 12 肋骨的背最长肌（LT）和尾侧腰最长肌（LL）处确定 IMF%。使用 CT 像素密度和标准差预测 LT 中的 IMF%的效果适中（R=0.89，RMSE=1.91），优于使用 MSA 大理石纹评分的预测效果（R=0.81，RMSE=2.47）。在 LL 的尾侧部分预测 IMF%的效果相对较差（R=0.63，RMSE=4.69），该区域的 IMF%高 1.97%（P<.05）。CT 是一种有前途的非破坏性方法，用于确定 IMF%，其准确性优于 MSA 大理石纹评分。
