Sherbrooke Research and Development Centre, Agriculture and Agri-Food Canada, Sherbrooke, QC J1M 0C8, Canada; Departamento de Zootecnia, Universidade Federal de Santa Maria, Santa Maria, RS 97105-900, Brazil.
Sherbrooke Research and Development Centre, Agriculture and Agri-Food Canada, Sherbrooke, QC J1M 0C8, Canada.
Meat Sci. 2019 Feb;148:79-87. doi: 10.1016/j.meatsci.2018.10.005. Epub 2018 Oct 5.
Accuracy, trueness, and precision of dual-energy X-ray absorptiometry (DXA) assessment of pig carcasses and primal cuts dissected tissues were evaluated using available region of interests (ROI) and Total Body and Small Animal software modes. Fat mass, lean mass, and bone mineral content (BMC) DXA values were compared to dissected tissue weights (fat, muscle, and bones). Used ROI influenced (P < 0.05) DXA measurements of BMC, fat mass, and lean mass. Configuration modes influenced (P < 0.05) DXA fat mass in shoulders and bellies, whereas BMC estimates differed (P < 0.05) among configuration modes. Equations predicting dissected composition on the basis of DXA measurements showed high coefficients of determination, particularly for fat and lean masses. DXA is able to accurately evaluate the composition of pig carcasses and primal cuts. From a methodological viewpoint, and considering the variations observed in this study, the method for image acquisition and analysis should be chosen on the basis of the item to be evaluated.
使用可用的感兴趣区域 (ROI) 和全身及小动物软件模式评估双能 X 射线吸收法 (DXA) 评估猪胴体和分割组织的准确性、真实性和精密度。将 DXA 的脂肪质量、瘦质量和骨矿物质含量 (BMC) 值与分割组织的重量(脂肪、肌肉和骨骼)进行比较。使用的 ROI 会影响(P < 0.05)BMC、脂肪质量和瘦质量的 DXA 测量值。配置模式会影响(P < 0.05)肩部和腹部的 DXA 脂肪质量,而配置模式之间的 BMC 估计值存在差异(P < 0.05)。基于 DXA 测量值预测分割组成的方程显示出较高的决定系数,尤其是脂肪和瘦质量。DXA 能够准确评估猪胴体和分割部位的组成。从方法学的角度来看,并考虑到本研究中的观察到的差异,应根据要评估的项目选择图像采集和分析的方法。