Dual energy X-ray absorptiometry (DXA) was evaluated for its accuracy in predicting total lean, fat and bone in beef carcass sides and primal cuts. Left carcass sides (n = 316) were broken down into primal cuts, scanned using DXA and then dissected to fat, lean and bone. The DXA estimates for bone, lean and fat from the primals (n = 237) were used to calibrate partial least squares regression (PLSR) models for predicting tissue weights. Models were validated using 79 additional carcass sides, which were broken into primals, scanned using DXA, and subsequently dissected to fat, lean and bone. Models were highly accurate for predicting tissue weights for the entire carcass side (lean R² = 0.991, fat R² = 0.985 and bone R² = 0.941) and within most primal cuts. Results suggest DXA technology can be utilized to accurately predict carcass tissue composition for whole carcass sides and within most primals.

评价了双能X射线吸收法（DXA）在预测牛car体侧面和原始切块中总瘦肉，脂肪和骨头的准确性。将左侧car体侧面（n  = 316）切成原始切口，用DXA扫描，然后解剖为脂肪，瘦肉和骨头。来自原始动物（n  = 237）的骨骼，瘦肉和脂肪的DXA估计值用于校准偏最小二乘回归（PLSR）模型，以预测组织重量。模型使用另外的79个sides体侧面进行了验证，这些侧面被分解成原始物体，使用DXA进行扫描，然后分解为脂肪，瘦肉和骨头。模型可高度准确地预测整个car体侧的组织重量（瘦R ²  = 0.991，脂肪R ²  = 0.985和骨骼R ² = 0.941），并且在大多数原始切割中都包含在内。结果表明，DXA技术可用于准确预测整个whole体侧面和大多数原始动物体内的car体组织组成。