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Dual X-ray Absorptiometry Accurately Predicts Carcass Composition From Live Sheep And Chemical Composition Of Live And Dead Sheep

机译:双X射线吸收光度法可准确预测活羊的Car体成分以及生死羊的化学成分

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Fifty merino wethers (liveweight range from 44 to 81 kg, average of 58.6 kg) were lot fed for 42 d and scanned through a dual X-ray absorptiometry (DXA) as both a live animal and whole carcass (carcass weight range from 15 to 32 kg, average of 22.9 kg) producing measures of total tissue, lean, fat and bone content. The carcasses were subsequently boned out into saleable cuts and the weights and yield of boned out muscle, fat and bone recorded. The relationship between chemical lean (protein + water) was highly correlated with DXA carcass lean (r~2 = 0.90, RSD = 0.674 kg) and moderately with DXA live lean (r~2 = 0.72, RSD = 1.05 kg). The relationship between the chemical fat was moderately correlated with DXA carcass fat (r~2 = 0.86, RSD = 0.42 kg) and DXA live fat (r~2 = 0.70, RSD = 0.71 kg). DXA carcass and live animal bone was not well correlated with chemical ash (both r~2 = 0.38, RSD = 0.3). DXA carcass lean was moderately well predicted from DXA live lean with the inclusion of bodyweight in the regression (r~2 = 0.82, RSD = 0.87 kg). DXA carcass fat was well predicted from DXA live fat (r~2 = 0.86, RSD = 0.54 kg). DXA carcass lean and DXA carcass fat with the inclusion of carcass weight in the regression significantly predicted boned out muscle (r~2 = 0.97, RSD = 0.32 kg) and fat weight, respectively (r~2 = 0.92, RSD = 0.34 kg). The use of DXA live lean and DXA live fat with the inclusion of bodyweight to predict boned out muscle (r~2 = 0.83, RSD = 0.75 kg) and fat (r~2 = 0.86, RSD = 0.46 kg) weight, respectively, was moderate. The use of DXA carcass and live lean and fat to predict boned out muscle and fat yield was not correlated as weight. The future for the DXA will exist in the determination of body composition in live animals and carcasses in research experiments but there is potential for the DXA to be used as an online carcass grading system.
机译:将五十只美利奴绵羊放牧动物(活体体重在44至81千克之间,平均58.6千克)喂食42天,并通过双X射线吸收法(DXA)对活体和整个car体进行扫描(weight体重量从15到15公斤不等)。 32公斤,平均22.9公斤),可以测量总组织,瘦肉,脂肪和骨骼的含量。随后将尸体切成可出售的切块,并记录去除肌肉,脂肪和骨头的重量和产量。化学瘦肉(蛋白质+水)之间的关系与DXA cas体瘦肉(r〜2 = 0.90,RSD = 0.674 kg)高度相关,而与DXA活瘦肉(r〜2 = 0.72,RSD = 1.05 kg)高度相关。化学脂肪之间的关系与DXA cas体脂肪(r〜2 = 0.86,RSD = 0.42 kg)和DXA活脂肪(r〜2 = 0.70,RSD = 0.71 kg)适度相关。 DXA cas体和活体动物骨骼与化学灰分之间没有很好的相关性(r〜2 = 0.38,RSD = 0.3)。 DXA lean体瘦肉从DXA鲜肉中被很好地预测,且体重包括在回归中(r〜2 = 0.82,RSD = 0.87 kg)。 DXA fat体脂肪可以从DXA活脂肪中很好地预测(r〜2 = 0.86,RSD = 0.54 kg)。 DXA体瘦肉和DXA cas体脂肪在回归中包括car体重量,分别显着预测出骨骼肌肉(r〜2 = 0.97,RSD = 0.32 kg)和脂肪重量(r〜2 = 0.92,RSD = 0.34 kg) 。使用DXA活瘦肉和DXA活脂肪并加上体重来分别预测骨骼肌肉(r〜2 = 0.83,RSD = 0.75公斤)和脂肪(r〜2 = 0.86,RSD = 0.46公斤)的体重,适中。使用DXA cas体,瘦肉和脂肪来预测肌肉和脂肪的产量与体重无关。 DXA的未来将存在于研究实验中确定活体和cas体的身体成分中,但DXA有望用作在线car体分级系统。

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