Calibration of an on-line dual energy X-ray absorptiometer for estimating carcase composition in lamb at abattoir chain-speed

被引:34
作者
Gardner, G. E. [1 ,5 ]
Starling, S. [2 ]
Charnley, J. [3 ]
Hocking-Edwards, J. [4 ]
Peterse, J. [1 ]
Williams, A. [1 ]
机构
[1] Murdoch Univ, Sch Vet & Life Sci, Murdoch, WA 6150, Australia
[2] Meat & Livestock Australia, 40 Mt St, Sydney, NSW 2060, Australia
[3] Scott Automat & Robot Pty Ltd, 630 Kaikorai Rd, Dunedin, New Zealand
[4] South Australian Res & Dev Inst, Naracoorte, SA 5271, Australia
[5] Australian Cooperat Res Ctr Sheep Ind Innovat, Perth, WA, Australia
关键词
Computed tomography; Genetics; Automation; Precision; Accuracy; AFFECT BODY-COMPOSITION; COMPUTED-TOMOGRAPHY; WEIGHT; PIGS; SHEEP; MASS; FAT;
D O I
10.1016/j.meatsci.2018.06.020
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
This experiment assessed the ability of an on-line dual energy x-ray absorptiometer (DEXA) installed at a commercial abattoir to determine carcase composition at abattoir chain-speed. 607 lamb carcases from 7 slaughter groups were DEXA scanned and then scanned using computed tomography to determine the proportions of fat (CT fat%), lean (CT lean%), and bone (CT bone%). Data between slaughter groups were standardised relative to a synthetic phantom consisting of Nylon-6. Models were then trained within each dataset using hot carcase weight and DEXA value to predict CT composition, and then validated in the remaining datasets. Results from across-dataset validation tests demonstrated excellent precision for predicting CT fat%, with RMSE and R-2 values of 1.32 and 0.89, compared to values of 1.69 and 0.69 for CT lean%, and 0.81 and 0.68 for CT bone% which had less precision. Accuracy across datasets was also robust, with average bias values of 0.66, 0.83, and 0.51 for CT fat%, lean%, and bone%.
引用
收藏
页码:91 / 99
页数:9
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