Using dual energy X-ray absorptiometry to estimate commercial cut weights at abattoir chain-speed

G.E. Gardner; F. Anderson; C. Smith; A. Williams

doi:10.1016/j.meatsci.2020.108400

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Using dual energy X-ray absorptiometry to estimate commercial cut weights at abattoir chain-speed

Journal article

Peer reviewed

Using dual energy X-ray absorptiometry to estimate commercial cut weights at abattoir chain-speed

G.E. Gardner, F. Anderson, C. Smith and A. Williams

Meat Science, Vol.173, Article 108400

2021

DOI: https://doi.org/10.1016/j.meatsci.2020.108400

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Abstract

This experiment assessed the ability of an on-line dual energy x-ray absorptiometer (DEXA) installed at a commercial abattoir to determine commercial cut weights in lamb carcases at abattoir chain-speed. 200 lamb carcases were scanned using a DEXA that was trained to predict the computed tomography determined proportions of fat, lean, and bone. Models were then trained using hot carcase weight and, DEXA fat% value or GR tissue depth to predict cut weight. Results from validation tests of DEXA models demonstrated excellent precision for predicting cut weight, in most cases describing more than 85% of the variation, and RMSE values that represented between 5 and 13% of the average weight of each cut. For most cuts these weight predictions were superior to those informed by GR tissue depth. This precision was maintained upon validation. Additional analyses utilised pixel information from the fore, saddle, and hind sections of DEXA images. This further enhanced the predictive power of cut weight models.

Details

Title: Using dual energy X-ray absorptiometry to estimate commercial cut weights at abattoir chain-speed
Authors/Creators: G.E. Gardner (Author/Creator) - Murdoch University
F. Anderson (Author/Creator) - Murdoch University
C. Smith (Author/Creator) - Agbiz Solutions, RMB539, Natimuk, VIC 3409, Australia.
A. Williams (Author/Creator) - Murdoch University
Publication Details: Meat Science, Vol.173, Article 108400
Publisher: Elsevier BV
Identifiers: 991005540936507891
Murdoch Affiliation: School of Veterinary and Life Sciences
Language: English
Resource Type: Journal article

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Citation topics: 3 Agriculture, Environment & Ecology; 3.51 Dairy & Animal Sciences; 3.51.206 Meat Quality
Web Of Science research areas: Food Science & Technology
ESI research areas: Agricultural Sciences