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Dual energy x-ray absorptiometry predicts lamb carcass composition at abattoir chain speed with high repeatability across varying processing factors
Journal article   Peer reviewed

Dual energy x-ray absorptiometry predicts lamb carcass composition at abattoir chain speed with high repeatability across varying processing factors

S.L. Connaughton, A. Williams, F. Anderson, K.R. Kelman, J. Peterse and G.E. Gardner
Meat Science, Vol.181, Article 108413
2021
DOI: https://doi.org/10.1016/j.meatsci.2020.108413
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Abstract

An on-line Dual Energy X-ray Absorptiometry (DXA) scanner was used in an Australian abattoir to predict computed tomography (CT) determined composition % of fat, lean muscle and bone in lamb carcasses at chain speed. This study assessed the effect of spray-chilling on these estimates, as well as their repeatability over a 10-min period, and over a 72 h period. There was no prediction bias between the 15 spray-chilled and 15 non-spray-chilled carcasses. When repeat DEXA scans were undertaken across a 10-min period, there was a high level of repeatability for the prediction of CT Fat %. When repeat scans were conducted at 6 time points across a 72 h period the precision of the DXA prediction of CT Fat % of 30 carcasses remained high (R2 = 0.94, RMSEP = 1.20%), although small biases existed between time points (P < 0.01). These biases were minimised when the DXA scanner had been operational prior to experimentation, suggesting a ‘warm-up’ effect.

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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
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