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Predicting lamb carcase composition from tissue depth measured at a single point with an ultrawide-band microwave scanner
Journal article   Open access   Peer reviewed

Predicting lamb carcase composition from tissue depth measured at a single point with an ultrawide-band microwave scanner

J. Marimuthu, K.M.W. Loudon, R. Karayakallile Abraham, V. Pamarla and G.E. Gardner
Meat science, Vol.213, 109509
2024
DOI: https://doi.org/10.1016/j.meatsci.2024.109509
Appears in  Open Access via Read & Publish Agreements
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CC BY V4.0,  Open Access

Abstract

Accuracy Bone C-site Fat Muscle Objective measurement Precision
This study evaluated the ability of portable ultra-wide band microwave system (MiS) to predict lamb carcase computed tomography (CT) determined composition % of fat, lean muscle and bone. Lamb carcases (n = 343) from 6 slaughter groups were MiS scanned at the C-site (45 mm from spine midline at the 12th /13th rib) prior to CT scanning to determine the proportion of fat, muscle and bone. A machine learning ensemble stacking technique was used to construct the MiS prediction equations. Predictions were pooled and divided in 5 groups stratified for each CT composition trait (fat, lean or bone%) and a k-fold cross validation (k = 5) technique was used to test the predictions. MiS predicted CT fat% with an average RMSEP of 2.385, R2 0.78, bias 0.156 and slope 0.095. The prediction of CT lean% had an average RMSEP of 2.146, R2 0.64, bias 0.172 and slope 0.117. CT bone% prediction had an average RMSEP of 0.990, R2 0.75, bias 0.051 and slope 0.090. Predictions for CT bone% met AUS-MEAT device accreditation error tolerances on the whole range of the dataset. Predictions for CT lean% and fat% met AUS-MEAT error tolerances on a constrained dataset.

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