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; G.E. Gardner

doi:10.1016/j.meatsci.2024.109509

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

Journal article

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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

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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.

Details

Title: Predicting lamb carcase composition from tissue depth measured at a single point with an ultrawide-band microwave scanner
Authors/Creators: J. Marimuthu - Murdoch University
K.M.W. Loudon - School of Agricultural Sciences, Centre for Animal Production and Health, Food Futures Institute, Murdoch University, WA 6150, Australia
R. Karayakallile Abraham - School of Agricultural Sciences, Centre for Animal Production and Health, Food Futures Institute, Murdoch University, WA 6150, Australia
V. Pamarla - Meat & Livestock Australia
G.E. Gardner - Murdoch University, Centre for Animal Production and Health
Publication Details: Meat science, Vol.213, 109509
Publisher: Elsevier Ltd
Identifiers: 991005656566507891
Murdoch Affiliation: Centre for Animal Production and Health
Language: English
Resource Type: Journal article

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