The potential for dual energy X-ray absorptiometry to predict lamb eating quality

F. Anderson; C. Payne; L. Pannier; D.W. Pethick; G.E. Gardner

doi:10.1016/j.meatsci.2021.108434

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The potential for dual energy X-ray absorptiometry to predict lamb eating quality

Journal article

Peer reviewed

The potential for dual energy X-ray absorptiometry to predict lamb eating quality

F. Anderson, C. Payne, L. Pannier, D.W. Pethick and G.E. Gardner

Meat Science, Vol.181, Article 108434

2021

DOI: https://doi.org/10.1016/j.meatsci.2021.108434

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Abstract

Data were obtained from 120 lambs which were slaughtered, scanned using dual energy X-ray absorptiometry (DEXA) and underwent eating quality assessment. DEXA images were used to determine R values, reflecting atomic mass, to predict carcass lean %. Additionally, bone regions (humerus, lumbar, femur and “all carcass bone”) were isolated from images to determine bone specific R values (DEXA R Mean and SDev). Prediction of overall liking of cuts across the carcass (scored between 0 and 100) using lean % and bone DEXA was variable. Loin grill overall liking demonstrated significant associations with lumbar DEXA R Mean and SDev, decreasing by 8.6 and 7.6 units across the increasing range of these bone DEXA measures. This association is somewhat independent of carcass lean % and intramuscular fat % of the loin. Given the association of DEXA with eating quality, there are potential benefits for the lamb industry with respect to carcass sorting and marketing during routine processing and DEXA scanning.

Details

Title: The potential for dual energy X-ray absorptiometry to predict lamb eating quality
Authors/Creators: F. Anderson (Author/Creator) - Murdoch University
C. Payne (Author/Creator) - Murdoch University
L. Pannier (Author/Creator) - Murdoch University
D.W. Pethick (Author/Creator) - Murdoch University
G.E. Gardner (Author/Creator) - Murdoch University
Publication Details: Meat Science, Vol.181, Article 108434
Publisher: Elsevier
Identifiers: 991005541296007891
Murdoch Affiliation: School of Agricultural Sciences
Language: English
Resource Type: Journal article

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Collaboration types: Domestic collaboration
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