Prediction of lamb carcase C-site fat depth and GR tissue depth using a non-invasive portable microwave system versus body condition scoring

J. Marimuthu; K.M.W. Loudon; G.E. Gardner

doi:10.1016/j.meatsci.2022.108764

Back

Prediction of lamb carcase C-site fat depth and GR tissue depth using a non-invasive portable microwave system versus body condition scoring

Journal article

Peer reviewed

Prediction of lamb carcase C-site fat depth and GR tissue depth using a non-invasive portable microwave system versus body condition scoring

J. Marimuthu, K.M.W. Loudon and G.E. Gardner

Meat Science, Vol.188, Art. 108764

2022

DOI: https://doi.org/10.1016/j.meatsci.2022.108764

Files and links (1)

url

Link to Published Version *Subscription may be requiredView

Abstract

This study compared portable ultra-wide band microwave system (MiS) versus body condition score to predict C-site fat depth, GR tissue depth and eye muscle depth (EMD) in lambs. Experiment 1 assessed MiS and condition score to predict ultrasound measured C-site and EMD (n = 1549). Precision and accuracy was greatest for the MiS measurement with liveweight included in the model, with a C-site predicted RMSEP of 0.58 mm, R2 0.60 and bias of 0.021 mm and an EMD predicted RMSEP of 2.27 mm, R2 0.72 and bias of 0.088 mm. Experiment 2 (n = 900) assessed pre-slaughter MiS scanning and condition scoring to predict carcase GR tissue depth, C-site fat depth and EMD. MiS performed better than condition score for all three carcase trait predictions, regardless of the inclusion of liveweight, with the highest precision and accuracy for GR tissue depth determination with a RMSEP of 3.68 mm, R2 0.63 and bias 0.072 mm.

Details

Title: Prediction of lamb carcase C-site fat depth and GR tissue depth using a non-invasive portable microwave system versus body condition scoring
Authors/Creators: J. Marimuthu (Author/Creator) - Meat & Livestock Australia
K.M.W. Loudon (Author/Creator) - Meat & Livestock Australia
G.E. Gardner (Author/Creator) - Meat & Livestock Australia
Publication Details: Meat Science, Vol.188, Art. 108764
Publisher: Elsevier
Identifiers: 991005546367507891
Murdoch Affiliation: School of Veterinary Medicine
Language: English
Resource Type: Journal article

Metrics

100 Record Views

5 Times Cited - Web of Science

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

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