Lamb racks from commercial carcasses were scanned using near-infrared spectroscopy. The prediction accuracies (R2) for meat quality traits were assessed. Prediction accuracy ranged between 0.40 and 0.94. When predicted values were used to classify meat based on quality, 88.7%–95.2% of samples were correctly classified as quality guaranteed.
How to translate text using browser tools
17 October 2017
Guaranteeing Canadian lamb meat quality using near-infrared spectroscopy on intact rack
M. Juárez,
A. Horcada,
N. Prieto,
J.C. Roberts,
M.E.R. Dugan,
O. López-Campos,
B. Uttaro,
I.L. Larsen,
S. Hosford,
J. Galbraith,
J.L. Aalhus
ACCESS THE FULL ARTICLE
It is not available for individual sale.
This article is only available to subscribers.
It is not available for individual sale.
It is not available for individual sale.
![](/ContentImages/journals/cjas/98/2/2/WebImages/115.098.0200.cover.jpg)
Canadian Journal of Animal Science
Vol. 98 • No. 2
June 2018
Vol. 98 • No. 2
June 2018