Predicting the shear value and intramuscular fat in meat from Nellore cattle using Vis-NIR spectroscopy

Marina de Nadai Bonin*, Saulo da Luz e Silva, Lutz Bünger, Dave Ross, Gelson Luis Dias Feijó, Rodrigo da Costa Gomes, Francisco Palma Rennó, Miguel Henrique de Almeida Santana, Fernanda Marcondes de Rezende, Luis Carlos Vinhas Ítavo, Francisco José de Novais, Lucy Mery Antonia Surita, Mariana de Nadai Bonin, Marilia Williane Filgueira Pereira, José Bento Sterman Ferraz

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)


Visible and near-infrared spectroscopy (Vis-NIRS) was tested for its effectiveness in predicting intramuscular fat (IMF) and WBSF in Nellore steers. Beef samples from longissimus thoracis, aged for either 2 or 7 days, had their spectra collected for wavelengths ranging from 400 to 1395 nm. Partial least squares regression models were developed for each trait. Determination coefficients of calibration models for WBSF ranged from 0.17 to 0.53. Considering WBSF in samples aged for 2 days, Vis-NIR correctly classified 100% of tough samples (>45 N), but wrongly classified all tender samples (≤45 N) as tough. Determination coefficients of calibration models for IMF ranged from 0.12 to 0.14. Vis-NIRS is a useful tool for identifying tough beef, but it is less effective in predicting tender samples and IMF. Additional studies are necessary to generate more robust models for the prediction of intramuscular fat in intact meat samples of Nellore cattle.

Original languageEnglish
Article number108077
JournalMeat Science
Early online date1 Feb 2020
Publication statusPrint publication - May 2020

Bibliographical note

Copyright © 2020 Elsevier Ltd. All rights reserved.


  • Bos taurus indicus
  • Fifth rib samples
  • Instrumental texture
  • Intact samples
  • Tenderness classes


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