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

doi:10.1016/j.meatsci.2020.108077

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

Beef & Sheep Research Centre

Research output: Contribution to journal › Article › peer-review

19 Citations (Scopus)

Abstract

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 language	English
Article number	108077
Journal	Meat Science
Volume	163
Early online date	1 Feb 2020
DOIs	https://doi.org/10.1016/j.meatsci.2020.108077
Publication status	Print publication - May 2020

Bibliographical note

Keywords

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

Access to Document

10.1016/j.meatsci.2020.108077

Cite this

de Nadai Bonin, M., da Luz e Silva, S., Bünger, L., Ross, D., Dias Feijó, G. L., da Costa Gomes, R., Palma Rennó, F., de Almeida Santana, M. H., Marcondes de Rezende, F., Vinhas Ítavo, L. C., de Novais, F. J., Surita, L. M. A., de Nadai Bonin, M., Filgueira Pereira, M. W., & Ferraz, J. B. S. (2020). Predicting the shear value and intramuscular fat in meat from Nellore cattle using Vis-NIR spectroscopy. Meat Science, 163, Article 108077. https://doi.org/10.1016/j.meatsci.2020.108077

@article{46ff595ed3824e838f1144ec5bc8de59,

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

abstract = "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.",

keywords = "Bos taurus indicus, Fifth rib samples, Instrumental texture, Intact samples, Tenderness classes",

author = "{de Nadai Bonin}, Marina and {da Luz e Silva}, Saulo and Lutz B{\"u}nger and Dave Ross and {Dias Feij{\'o}}, {Gelson Luis} and {da Costa Gomes}, Rodrigo and {Palma Renn{\'o}}, Francisco and {de Almeida Santana}, {Miguel Henrique} and {Marcondes de Rezende}, Fernanda and {Vinhas {\'I}tavo}, {Luis Carlos} and {de Novais}, {Francisco Jos{\'e}} and Surita, {Lucy Mery Antonia} and {de Nadai Bonin}, Mariana and {Filgueira Pereira}, {Marilia Williane} and Ferraz, {Jos{\'e} Bento Sterman}",

year = "2020",

month = may,

doi = "10.1016/j.meatsci.2020.108077",

language = "English",

volume = "163",

journal = "Meat Science",

issn = "0309-1740",

publisher = "Elsevier",

}

de Nadai Bonin, M, da Luz e Silva, S, Bünger, L, Ross, D, Dias Feijó, GL, da Costa Gomes, R, Palma Rennó, F, de Almeida Santana, MH, Marcondes de Rezende, F, Vinhas Ítavo, LC, de Novais, FJ, Surita, LMA, de Nadai Bonin, M, Filgueira Pereira, MW & Ferraz, JBS 2020, 'Predicting the shear value and intramuscular fat in meat from Nellore cattle using Vis-NIR spectroscopy', Meat Science, vol. 163, 108077. https://doi.org/10.1016/j.meatsci.2020.108077

TY - JOUR

T1 - Predicting the shear value and intramuscular fat in meat from Nellore cattle using Vis-NIR spectroscopy

AU - de Nadai Bonin, Marina

AU - da Luz e Silva, Saulo

AU - Bünger, Lutz

AU - Ross, Dave

AU - Dias Feijó, Gelson Luis

AU - da Costa Gomes, Rodrigo

AU - Palma Rennó, Francisco

AU - de Almeida Santana, Miguel Henrique

AU - Marcondes de Rezende, Fernanda

AU - Vinhas Ítavo, Luis Carlos

AU - de Novais, Francisco José

AU - Surita, Lucy Mery Antonia

AU - de Nadai Bonin, Mariana

AU - Filgueira Pereira, Marilia Williane

AU - Ferraz, José Bento Sterman

PY - 2020/5

Y1 - 2020/5

N2 - 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.

AB - 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.

KW - Bos taurus indicus

KW - Fifth rib samples

KW - Instrumental texture

KW - Intact samples

KW - Tenderness classes

UR - http://www.scopus.com/inward/record.url?scp=85079282112&partnerID=8YFLogxK

U2 - 10.1016/j.meatsci.2020.108077

DO - 10.1016/j.meatsci.2020.108077

M3 - Article

C2 - 32066001

AN - SCOPUS:85079282112

SN - 0309-1740

VL - 163

JO - Meat Science

JF - Meat Science

M1 - 108077

ER -

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

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this