Título:	Vis-NIRS as an auxiliary tool in the classification of bovine carcasses.
Autor:	PEREIRA, G. Z. PEREIRA, G. de M. GOMES, R. da C. FEIJO, G. L. D. SURITA, L. M. A. PEREIRA, M. W. F. MENEZES, G. R. de O. CARA, J. R. F. ÍTAVO, L. C. V. SILVA, C. da L. e AMIN, M. GOMES, M. de N. B.
Afiliación:	GABRIELA ZARDO PEREIRA, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; GABRIEL DE MORAIS PEREIRA, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; RODRIGO DA COSTA GOMES, CNPGC; GELSON LUIS DIAS FEIJO, CNPGC; LUCY MERY ANTONIA SURITA, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; MARÍLIA WILLIANI FILGUEIRA PEREIRA, UNIVERSIDADE FEDERAL RURAL DO SEMI-ÁRIDO; GILBERTO ROMEIRO DE OLIVEIRA MENEZES, CNPGC; JAQUELINE RODRIGUES FERREIRA CARA, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; LUIS CARLOS VINHAS ÍTAVO, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; SAULO DA LUZ E SILVA, UNIVERSIDADE DE SÃO PAULO; MELISSA AMIN, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; MARINA DE NADAI BONIN GOMES, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL.
Año:	2025
Referencia:	PLoS ONE, v. 20, n. 1, e0317434, 2025.
Descripción:	ABSTRACT - This work aimed to evaluate the use of Visible and Near-infrared Spectroscopy (Vis-NIRS) as a tool in the classification of bovine carcasses. A total of 133 animals (77 females, 29 males surgically castrated and 27 males immunologically castrated) were used. Vis-NIRS spectra were collected in a chilling room 24 h postmortem directly on the hanging carcasses over the longissimus thoracis between the surface of the 5th and 6th ribs. The data were evaluated by principal component analysis (PCA) and the partial least squares regression (PLSR) method. For the prediction of sex, the best model was the Standard Normal Variate (SNV) because it presented a relatively high coefficient of determination for prediction, presenting a percentage of correctness of 75.51% and an error of 24.49%. Regarding age, none of the models were able to differentiate the samples through Vis-NIRS. The findings confirm that Vis-NIRS prediction models are a valuable tool for differentiating carcasses based on sex. To further enhance the precision of these predictions, we recommend using Vis-NIRS equipment with the full infrared wavelength range to collect and predict sex and age in intact beef samples.
Thesagro:	Carcaça Castração Raio Infravermelho
NAL Thesaurus:	Analytical methods Beef carcasses Chemical composition Near-infrared spectroscopy
DOI:	https://doi.org/10.1371/journal.pone.0317434
Tipo de Material:	Artigo de periódico
Acceso:	openAccess
Aparece en las colecciones:	Artigo em periódico indexado (CNPGC)