Title:	Near Infrared Spectroscopy (NIRS) models to predict raw beef quality are anatomical point specific.
Authors:	GOMES, M. de N. B. SILVA, S. da L. e FEIJO, G. L. D. ÍTAVO, L. C. V. LIMONI, B. H. de S. GOMES, R. da C.
Affiliation:	MARINA DE NADAI BONIN GOMES, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; SAULO DA LUZ E SILVA, UNIVERSIDADE DE SÃO PAULO; GELSON LUIS DIAS FEIJO, CNPGC; LUIS CARLOS VÍNHAS ÍTAVO, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; BRUNO HENRIQUE DE SOUZA LIMONI, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; RODRIGO DA COSTA GOMES, CNPGC.
Date Issued:	2024
Citation:	In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 58., 2024, Cuiabá. Zootecnia para segurança alimentar e sustentabilidade climática: anais. Brasília, DF: SBZ; Cuiabá: Universidade Federal de Mato Grosso, 2024.
Description:	Near infrared spectroscopy (NIRS) has been tested as an online technique to predict the quality of raw intact samples of beef. It is well established that the calibration curves are specific to the type and composition of material analyzed, requiring constant calibration to improve the predictive capacity of the models. The objective of this study was to test the calibration curves of VIS-NIRS obtained from scans on the longissimus (LM) muscle between the 5th and 6th ribs to predict shear force on the 5th-6th and 12th-13th ribs. The study used information from 366 bovine carcasses to collect VIS-NIRS spectra after 24 hours of chilling.
Thesagro:	Carcaça Gado de Corte Espectrometria
NAL Thesaurus:	Beef carcasses Meat quality Spectroscopy
Type of Material:	Resumo em anais e proceedings
Access:	openAccess
Appears in Collections:	Resumo em anais de congresso (CNPGC)