PREDICTING PROXIMATE COMPOSITION OF MUTTON BY FOURIER TRANSFORM-NEAR INFRARED SPECTROSCOPY

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dc.contributor.authorSindhura, Asinapuram
dc.contributor.authorAppa Rao, V
dc.contributor.authorNarendra Babu, R, et al.,
dc.contributor.authorTANUVAS
dc.date.accessioned2023-06-09T10:29:32Z
dc.date.available2023-06-09T10:29:32Z
dc.date.issued2023
dc.descriptionTNV_IJSR_2023_29(1)104-108en_US
dc.description.abstractA study was conducted to predict the proximate composition viz., moisture, crude protein, crude fat and total ash contents of mutton by Fourier transform-near infrared (FT-NIR) spectroscopy. A total of 200 longissimus dorsi muscle samples of mutton were collected from the retail meat outlets in and around Chennai in of September, 2020. The correlation coefficient ((R2) between true (conventional) and prediction (FT-NIR) values for moisture, crude protein, crude fat and total ash in mutton were 0.98, 0.98, 0.89, and 0.84, respectively. The root mean square errors of cross-validation (RMSECV) were 0.106, 0.095, 0.188 and 0.034, respectively. Ratios of prediction to deviation (RPD) were 7.80, 8.08, 3.15 and 2.53, respectively. Nonsignificant (P>0.05) difference was observed between the true and predicted values for all the proximate composition. It was concluded that FT-NIR spectroscopy can be used as a promising tool for assessing the proximate composition of mutton.en_US
dc.identifier.urihttps://krishikosh.egranth.ac.in/handle/1/5810197561
dc.keywordsCorrelation coefficients, Fourier transform-near infrared spectroscopy, Mutton, Proximate compositionen_US
dc.language.isoEnglishen_US
dc.pages104-108en_US
dc.relation.ispartofseries;1
dc.subjectVeterinary Scienceen_US
dc.titlePREDICTING PROXIMATE COMPOSITION OF MUTTON BY FOURIER TRANSFORM-NEAR INFRARED SPECTROSCOPYen_US
dc.title.alternativeIndian Journal of Small Ruminantsen_US
dc.typeArticleen_US
dc.volume29en_US
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