Utilization of near infrared reflectance spectroscopy for prediction of the nutritional composition of beef and pork samples

dc.citation.epage15en_US
dc.citation.spage14en_US
dc.contributor.authorLagombra, Gregorio Garcia
dc.contributor.authorHarbers, L.H.
dc.contributor.authorVelazco, J.
dc.contributor.authorMorrill, J.L.
dc.contributor.authorMaziya, B.B.
dc.contributor.authorHarbers, C.A.Z.
dc.date.accessioned2010-10-14T17:54:56Z
dc.date.available2010-10-14T17:54:56Z
dc.date.issued2010-10-14T17:54:56Z
dc.date.published1991en_US
dc.description.abstractNear-infrared reflectance spectroscopy (NIRS) offers the potential for rapid, low-cost analyses of meat samples. Beef and pork samples were analyzed by both standard laboratory (AOAC) methods and NIRS. Regression equations were developed to relate the two methods. Coefficients of determination between NIRS and AOAC results were .929 for dry matter, .965 for crude protein, and .996 for ether extract. NIRS and AOAC procedures yielded very similar results (DM, 38.82 vs 38.58; CP, 17.78 vs. 17.83; and EE, 18.83 vs. 18.00). NIRS appears to be a rapid and reliable predictor of nutritional composition of ground beef and pork based on regression equations we have developed with a limited number of samples.en_US
dc.description.conferenceCattlemen's Day, 1991, Kansas State University, Manhattan, KS, March 1, 1991en_US
dc.identifier.urihttp://hdl.handle.net/2097/6321
dc.publisherKansas State University. Agricultural Experiment Station and Cooperative Extension Serviceen_US
dc.relation.isPartOfCattlemen’s Day, 1991en_US
dc.relation.isPartOfKansas Agricultural Experiment Station contribution; no. 91-355-Sen_US
dc.relation.isPartOfReport of progress (Kansas State University. Agricultural Experiment Station and Cooperative Extension Service); 623en_US
dc.subjectBeefen_US
dc.subjectNear infrared reflectance spectroscopyen_US
dc.subjectPork/beef equationsen_US
dc.titleUtilization of near infrared reflectance spectroscopy for prediction of the nutritional composition of beef and pork samplesen_US
dc.typeConference paperen_US

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