Predicting nutritional composition of corn grain using near infrared reflectance spectroscopy

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dc.contributor.author Garcia-Lagombra, G.
dc.contributor.author Harbers, L.H.
dc.date.accessioned 2010-11-02T19:44:20Z
dc.date.available 2010-11-02T19:44:20Z
dc.date.issued 2010-11-02
dc.identifier.uri http://hdl.handle.net/2097/6421
dc.description.abstract Corn grain samples collected over several years were used to develop equations for dry matter, crude protein, crude fiber, and ether extract (crude fat). Two computer models were used to select samples having a range of spectra (presumably a range of nutrient values) for developing calibration equations. Both methods selected an unexpectedly small number of samples; however, only the prediction of crude fiber appears questionable. Although coefficients of determination values are expected to be low with a small number of samples, standard errors of validation and prediction are consistently lower than those of standard (AOAC) methods, suggesting that the technology is reliable for nutrient analysis of corn grain. en_US
dc.publisher Kansas State University. Agricultural Experiment Station and Cooperative Extension Service en_US
dc.relation.isPartOf Cattlemen’s Day, 1991 en_US
dc.relation.isPartOf Kansas Agricultural Experiment Station contribution; no. 91-355-S en_US
dc.relation.isPartOf Report of progress (Kansas State University. Agricultural Experiment Station and Cooperative Extension Service); 623 en_US
dc.subject Beef en_US
dc.subject Corn analysis en_US
dc.subject Near infrared spectroscopy en_US
dc.title Predicting nutritional composition of corn grain using near infrared reflectance spectroscopy en_US
dc.type Conference paper en_US
dc.date.published 1991 en_US
dc.citation.epage 109 en_US
dc.citation.spage 108 en_US
dc.description.conference Cattlemen's Day, 1991, Kansas State University, Manhattan, KS, March 1, 1991 en_US

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