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논문 기본 정보

자료유형
학술저널
저자정보
Choi, Sung Won (Korea Spectral Products) Park, Chang Hee (Korea Spectral Products) Lee, Chang Sug (Korea Spectral Products) Kim, Dong Hee (Korea Spectral Products) Park, Sung Kwon (National Institute of Animal Science, RDA) Kim, Beob Gyun (Department of Animal Science and Technology, Konkuk University) Moon, Sang Ho (School of Food Bio Science, Konkuk University)
저널정보
한국초지조사료학회 한국초지조사료학회지 한국초지조사료학회지 제33권 제3호
발행연도
2013.1
수록면
177 - 184 (8page)

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This work was conducted to assess the use of Near-infrared reflectance spectroscopy (NIRS) as a technique to analyze nutritional constituents of Distillers dried grain with solubles (DDGS) and corn quickly and accurately, and to apply an NIRS-based indium gallium arsenide array detector, rather than a NIRS-based scanning system, to collect spectra and induce and analyze calibration equations using equipment which is better suited to field application. As a technique to induce calibration equations, Partial Least Squares (PLS) was used, and for better accuracy, various mathematical transformations were applied. A multivariate outlier detection method was applied to induce calibration equations, and, as a result, the way of structuring a calibration set significantly affected prediction accuracy. The prediction of nutritional constituents of distillers dried grains with solubles resulted in the following: moisture ($R^2$=0.80), crude protein ($R^2$=0.71), crude fat ($R^2$=0.80), crude fiber ($R^2$=0.32), and crude ash ($R^2$=0.72). All constituents except crude fiber showed good results. The prediction of nutritional constituents of corn resulted in the following: moisture ($R^2$=0.79), crude protein ($R^2$=0.61), crude fat ($R^2$=0.79), crude fiber ($R^2$=0.63), and crude ash ($R^2$=0.75). Therefore, all constituents except for crude fat and crude fiber were predicted for their chemical composition of DDGS and corn through Near-infrared reflectance spectroscopy.

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