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논문 기본 정보

자료유형
학술저널
저자정보
Lee, Hyo-Won (Department of Agriculture, Korea National Open University) Jang, Sungkwon (Department of Agriculture, Korea National Open University) Lee, Hyo-Jin (Department of Landscape Architecture, Sungkyunkwan University) Park, Hyung-Soo (National Institute of Animal Science, RDA)
저널정보
한국초지조사료학회 한국초지조사료학회지 한국초지조사료학회지 제34권 제3호
발행연도
2014.1
수록면
214 - 218 (5page)

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초록· 키워드

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This study was conducted to assess the feasibility of near-infrared reflectance spectroscopy (NIRS) as a rapid and reliable method for the estimation of crude protein (CP) fractions in forage legume mixtures (sudangrass and pea mixture, and kidney bean and potato mixture). A total of 178 samples were collected and their spectral reflectance obtained in the range of 400~2,500 nm. Of these, 50 samples were selected for calibration and validation, and 35 samples were used for calibration of the data set, and the modified partial least square regression (MPLSR) analysis was performed. The correlation coefficient ($r^2$) and the standard error of cross-validation (SECV) of the calibration models in the CP fractions, A, B1, B2, B3, and C, were 0.94 (1.05), 0.92 (0.74), 0.96 (0.95), 0.91 (0.42), and 0.83 (0.38), respectively. Fifteen samples were used for equation validation, and the $r^2$ and the standard error of prediction (SEP) were 0.87 (1.45), 0.91 (0.49), 0.94 (1.13), 0.36 (0.96), and 0.74 (0.67), respectively. This study showed that NIRS could be an effective tool for the rapid and precise estimation of CP fractions in forage legume mixtures.

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