근적외선분광법을 이용한 옥수수 사일리지의 소화율 및 에너지 평가 = Prediction of the Digestibility and Energy Value of Corn Silage by Near Infrared Reflectance Spectroscopy

다국어 초록 (Multilingual Abstract)

This study was carried out to explore the accuracy of Near Infrared Reflectance Spectroscopy (NIRS) for the prediction of digestibility and energy value of corn silages. The spectral data were regressed against a range of digestibility and energy parameters using modified partial least squares(MPLS) multivariate analysis in conjunction with first and second order derivatization, with scatter correction procedure(SNV-Detrend) to reduce the effect of extraneous noise. Calibration models for NIRS measurements gave multivariate correlation coefficients of determination(R²) and standard errors of cross validation of 0.92(SECV 1.73), 0.91(SECV 1.13) and 0.93(SECV 1.74) for in vitro dry matter digestibility(IVDMD), in vitro true digestibility(IVTD), and cellulase dry matter digestibility(CDMD), respectively. The standard error of prediction(SEP) and the multiple correlation coefficient of validation(R²v) on the validation set(n = 39) was used in comparing the prediction accuracy. The SEP value was 0.80(TDN), 0.01(NEL), and 0.01(ME). The relative ability of NIRS to predict digestibility and energy value was very good for CDMD, total digestible nutrients(TDN), net energy for lactation(NEL) and metabolizable energy(ME). This paper shows the potential of NIRS to predict the digestibility and energy value of corn silage as a routine method in feeding programmes and for giving advice to farmers.

목차 (Table of Contents)

• ABSTRACT
• Ⅰ. 서론
• Ⅱ. 재료 및 방법
• Ⅲ. 결과 및 고찰
• Ⅳ. 요약
• Ⅴ. 인용문헌

참고문헌 (Reference)

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