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http://dx.doi.org/10.5333/KGFS.2006.26.1.045

Prediction of the Digestibility and Energy Value of Corn Silage by Near Infrared Reflectance Spectroscopy  

Park Hyung-Soo (National Subtropical Agriculture Institute)
Lee Jong-Kyung (National Livestock Research Institute)
Lee Hyo-Won (Korea National Open University)
Kim Su-Gon (Cheonan Yonam College)
Ha Jong-Kyu (Seoul National University)
Publication Information
Journal of The Korean Society of Grassland and Forage Science / v.26, no.1, 2006 , pp. 45-52 More about this Journal
Abstract
This study was carried out to explore the accuracy of Near Infrared Reflectance Spectroscopy (NIRS) fer 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$(R^2)$ 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$(R^2v)$ on the validation set(n=39) was used in comparing the prediction accuracy. The SEP value was 0.30(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 fer lactation(NEL) and metabolizable energy(ME). This paper shows the potential of NIRS to predict the digestibility and energy value of con silage as a routine method in feeding programmes and for giving advice to farmers.
Keywords
NIRS; Quality; Digestibility; Energy value; Corn silage;
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