ORIGINAL PAPER
Prediction of silage digestibility by near infrared
reflectance spectroscopy
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College of Engineering, China Agricultural University,
Beijing 100083, P.R. China
Publication date: 2008-10-27
Corresponding author
X. Liu
College of Engineering, China Agricultural University,
Beijing 100083, P.R. China
L. Han
College of Engineering, China Agricultural University,
Beijing 100083, P.R. China
J. Anim. Feed Sci. 2008;17(4):631-639
KEYWORDS
ABSTRACT
A total of 142 silage samples were used to evaluate the ability of near infrared reflectance
spectroscopy (NIRS) to predict dry matter (DM) and neutral detergent fibre (NDF) digestibility.
Three techniques, Partial Least Square (PLS), Principal Component Regression (PCR) and
Multivariate Linear Regression (MLR), and a series of mathematical treatments were applied to
establish the NIRS calibrations. The F-test and T-test of correlativity between reference and NIRS
values of silage samples in validation set were carried out to verify the models. Results showed the
PLS technique gave the best prediction and calibrations, and that the calibrations developed from the
combination of smooth and first-order derivative treatment were largely acceptable. The prediction
of DM digestibility of dried samples was good with the determination coefficient of validation (r²)
being greater than 0.80. The prediction of dried samples was better than that of fresh samples. The
relative standard deviation (RSD) values of DM digestibility for dried and fresh samples were 8.25
and 11.26%, respectively. As for NDF digestibility, the RSD values were higher, being of 22.87 and
23.50% for dried and fresh samples, respectively.
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