Prediction of crude protein and neutral detergent fibre concentration in residues of in situ ruminal degradation of pasture samples by near-infrared spectroscopy (NIRS)
J. P. Keim A , H. Charles B and D. Alomar A C
+ Author Affiliations
- Author Affiliations
A Animal Production Institute, Faculty of Agricultural Sciences, Universidad Austral de Chile, Independencia 641, Valdivia, Chile.
B Graduate School, Faculty of Agricultural Sciences, Universidad Austral de Chile, Independencia 641, Valdivia, Chile.
C Corresponding author. Email: dalomar@uach.cl
Animal Production Science 56(9) 1504-1511 https://doi.org/10.1071/AN14822
Submitted: 17 September 2014 Accepted: 26 February 2015 Published: 24 April 2015
Abstract
An important constraint of in situ degradability studies is the need to analyse a high number of samples and often with insufficient amount of residue, especially after the longer incubations of high-quality forages, that impede the study of more than one nutritional component. Near-infrared spectroscopy (NIRS) has been established as a reliable method for predicting composition of many entities, including forages and other animal feedstuffs. The objective of this work was to evaluate the potential of NIRS for predicting the crude protein (CP) and neutral detergent fibre (NDF) concentration in rumen incubation residues of permanent and sown temperate pastures in a vegetative stage. In situ residues (n = 236) from four swards were scanned for their visible-NIR spectra and analysed for CP and NDF. Selected equations developed by partial least-squares multivariate regression presented high coefficients of determination (CP = 0.99, NDF = 0.95) and low standard errors (CP = 4.17 g/kg, NDF = 7.91 g/kg) in cross-validation. These errors compare favourably to the average concentrations of CP and NDF (146.5 and 711.2 g/kg, respectively) and represent a low fraction of their standard deviation (CP = 38.2 g/kg, NDF = 34.4 g/kg). An external validation was not as successful, with R2 of 0.83 and 0.82 and a standard error of prediction of 14.8 and 15.2 g/kg, for CP and NDF, respectively. It is concluded that NIRS has the potential to predict CP and NDF of in situ incubation residues of leafy pastures typical of humid temperate zones, but more robust calibrations should be developed.
Additional keywords: forage evaluation, high quality forage, in sacco degradability, rumen fermentation, temperate pastures.
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