PREDICTION OF THE NUTRITIVE VALUE OF PASTURE SILAGE BY NEAR INFRARED SPECTROSCOPY (NIRS)

被引:0
|
作者
Restaino, Ernesto A. [2 ]
Fernandez, Enrique G. [2 ]
La Manna, Alejandro [2 ]
Cozzolino, Daniel [1 ]
机构
[1] Australian Wine Res Inst, Glen Osmond, SA 5064, Australia
[2] Inst Nacl Invest Agropecuaria La Estanzucla, Estac Expt Alberto Boerger, Colonia, Uruguay
来源
关键词
silage; nutritive value; near infrared reflectance spectroscopy; pastures; REFLECTANCE SPECTROSCOPY; GRASS-SILAGE; CHEMICAL-COMPOSITION; DIGESTIBILITY;
D O I
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中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The aim of this study was to investigate the use of near infrared reflectance (NIRS) spectroscopy to predict the nutritive value of silages from pastures and to assess the effect of silage structure type (e. g. bunker and bag silos) on the NIRS predictions. Samples (n = 120) were sourced from commercial farms and analyzed in a NIRS monochromator instrument (NIR Systems, Silver Spring, Maryland, USA) using wavelengths between 400 and 2500 nm in reflectance. Calibration models were developed between chemical and NIRS spectral data using partial least squares (PLS) regression. The coefficients of determination in calibration (R-2) and the standard error in cross validation (SECV) were 0.73 (SECV: 1.2%), 0.81 (SECV: 2.0%), 0.75 (SECV: 6.6%), 0.80 (SECV: 6.7%), 0.80 (SECV: 4.0%), 0.60 (SECV: 3.6%) and 0.70 (SECV: 0.34) for ash, crude protein (CP), neutral detergent fiber (NDF), dry matter (DM), acid detergent fiber (ADF), in vitro dry matter digestibility (IVDMD) and pH, respectively. The results showed the potential of NIRS to analyze DM, ADF and CP in silage samples from pastures.
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页码:560 / 566
页数:7
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