Prediction of fiber, ash and organic matter digestibility in untreated maize stover by near infrared reflectance spectroscopy

Fassio, A, Restaino, E and Cozzolino, D 2014, 'Prediction of fiber, ash and organic matter digestibility in untreated maize stover by near infrared reflectance spectroscopy', Agro Sur, vol. 42, no. 1, pp. 81-86.


Document type: Journal Article
Collection: Journal Articles

Title Prediction of fiber, ash and organic matter digestibility in untreated maize stover by near infrared reflectance spectroscopy
Author(s) Fassio, A
Restaino, E
Cozzolino, D
Year 2014
Journal name Agro Sur
Volume number 42
Issue number 1
Start page 81
End page 86
Total pages 6
Publisher Universidad Austral de Chile * Facultad de Ciencias Agrarias
Abstract Near infrared reflectance (NIR) spectroscopy was used to predict acid and neutral detergent fibre (ADF and NDF), ash, and organic matter digestibility (OMD) in maize stover samples. Samples were analyzed by reference laboratory methods and spectra collected using a NIR spectrophotometer in reflectance (1100 - 2500 nm). Predictive equations were developed using partial least squares (PLS) with full cross validation using second derivative. The coefficient of determination in calibration (R2cal) and the standard error in cross validation (SECV) were for ADF 0.85 (SECV: 16.5 g kg-1 DM), for NDF 0.92 (SECV: 58.4 g kg-1 DM), for ash 0.90 (SECV: 1.9 g kg-1 DM) and for OMD 0.85 (SECV: 10.4 g kg-1 DM). The results from this study suggested that maize stover samples might be analysed by NIR spectroscopy in order to determine ADF, NDF and ash. However, the prediction accuracy is less than desirable to be used for routine analytical purposes.
Subject Food Sciences not elsewhere classified
Keyword(s) Maize stover
NIR
Partial least squares
Nutritive value
Copyright notice ©
ISSN 0304-8802
Versions
Version Filter Type
Access Statistics: 3 Abstract Views  -  Detailed Statistics
Created: Mon, 29 Apr 2019, 13:04:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us