Prediction of gas production kinetics of maize stover and ear by near infrared reflectance spectroscopy
Year: 2008
Type: article
Abstract: This study was conducted to evaluate the potential of NIRS to predict gas production (GP) kinetics for maize ear and stover.Two approaches were applied to characterize GP kinetics: 1. describing GP profi les by fi tting an exponential model and 2. by calculating GP for various incubation intervals.In the fi rst approach, NIRS pre dic tion equations could explain a high proportion of variability related to the fermen ta tion rate (c), the asymptotic GP (A), and the lag phase (L) of ear samples in the calibration sub set (R²: 0.81-0.87),while for stover predictive ability was inferior.Validation showed satisfactory results only for the fermentation rate (R²: 0.81-0.88).In the se cond approach NIRS calibration was acceptable for GP in several incubation inter vals, but validation showed satisfactory results for intervals 3-7, 7-12, and 7-16 h of sto ver samples only (R²>0.74).Further research is required to elucidate potential sources of error before obtaining robust NIRS equations.
Authors: S. Kruse, A. Herrmann, R. Loges, F. Taube
Institution: Christian-Albrechts-Universität zu Kiel
Language: English
Subfield: Analytical Chemistry
Field: Chemistry
Domain: Physical Sciences
SDG: Zero hunger
Open Access status: hybrid
Funder: Allianz Industrie Forschung
OpenAlex ID: W2019130800