Institute of Crop Science and Plant Breeding, Grass and Forage Science/Organic Agriculture,
Christian-Albrechts-University Kiel,
Olshausenstr. 40, D-24098 Kiel, Germany
CORRESPONDING AUTHOR
A. Herrmann
Institute of Crop Science and Plant Breeding, Grass and Forage Science/Organic Agriculture,
Christian-Albrechts-University Kiel,
Olshausenstr. 40, D-24098 Kiel, Germany
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 profiles by fitting an exponential model and 2. by calculating GP for various incubation
intervals. In the first approach, NIRS prediction equations could explain a high proportion
of variability related to the fermentation 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 second approach NIRS calibration was acceptable for GP in several incubation intervals,
but validation showed satisfactory results for intervals 3-7, 7-12, and 7-16 h of stover samples
only (R²>0.74). Further research is required to elucidate potential sources of error before obtaining
robust NIRS equations.
CITATIONS(2):
1.
Determination of Methane Fermentation Yield and its Kinetics by near Infrared Spectroscopy and Chemical Composition in Maize Christoph Grieder, Greta Mittweg, Baldev S. Dhillon, Juan M. Montes, Elena Orsini, Albrecht E. Melchinger Journal of Near Infrared Spectroscopy
Accuracy of two optical chlorophyll meters in predicting chemical composition and in vitro ruminal organic matter degradability of Brachiaria hybrid, Megathyrsus maximus , and Paspalum atratum Martin Hughes, Victor Mlambo, Cicero Lallo, Nasreldin Basha, Ignatius Nsahlai, Paul Jennings Animal Nutrition
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