ORIGINAL PAPER
Predicting feeding value of forage maize hybrids harvested at different maturities and sites
S. J. Krizsan 1  
,   Z. Mussadiq 1, 2,   M. Hetta 1,   M. Ramin 1,   L. Nyholm 3,   P. Huhtanen 1
 
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1
Swedish University of Agricultural Sciences, Department of Agricultural Research for Northern Sweden, SE–901 83 Umeå, Sweden
2
Szent Istaván University, Faculty of Agricultural and Environmental Sciences, H-2100 Gödöllö, Hungary
3
Valio Ltd., Farm Services, PO Box 10, FI-00039 Valio, Finland
CORRESPONDING AUTHOR
S. J. Krizsan   

Swedish University of Agricultural Sciences, Department of Agricultural Research for Northern Sweden, SE–901 83 Umeå, Sweden
Publication date: 2014-08-20
 
J. Anim. Feed Sci. 2014;23(3):269–278
 
KEYWORDS
ABSTRACT
The objective of this study was to evaluate two near-infrared reflectance spectroscopy (NIRS) applications and different laboratory methods for determining indigestible neutral detergent fibre (iNDF) and organic matter digestibility (OMD) of forage maize hybrids harvested at high latitudes. Different in situ and in vitro methods have been used in calibrations of NIRS for routine determinations of forage feed value in the Nordic countries. Swedish and Finnish NIRS calibrations of iNDF generated biased estimates of low precision of iNDF determined in situ. All methods used to predict OMD in forage maize systematically underestimated the observed OMD calculated from the in situ determined value of iNDF. Digestibility was determined with least precision based on the enzymatic in vitro procedure. Values of OMD based on the in vitro incubation in buffered rumen fluid displayed the smallest error among the laboratory methods. The NIRS calibration developed with the forage maize samples of this study, suggested that NIRS has a great potential to predict iNDF and OMD of forage maize accurately and precisely. It was concluded that NIRS predictions of OMD can be a promising tool for evaluating performance of forage maize hybrids at high latitudes if NIRS calibrations of iNDF including forage maize samples are available.
 
CITATIONS (3):
1.
Prediction of nutritive values, morphology and agronomic characteristics in forage maize using two applications of NIRS spectrometry
Mårten Hetta, Zohaib Mussadiq, Johanna Wallsten, Magnus Halling, Christian Swensson, Paul Geladi
Acta Agriculturae Scandinavica, Section B — Soil & Plant Science
 
2.
Effects of ensiling time on corn silage neutral detergent fiber degradability and relationship between laboratory fiber analyses and in vivo digestibility
A.N. Hristov, M.T. Harper, G. Roth, C. Canale, P. Huhtanen, T.L. Richard, K. DiMarco
Journal of Dairy Science
 
3.
Characterization of the nutritive value of perennial ryegrass (Lolium perenne L.) dominated pastures using updated chemical methods with application for the Cornell Net Carbohydrate and Protein System
M. Dineen, B. McCarthy, D. Ross, A. Ortega, P. Dillon, Amburgh Van
Animal Feed Science and Technology
 
ISSN:1230-1388