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Prediction of the metabolizable energy value of whole-crop wheat from laboratory-based measurements

Published online by Cambridge University Press:  18 August 2016

A.T. Adesogan ,
E. Owen  and
D.I. Givens
A.T. Adesogan
Affiliation:
Department of Agriculture, University of Reading, Earley Gate, Reading RG6 6AT Feed Evaluation and Nutritional Sciences, ADAS Drayton, Alcester Road, Stratford-upon-Avon CV37 9RQ
E. Owen
Affiliation:
Department of Agriculture, University of Reading, Earley Gate, Reading RG6 6AT
D.I. Givens
Affiliation:
Feed Evaluation and Nutritional Sciences, ADAS Drayton, Alcester Road, Stratford-upon-Avon CV37 9RQ
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Abstract

The accuracy with which several laboratory-based measurements predict the metabolizable energy (ME) value of whole-crop wheat (WCW) was determined. Twenty-six WCW forages differing in variety (cv. Slepjner, Hussar and Cadenza), maturity at harvest (milk, cheese and dough stages) and treatment applied (urea-treated, untreated or acid-based additive treated) were harvested in 2 years and conserved anaerobically in 200·1 barrels. The forages were then scanned using near infrared reflectance spectroscopy (NIRS) and analysed for chemical composition, in vitro rumen fluid-pepsin digestibility, in vitro neutral detergent-cellulase plus gamannase digestibility, in vitro fermentation gas production and in situ rumen degradability. ME was calculated using measured energy losses in faeces and urine and predicted energy losses as methane. The relationships between ME and the laboratory-based measurements were determined by regression. Gross energy was consistently the best predictor of ME (R2 = 0.53 and 0.86 in years 1 and 2 respectively). However the autocorrelation involved, militates against the prediction of ME from gross energy. None of the chemical constituents or biological techniques gave a good, robust prediction of ME. However, an NIRS calibration developed using the WCW samples was highly correlated (R2 = 0.68) with ME. This work therefore suggests that traditional laboratory-based, food evaluation techniques are unsuitable for predicting the ME content of WCW but that NIRS holds promise.

Keywords

in vitro digestibilitymetabolizable energysilagewhole-crop silage
Type
Research Article
Information
Animal Science , Volume 69 , Issue 2 , October 1999 , pp. 427 - 439
Copyright
Copyright © British Society of Animal Science 1999

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