ORIGINAL PAPER
A dynamic model of feed intake regulation in dairy cows. Model evaluation
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1
Research Centre Foulum, Danish Institute of Agricultural Sciences, Department of Animal Nutrition and Physiology, PO Box 50, DK-8830 Tjele, Denmark
 
2
EEA Anguil “Ing Agr. Guillermo Covas”, Instituto Nacional de Tecnología Agropecuaria, P.O. Box 11, 6326 Anguil, La Pampa, Argentina
 
 
Publication date: 2004-01-14
 
 
Corresponding author
H. Petruzzi   

Research Centre Foulum, Danish Institute of Agricultural Sciences, Department of Animal Nutrition and Physiology, PO Box 50, DK-8830 Tjele, Denmark
 
 
J. Anim. Feed Sci. 2004;13(1):25-49
 
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ABSTRACT
The objective of this work was the evaluation of a feed intake regulation model for dairy cows described in a previous paper. Sensibility analysis revealed that the model is sensible mainly to those parameters defining the upper limit of NDF rumen digesta. The level of sensibility varies with the energy content of the diet evaluated and with the time in the lactation cycle where the sensibility analysis is done. A total of 17 treatments from a series of experiments were used to compare experimentally observed feed intake and body condition score (BCS) of dairy cows with model predictions of these variables. Feed intake, either throughout the whole lactation period or as an average for a certain period of it, is predicted by the model with an acceptable degree of accuracy for most of the treatments. Typical curves of feed intake are predicted by the model for most of the treatments. Accuracy of prediction of BCS depends on the treatment being evaluated. However, losses of BCS are predicted at the beginning of the lactation period followed by a gradual increase in BCS. The interplay between energy transactions and rumen digesta load constitutes an acceptable framework on which mechanistic models of feed intake regulation can be developed.
 
CITATIONS (4):
1.
A dynamic model to predict fat and protein fluxes and dry matter intake associated with body reserve changes in cattle
Luis O. Tedeschi, Danny G. Fox, Paul J. Kononoff
Journal of Dairy Science
 
2.
Invited review: Body condition score and its association with dairy cow productivity, health, and welfare
J.R. Roche, N.C. Friggens, J.K. Kay, M.W. Fisher, K.J. Stafford, D.P. Berry
Journal of Dairy Science
 
3.
Towards a biological basis for predicting nutrient partitioning: the dairy cow as an example
N. Friggens, J. Newbold
animal
 
4.
The effect of breed and parity on curves of body condition during lactation estimated using a non-linear function
N.C. Friggens, J.H. Badsberg
animal
 
ISSN:1230-1388
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