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Mathematical models in broiler raising

Published online by Cambridge University Press:  23 March 2009

J. Zoons ,
J. Buyse  and
E. Decuypere
J. Zoons
Affiliation:
Laboratory for Physiology of Domestic Animals, Faculty of Agricultural Sciences, Catholic University of Leuven, Kardinaal Mercierlaan 92, 3001 Herverlee, Belgium
J. Buyse
Affiliation:
Laboratory for Physiology of Domestic Animals, Faculty of Agricultural Sciences, Catholic University of Leuven, Kardinaal Mercierlaan 92, 3001 Herverlee, Belgium
E. Decuypere
Affiliation:
Laboratory for Physiology of Domestic Animals, Faculty of Agricultural Sciences, Catholic University of Leuven, Kardinaal Mercierlaan 92, 3001 Herverlee, Belgium
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Abstract

Among poultry scientists there is an increasing interest in model building because models are useful in the investigation of the economic consequences of management decisions and in identifying gaps in current knowledge of the biological processes involved in production. In addition to empirical formulae giving the relationship between one or two dependent and one or more independent variables, more mechanistic models are needed to solve problems which involve more detailed ‘what if’ questions, in particular, those that take into account interactions between several factors influencing growth and require a fundamental knowledge of growth processes. The advantage of these models is that they can be used in a broader range of circumstances than empirical models. The development of such mechanistic models serves to identify several remaining gaps in our fundamental knowledge of the causal mechanisms of growth. The mechanistic models described in this review can be seen as a collection of several empirical models, each representing a part of the total biological growth process.

It can be concluded that in future a more quantitative exploration of the causal mechanisms in growth and their interactions with the environment will be needed for the development of a mechanistic, stochastic and dynamic model of growth in a broiler population.

Keywords

Broilersgrowthmodels
Type
Reviews
Information
World's Poultry Science Journal , Volume 47 , Issue 3 , November 1991 , pp. 243 - 255
Copyright
Copyright © Cambridge University Press 1991

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