Author:
Blanc Fabienne,Martin Graeme B.,Bocquier François
Abstract
During the last few decades, our knowledge of the biology of the reproductive
system has improved significantly and also become more quantitative. In
parallel, there has been an increase in the development of mathematical
models, as both research tools and management tools, that can integrate our
knowledge of reproductive events and then attempt to predict reproductive
efficiency. This review considers these modelling approaches according to the
level of organization that they address, from representation of the dynamic
functions of the reproductive axis to the prediction of reproductive
performance of a flock or herd. We emphasize the contribution of modelling to
the exploration and understanding of a complex system—a system that
responds to a host of internal regulatory mechanisms as well as to an array of
external factors such as nutrition, photoperiod and sociosexual signals. To
date, models have proven useful for depicting the kinetics of some of the
endocrine signals that are implicated in perturbations of the reproductive
axis and they have also been successful in the exploration of ovarian dynamics
during the oestrous cycle. However, two areas are still largely unexplored by
biomathematical models: the dynamic links between the different stages of the
reproductive life of an animal, and mechanistic influences of environmental
factors on the reproductive axis.
Subject
Developmental Biology,Endocrinology,Genetics,Molecular Biology,Animal Science and Zoology,Reproductive Medicine,Biotechnology
Cited by
22 articles.
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