Abstract :
A dynamic model of the lactating dairy goat, combining a minimum of mechanistic representations of homeorhetic regulations
and a long-term approach, was developed. It describes (i) the main changes in body weight, dry-matter intake, milk production
and composition of a dairy goat; (ii) the succession of pregnancy and lactation throughout the productive life; and (iii) the
major changes in dynamics induced by the female profile (production potential and body weight at maturity). The model adopts
a ‘pull’ approach including a systematic expression of the production potential and not representing any feed limitation. It
involves three sub-systems. The reproductive events sub-system drives the dynamics through time with three major events:
service, kidding and drying off. It also accounts for the effect of production potential (kg of milk at the peak of lactation) and
lactation number (potential reached at the fourth lactation). The regulating sub-system represents the homeorhetic mechanisms
during pregnancy and lactation with two sets of theoretical hormones, one representing gestation and the other lactation. The
operating sub-system describes the main physiological flows and the energetic requirements linked to these functions through
a compartmental structure. Simulations were run in order to test (i) the behaviour of the model at the scale of the productive
life for an average profile of female (60 kg at maturity and 4 kg of milk at peak); (ii) the sensitivity of the simulated dynamics
(mainly milk production and body reserves) to the production potential and body weight at maturity; (iii) external validation
with comparison of model outputs to data from the experimental flock of Grignon and data from the French milk record
organization (French organism in charge of animal recording for dairy farmers). The results at the scale of one productive life
show the model simulates a relevant set of dynamics. The sensitivity analysis suggests that the model fairly well simulates the
link between a female’s ability to produce and mobilise reserves. Finally, external validation confirms the model’s ability to
simulate a relevant set of physiological dynamics while pointing out some limits of the model (simulation of milk fat and
protein content dynamics, for example). The results illustrate the relevance of the model in simulating biological dynamics and
confirm the possibility of including minimum representations of homeorhetic regulations with a simple structure. This simplicity
gives an opportunity to integrate this basic element in a herd simulator and test interactions between females’ regulations
and management rules.
Keywords :
dairy goats , homeorhetic control , physiological functions , Dynamic Models