Written Paper

Dynamics of the parasitic population: Megninia ginglymura Mégnin (Acari: Analgidae): modelling criteria  [2007]

Hernández, M., Laboratorios de Investigaciónes y Diagnóstico Aviar SZCZYPEL, B., Laboratorios de Investigaciónes y Diagnóstico Aviar Larramendy,R., Laboratorios de Investigaciónes y Diagnóstico Aviar Temprana, M., Laboratorios de Investigaciónes y Diagnóstico Aviar et al.

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ntegrated control of ectoparasites of veterinary importance is being implemented on a limited basis at present and mainly on Megninia ginglymura Mégnin (Acari: Analgidae) which there is not enough ecological studies. The chicken mite, M. ginglymura spend their entire life cycle on the host and laying their eggs on the feathers. They are very habitat specific on their hosts, preferring different parts of the chicken body and even different parts of particular feathers: the mites are in clusters on the head, back, thigh, breast, underside of the wings, around the vent and on the tail. At high levels of infestation, attacks by the mite can cause prurigo, increased stress to the chickens and subsequently reduce the egg production. Unfortunately, there is no clear relationship between the degree of association with the host and the relationship between M. ginglymura density, despite this information is needed to implement control measures. Considering that early detection of mites by prediction of the flock is the best control of mite infestation, M. gingliymura populations were sampled weekly during January, 2005 to June, 2006, in order to establish a computer simulation models based on a quantitative ecological database. It was found that M. ginglymura population had a particular relathionship with the insect Lipeurus caponi Lin. (Insecta: Phiroptiridae) but it was proved that there is not a competitive interspecific relatioship. The model showed that the pop
ulation level behaviour is approximated accurately by a exponential logistic equation. The logistic model explained the 98% and the 88% of mites and insects populational viariation respectively. It allowed to determine K for both populations: mites density reached a mean of 9.88 mites and K value for the insects was 2.01. It means that the chickens are infested mainly by M. ginglymura because its reproductive parameters are highier than the insects. The higher M. gingliymura density was located in the back, and when the chickens were just thirtynine weeks old. It was demonstrated how this approximation is obtained mathematically and how the parameters of the exponential logistic equation can be written in terms of the parameters of the M. ginglymura population-based model. The procedure shows how study of animal ecology can be used to derive global models which predict population change over time.