Hjw. Vanroermund et al., BIOLOGICAL-CONTROL OF GREENHOUSE-WHITEFLY WITH THE PARASITOID ENCARSIA-FORMOSA ON TOMATO - AN INDIVIDUAL-BASED SIMULATION APPROACH, Biological control, 9(1), 1997, pp. 25-47
Biological control strategies of greenhouse whitefly with the parasito
id Encarsia formosa were studied with a simulation model of the parasi
toid-host interaction in a crop. The model is based on developmental b
iology of both insect species and on the searching and parasitization
behavior of individual parasitoids, in relationship to host plant char
acteristics and greenhouse climate. The model includes stochasticity a
nd a spatial structure which is based on location coordinates of plant
s and leaves. The simulated population increase of greenhouse whitefly
in the absence or presence of parasitoids agreed well. with observed
populations in a tomato crop. Whiteflies were suppressed rather than r
egulated by the parasitoids at extremely low densities (<0.3 unparasit
ized pupae per plant), but did not become extinct. The percentage of b
lack pupae fluctuated between 40 and 70%. According to the model, the
parasitoid adults reached high densities of 7.4 per plant, but due to
the low whitefly density not more than 1% of the parasitoids were sear
ching on infested leaflets. The degree of whitefly control was strongl
y affected by variation in giving up time (GUT) of the parasitoids. Wh
en variation in GUT was excluded in the model, the whitefly population
became almost extinct. Other important parameters of the parasitoid w
hich strongly influenced the level of control were the walking speed a
nd walking activity, the probability of oviposition after encountering
a host, the ratio of search times on both leaf sides, and the longevi
ty. The combined effect of these important attributes of a parasitoid
can be tested with the model. When comparing successes of E. formosa o
n different crops, attention should be focused on the same parameters
plus the whitefly development duration and the number, size, and produ
ction of leaves in the canopy. The model can be used to evaluate a num
ber of release strategies on several crops and under various greenhous
e climate conditions. (C) 1997 Academic Press.