Table des matières
La lutte biologique est un des moyens plus efficaces de contrôle de la mouche blanche des serres, Trialeurodes vaporariorum . Cette étude examine l’interaction entre différents ennemis naturels de la mouche blanche y inclus le prédateur Dicyphus hesperus , le parasitoïde Encarsia formosa et l’entomopathogène Beauveria bassiana dans les cultures de tomates en serres. Cette étude avait comme but particulier de décrire l’impact de B. bassiana sur la lutte biologique par D. hesperus ou E. formosa . En serre expérimentale, des populations de la mouche blanche, du parasitoide et du prédateur ont été manipulées. En compartiments traités, trois applications du pathogène d’une concentration moyenne de 5.13 x 103 conidia/mm2 ont été effectuées en 27 jours. Le pathogène B. bassiana a réduit significativement le nombre de mouches blanches saines sans diminuer le nombre de parasitoïdes ou de prédateurs. Par contre, l’entomopathogène a eu un effet néfaste sur le taux de prédation, ce qui pourrait être réduit par l’aménagement de refuges spatiaux ou temporels pour la protection du prédateur.
Biological control is one of the most effective strategies of greenhouse whitefly, Trialeurodes vaporariorum control. This study investigates the outcome of interactions among whitefly natural enemies including the predator Dicyphus hesperus , parasitoid Encarsia formosa and entomopathogen Beauveria bassiana on greenhouse tomato crops. Our objective was to determine whether B. bassiana would disrupt biological control by interfering with D. hesperus or E. formosa . In experimental greenhouses, whitefly, parasitoid and predator populations were established on tomato crops. In treated compartments, three applications of the entomopathogen, at the dose of 5.13 x 103 conidia/mm2, were made over the course of a 27-day period. Overall, B. bassiana treated compartments had fewer immature whitefly and neither parasitoid nor predator populations were significantly reduced by the pathogen. However, in B . bassiana treated compartments, whitefly predation by D. hesperus was markedly reduced.
The greenhouse whitefly, Trialeurodes vaporariorum Westwood (Homoptera: Aleyrodidae) is an important pest of field and greenhouse crops worldwide (Byrne and Bellows, 1991). It causes yield reduction in many plants as a result of phloem sap extraction by feeding and of honeydew excretion that serves as a medium for the growth of sooty mold (Byrne and Bellows, 1991). Typically, populations of the greenhouse whitefly are characterized by overlapping generations, ensuring a rapid rate of increase (Dreistadt, 2001). Extensive use of insecticides has led to the development of resistance in whiteflies (Gorman et al ., 2002), thereby favouring the development of biological control as an alternative control strategy (Hoddle et al ., 1997, van Lenteren, 2000).
Biological control of the greenhouse whitefly has for many decades depended on inundative releases of the specialist parasitoid Encarsia formosa Gahan (Hymenoptera: Aphelinidae) (Fransen and van Lenteren, 1993). However, under certain environmental conditions, such as in low temperatures, the efficacy of E. formosa is limited (Perdikis and Lykouressis, 2002). In Canada, a large proportion of greenhouse tomato production uses E. formosa in combination with the native and widely distributed predator, Dicyphus hesperus Knight (Hemiptera: Miridae), who though recently introduced is an effective natural enemy on both field and greenhouse vegetable crops (McGregor et al ., 1999). Dicyphus hesperus is particularly appealing as a biological control agent due to its zoophytphagous nature that allows it to feed partly on plants as well as on prey. Plant feeding may permit predators to become established onto crops when prey density is low (Gillespie and McGregor, 2000). Furthermore, being a generalist also enables D. hesperus to prey upon many species of small insect pests (Kelton, 1980; Henry and Wheeler, 1988; Gillespie et al ., 2000). Application of D.hesperus onto greenhouse crops represents a long-term control strategy as the introduced predator establishes and reproduces on a crop so long as adequate resources and environmental conditions are available (Sanchez et al ., 2003).
In situations where whitefly population levels become excessively large and out of control, pathogenic fungi could also be used as an effective means of drastic pest reduction (Kanagartnam et al ., 1982; Mead and Byrne, 1991; Siongers and Coosemans, 2003). In particular, it has been shown that the ubiquitous and generalist hyphomycete Beauveria bassiana (Balsamo) Vuillemin may effectively reduce whitefly populations (Wraight et al ., 2000; Kirk et al ., 2001). The success of products formulated with the conidia of B. bassiana , such as BotaniGard® (Emerald BioAgriculture Corp., Lansing, MI, USA), is due to the long term (1-year) storage capacity of the conidia based powder or suspension at room temperature (Goettel and Hajek 2001). Beauveria bassiana is characterized as a generalist pathogen, having been isolated from over 700 invertebrate host species around the world (Feng et al ., 1994; Butt et al ., 2001). It is therefore expected that B. bassiana may infect non-target natural enemies (Shah and Goettel, 1999).
Increasing experimental evidence indicates that biological control can be disrupted by direct and indirect interactions such as competition, apparent competition, intraguild predation, and behavioral interference between natural enemies (Rosenheim et al ., 1995; Symondson et al ., 2002). Understanding and exploiting interactions among natural enemies are therefore meaningful for implementing effective pest control strategies.
In this study, we examine the compatibility of BotaniGard® a formulation based on the conidia of B. bassiana , strain GHA, with other biological control organisms. We assess the survival of whitefly natural enemies including the parasitoid E. formosa and the predator D. hesperus following applications of the entomopathogen BotaniGard® and measure the effect of pathogen applications on whitefly parasitism and predation. This study was designed to evaluate species interactions at the large-scale greenhouse level. The effect of B. bassiana on whitefly biological control is determined through a comparison of control versus pathogen treated compartments in which there are existing populations of the greenhouse whitefly, the parasitoid E. formosa and the predator D. hesperus .
Tomatoes Lycopersicon esculentum Mill. (Solanaceae, cv. Rhapsodie, Syngenta Seeds, Boise, ID), were grown in two, 12 x 6.4 m glasshouses at the Pacific Agriculture and Agri-Food Research Centre (PARC) in Agassiz, British Columbia. Each glasshouse stood as a block within which four replicates of each of two treatments were applied on 10 plants each, giving a total 80 plants per house. In each glasshouse, eighty tomatoes were seeded in mid December 2002 and seedlings planted on rockwool slabs on January 15, 2003. Plants were arranged in two central rows and two lateral single rows in each glasshouse. Plants within rows were 40 cm apart, central rows being separated by 50 cm, and central and lateral rows by 100 cm. Each house was subdivided longitudinally in two and latitudinally in four sections, to give eight 3 x 1.6 m compartments with 10 plants each. Compartments were separated from each other using a perforated plastic Visqueen fabric (Oxfordshire, UK) to allow airflow, yet prevent movement of introduced organisms including B. bassiana spores. This fabric was suspended from a ceiling infrastructure in order to separate compartments as well as to cover their ceilings. Only natural lighting was used. Temperature was set at 22ºC during the day and 18ºC at night, and relative humidity (RH) at 70%. As of August 16th, or 8 months after seedlings were planted, the hourly temperature and RH were recorded using a 2-channel temperature and relative humidity (HOBO Onset Computer Corp. Bourne, MA) data logger. Humidity levels during the day ranged from 60-80% (House 1) and 56-85% RH (House 2). The mean temperature and % RH (± SEM) were of 23.0 ± 0.1 °C and 57.9 ± 0.3 % RH, respectively.
Table 3-1 Release schedule of greenhouse whitefly and natural enemies over the course of the study in 2003. Indicated are the numbers of organisms released at each date and the concentration of conidia within applied Beauveria bassiana suspensions.
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Three preliminary whitefly releases allowed for a rapid and large build-up of pest populations (Table 3-1). Whiteflies, obtained from Applied Bionomics Corporation, B. C., Canada, were introduced either by placing fourth instar pupae onto the lowest leaf of tomato plants as for the first introduction (August 16) or by direct introduction of adults in the case of the later two introductions (August 29, September 1). Together, these introductions ensured the presence of a large developing whitefly population. By the third whitefly introduction, whitefly had colonized the entire height of the tomato plants. On September 24th, whitefly densities were judged sufficiently large to support the persistence of natural enemies that were introduced either that day or the following day. An initial release of E. formosa and D. hesperus made in late September was followed by one larger parasitoid and two smaller predator releases in October (Table 3-1). Encarsia formosa was first released as adults received from Biobest® Biological systems (Westerlo, Belgium) and subsequent introductions were made by hanging parasitized whitefly cards (Applied Bionomics).
Dicyphus hesperus insects were obtained from a laboratory colony at the PARC research centre, which was initially established from field collected individuals in 1999 from the foothills of the Sierra Nevada Mountains (elevation ca. 300 m, near Woody, CA, USA). These insects were originally found on stem hedge nettle, Stachys albens A. Gray (Lamiaceae). Colonies were maintained in screened wooden cages (38 x 51 x 53 cm) containing tobacco plants at 24.8 ± 1.5˚C (± SD), and under a 16 h photoperiod, and were fed eggs of Ephestia kuehniella Zeller (Lepidoptera: Pyralidae) from Biobest® Biological systems (Westerlo, Belgium). In experiments, four day old adult D. hesperus were added in a 50/50 ratio of males and females.
The first application of BotaniGard® followed the first release of parasitoids and predators (Table 3-1). A second and third application of this pathogen was followed 5 and 26 days after the initial application. This third and final application was applied during a period of high whitefly densities.
Before treatment, in order to determine fungal deposition rate (conidia per mm2), 5% water agar blocks were pinned on the underside of three randomly selected leaves from two plants in each of the eight BotaniGard® compartments. Pinned agar blocks held in place by a piece of plasticine were collected after microbial application and the number of conidia in a set ocular area counted. Entomopathogen applications were made using a hand held pressurized sprayer (11.4 L Model # 65010, Hudson & Industrial, Chicago IL, USA). A small quantity of the fungal suspension was taken from the sprayer early, mid and late during the course of each treatment in order to determine the actual conidial concentration of a suspension through their enumeration using a haemocytometer (Table 3-1). Conidia viability was also determined by spraying the spore suspension onto three 0.005% Benlate® (benomyl, wettable powder 50%, E.I. duPont de Nemours and Co., Wilmington, DE) amended potato dextrose agar (PDA) plates during application. Benlate®-amended plates facilitate counting germinated conidia as benlate halts cell division during mitosis that otherwise causes overgrowth to occur (Goettel and Inglis, 1997). Plates were sealed with Parafilm and incubated at 25ºC for 2 days, after which the proportion of 500 conidia that had germinated from each sample was determined. Viability of conidia was established to be of 97.5, 96.3 and 93.2 % for BotaniGard® treatments 1, 2 and 3, respectively.
Non-destructive sampling of insects on tomato plants was visually performed with the help of a hand lens on a bi-weekly basis starting on September 6th, 22 days before the first BotaniGard® treatment, in order to determine pre-treatment conditions. Two plants within each compartment were randomly selected, on which a leaf from each of the four canopy levels was taken (= 4 leaves x 2 plants/sampling unit). The vertical stratification and sampling of leaves on greenhouse tomato plants provided an accurate account for the abundance of all organisms at each of the life stages as related to leaf age. Plant canopies were delineated by the enumeration of leaves along a plant starting from the top, where canopy 1 = leaves 1 to 5; canopy 2 = leaves 6 to 9; canopy 3 = leaves 10 to 12; canopy 4 = leaves 13 to 15. Entire leaves, composed of several leaflets, were sampled by counting all organisms, even when high densities were observed. The following life stages and species of insects were sampled: whitefly eggs, nymphal stages N1 and N2 (N1-2) of whiteflies, nymphal stages N3 and N4 (N3-4) whiteflies, adult whiteflies, adult parasitoids, E. formosa parasitized whiteflies, adult predators, D. hesperus preyed upon whitefly pupae, infected N1-2 whiteflies, infected N3-4 whiteflies, infected and parasitized whiteflies.
Each class has specific morphological characteristics that we used for identification. Whitefly eggs were identified as small black dots from a distance, that appear spindle shaped when examined with a hand lens. N1-2 whiteflies were also identified using a hand lens. N1 and N2 whitefly instars had characteristic small (<0.5 mm), white, flattened bodies. N3-4 whiteflies were larger in size, and were characterized by thickened bodies and a fringe of hairlike protrusions around the periphery of their waxy cover. When infected with B. bassiana , the colour of immature whitefly generally changed from opaque white to red or brown. In certain cases infected whitefly pupae were identified by the presence of mycelium or hyphae, which protruded around their periphery. Late in the infection process, whiteflies appeared ddehydrated and flattened. Adult whiteflies were mostly found concentrated at the top of tomato plants, but were also occasionally found on lower leaves following emergence.
Adult E. formosa parasitoids measure approximately 0.6 mm in length and are easily detected with the naked eye. Parasitized whiteflies appeared black as they normally do two weeks following the deposition of the parasitoid egg within the host pupae. Early parasitoid development could not be visually detected.
Adult D. hesperus are relatively large insects with a length of approximately 7 mm and are therefore easily detectable at a distance. Dicyphus hesperus consumed prey are left behind on leaves, and thus could be counted by observing the empty whitefly exoskeletons. Though predator consumed whitefly could be confounded with the emptied pupal exoskeletons of emerged adult whitefly, the top surface of empty pupae resulting from predation remained intact whereas emerging adult whitefly from pupae cause a distinct tear or dislocate the top surface of the pupal shell.
The proportion of infected whitefly was determined under laboratory conditions by sampling one leaflet with at least 30 immature whiteflies from each of the 8 compartments per glasshouse. These leaflets were placed within a 15 cm diameter Petri dish on a moistened filter paper, and incubated at 25ºC. Leaflets were kept moist by regularly adding water as needed. Following a 5-day incubation period, infected whitefly that were either sporulating or were red in colour due to B. bassiana ’s production of oosporein, were enumerated and the proportion of infected whitefly calculated over the total number of whitefly per leaflet was determined.
The effects of treatment and time (sample date) were evaluated on the following dependent insect density variables: whitefly egg, N1-2 nymph, N3-4 nymph, and whitefly adult, adult parasitoid, adult predator, parasitized whitefly, predator consumed whitefly and infected whitefly using a repeated measures ANOVA (SAS, 1999). The potential spatial dependency within the same house was accounted for by including the house effect as a random block factor in the model. The inclusion of this term in the ANOVA model removed the variation due to the main plot error or House error. The dependence of observations between experimental units, the compartments, was taken into account within this model. The Compound Symmetry structure specific to the house level was chosen based on the AIC, Akaike information criterion, on the basis of its smallest value among all structures tested. Following a significant treatment or time effect, multiple comparisons were done to identify differences between levels. To achieve normality assumptions, the dependent variables were square root transformed. The homogeneity of variance was verified by graphical visualization of residuals against predicted values.
A house effect was observed for the dependent variables N3-4 T. vaporariorum whitefly, E. formosa parasitoid abundance, parasitized whitefly and B. bassiana infected + parasitized whitefly (Tables 3-2 and 3-4), probably resulting from slight environmental variability between houses. Since only these dependents were affected by the house factor, we conclude that, there was only a minimal house effect.
Over the course of this experiment, dead E. formosa parasitoids and D. hesperus predators were occasionally found on leaves following the application of both water or pathogen treatments (Labbe, personal observation). Since these insects were normally found after the application of water or BotaniGard® in control and treated compartments respectively, drowning was considered an equally important factor in all compartments.
A treatment by time interaction was observed for N3-4 and adult whitefly classes, whereas a treatment effect alone was observed for N1-2 and egg classes (Table 3-2). Over the course of the experiment whitefly populations were lower in B. bassiana treated compartments than in control compartments, with an average of 50.04 ± 1.5% fewer immature whiteflies (Table 3-2 and Figure 3-1). The treatment by time interaction observed for N3-4 and adult whitefly stages probably originated from high mortality of early whitefly instars (Table 3-2 and Figure 3-1), which depleted subsequent cohorts.
Within all BotaniGard® treated compartments, the density of infected immature whitefly was significantly different over time compared to control compartments (Table 3-3). Infected whitefly were consistently more abundant in treated compartments, and increased in proportion as soon as the first sample was taken following an initial BotaniGard® treatment (Figure 3-2). Infected pupae were either red in colour, had developed fungal hyphae or displayed both of these characteristics.
Figure 3-1 Effect of BotaniGard® treatment on the density per leaf of a) eggs; b) N1-2; c) N3-4 and d) adults of the whitefly Trialeurodes vaporariorum . Values represent the mean density (± SEM) of samples (N= 16) taken at each of four plant canopy levels. Vertical lines indicate BotaniGard® treatments. The x-axis represents the sample date whereby the first number stands for weeks and the second for the bi-weekly repetition of sampling.
Table 3 2 Repeated measures analysis of variance for effects of BotaniGard® treatment on the abundance of different developmental stages of the greenhouse whitefly Trialeurodes vaporariorum per leaf. Table reports F, DF and P values.
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Table 3-3 Repeated measures analysis of variance for effects of BotaniGard® treatment on the density of Beauveria bassiana infected immature greenhouse whitefly, Trialeurodes vaporariorum per leaf.
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Figure 3-2 Impact of BotaniGard® treatment on a) the density of adult parasitoid Encarsia formosa ; b) the percent of E. formosa -parasitized whitefly; c) the percent of Beauveria bassiana infected whitefly; and d) the percent of parasitized and infected whitefly per leaf. For each treatment, values represent the mean (± SEM) (N= 16) number of organisms per leaf sampled at 4 canopy levels, in 2 replicate compartments per house, and 2 houses. Vertical lines indicate dates of BotaniGard® treatments. Arrows indicate dates of E. formosa releases.
After having analysed and observed data on E. formosa abundance, an exceptionally higher parasitoid density in BotaniGard® treated compartments on day 6.1 (LSD F 1,141= 37.44, P < 0.01) suggested that values from two compartments were outliers. These values were probably due to the sampling of an exceptional aggregation of E. formosa parasitoids observed on the bottom canopy level of tomato plants. The presence of these data points made analysis and interpretation difficult. After having removed outlying values, it was observed that over time, E. formosa parasitoid density was comparable in both BotaniGard® treated and control compartments (Table 3-4; Figure 3-2a). The proportion of parasitized whitefly per leaf was significantly greater in treated compartments and remained as such during the course of this experiment (Table 3-4; Figure 3-2b). The proportion of parasitized and infected immature whitefly was also significantly greater in treated compartments compared to controls (Table 3-4; Figure 3-2d).
While the density of D. hesperus did not differ between B. bassiana treated and control compartments ( P = 0.0703, Table 3-5), the proportion of immature whitefly consumed by D. hesperus in treated compartments was significantly lower than in control compartments (Figure 3-3). As of the second sampling date following the first pathogen treatment, a significant increase in density of whitefly killed was observed (Figure 3-3 and LSD multiple comparison on sample date 5.1, F1, 141=14.57, P= 0.0002). Furthermore, a significant interaction between treatment and time was observed, indicating that a trend in the proportion of predator consumed whitefly varied in treated vs. control sampling units (Table 3-5).
Table 3-5 Repeated measures analysis of variance for effect of BotaniGard® treatment on the density per leaf of predator Dicyphus hesperus and on the rate of whitefly predation by D. hesperus.
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Figure 3-3 Impact of BotaniGard® treatment on a) the density per leaf of predator Dicyphus hesperus (± SEM) and b) on the density of predator consumed whitefly (± SEM). Values represent the mean (N=16) number of organisms on each of 4 canopy levels, in 2 compartments per house and 2 houses. Vertical lines indicate dates of BotaniGard® treatments. Arrows indicate dates of D. hesperus releases.
Figure 3-4 Effect of BotaniGard® treatment over the course of the experiment on the mean percentage of immature whitefly infected by Beauveria bassiana , parasitized by Encarsia formosa , Dicyphus hesperus predator fed, or both parasitized and infected.
The mortality of all immature whitefly sampled during this experiment was categorized for each source identified (Figure 3-4). In the treated compartments, B. bassiana was the most effective biological control agent and caused infection in 10.6% of all immature whitefly over the course of this experiment (Figure 3-4). Parasitism was a greater source of whitefly mortality in treated versus control compartments. Predation by D. hesperus was lower in the presence of B. bassiana (Figure 3-4).
In this study, whitefly mortality resulted not only from infection by Beauveria bassiana but also through parasitism by Encarsia formosa and through predation by Dicyphus hesperus . However, B. bassiana was the most important cause of whitefly mortality with 10.6 ± 0.9 % of examined whitefly in treated compartments infected by this fungus alone. Parasitism by E. formosa was the second leading cause of whitefly mortality (7.61 ± 1.5 %). Finally, D. hesperus consumed 6.3 ± 1.7 % of immature whitefly in control compartments.
The mortality response of whitefly from infection by B. bassiana varied according to host developmental stage. However, we did not identify factors that lead to fluctuations in each of the individual whitefly life stages. In order to determine the susceptibility of the different whitefly stages, laboratory bioassays should be performed. While it appeared that adult whitefly were little affected by the pathogen early during the course of the experiment, N1-2 whitefly populations were reduced almost immediately following the first pathogen application (Figure 3-1). The observed reduction of early whitefly instar density may be explained in part by a reduction in the number of eggs laid by adults or to the infection and death of early instars. Immature whiteflies are immobile, small and have limited wax coating, which may make them susceptible to germinating conidia. Siongers and Coosemans (2003) studied BotaniGard® effects on developmental stages of T. vaporariorum on the greenhouse cucumber. They showed that the first larval stage was the most sensitive, and that the pathogen did not influence the number of eggs hatched. A treatment shortly before hatching had a residual effect on new nymphs. When considering the response of whitefly populations to B. bassiana , it is evident that major differences between treated and control compartments appeared after the second pathogen application. Significant differences appeared almost immediately after the first treatment for N1-2 whitefly instars and by the second treatment, all whitefly classes were significantly affected (Figure 3-2). The remarkable decrease of adult whitefly over time may reduce the number of individuals of all other whitefly classes (Figure 3-2).
Over the course of this experiment, the abundance of E. formosa parasitoids in treated compartments was similar to that in control compartments. In addition to consistent parasitoid levels, the abundance of parasitized whitefly was significantly higher in treated compartments compared to control compartments, with a small but significant fraction of these infected by B. bassiana.
Though the impact of infection on E. formosa during development in the whitefly host was not determined in our study, other parasitoid-pathogen interactions have been studied and should be considered (Rombach and Gillespie, 1988; Fransen and van Lenteren, 1993; 1994; Mesquita et al ., 1997; Lacey et al ., 1997; Furlong, 2004). In these studies factors such as the temporal separation of species and intraguild interactions seem to contribute to the outcome of parasitoid-pathogen interactions. A study of the interaction between the aphelinid parasitoid, Aphelinus asychis Walker (Hymenoptera: Aphelinidae) and the entomopathogenic fungus Paecilomyces fumosoroseus Wize (Deuteromycotina: Hyphomycetes) exploiting the Russian wheat aphid in barley fields showed that these natural enemies are compatible as they work additively to enhance aphid control (Mesquita et al . 1997). In this study, no difference in the number of mummies recovered per plant was found between the A. asychis parasitism treatment alone and the combined effect of parasitism and infection by P. fumosoroseus together. Also, the comparable A. asychis emergence in both of these treatments observed suggests the absence of interference between pathogen and parasitoid. In contrast, laboratory tests showed that adult parasitoids of A. asychis were susceptible to fungal infection by P. fumosoroseus (Lacey et al ., 1997). These contradictory results highlight the importance of evaluating interactions between fungus and parasitoid under both laboratory and field conditions.
Timing the application of a pathogen during the use of a parasitoid is often an important factor contributing to the success of biological control. Furlong (2004) showed that B. bassiana was detrimental to the endolarval parasitoid Plutella xylostella L. (Lepidoptera: Plutellidae) developing within the immature stages of Diadegma semiclausum Hellen (Hymenoptera: Ichneumonidae). Emergence of parasitoids was reduced and infection of parasitoid larvae by B. bassiana increased when the concentration of the pathogen increased (Furlong, 2004). However, parasitoid mortality was avoided through the careful timing of pathogen applications. Beauveria bassiana may be effectively applied at least one day before the predicted parasitoid cocoon formation, thus avoiding infection to parasitoids. Temporal separation was also an important factor in the interaction of E. formosa and the entomopathogen Aschersonia aleyrodis (Fransen and van Lenteren, 1993; 1994). Infection of parasitoids diminished as developing parasitoids became older. Fungal spores of A. aleyrodis did not infect parasitized whiteflies with immature parasitoids older than three days (Fransen and van Lenteren, 1993). When appropriate measures of temporal separation are applied, the potential use of E. formosa fungi such as Verticillium lecanii Zimm. (Deuteromycotina: Hyphomycetes) (Rombach and Gillespie, 1988) or P. fumosoroseus (van de Veire and Degheele, 1996), may also be effective.
Host discrimination by E. formosa adults may also have played a role in population dynamics of the developing parasitoid. The higher abundance of parasitized whitefly observed in treated compartments (Figure 3-2) may be influenced by the selective oviposition of females (Fransen and van Lenteren, 1993; 1994). Encarsia formosa rarely chooses to oviposit whitefly pupae infected by Aschersonia aleyrodis (Fransen and van Lenteren, 1993; 1994). In this light, it is believed that oviposition of pathogen infected hosts is generally avoided by E. formosa adults. Jazzar and Hammad (2004) demonstrated that ovipositing females of E. formosa discriminated between healthy and Verticillium lecanii infected Bemisia argentifolii whitefly and therefore reduced interference between these natural enemies. The combined use of E. formosa and V. lecanii resulted in a 70.7% whitefly mortality. Of this amount, 10% of whitefly mortality was due exclusively to parasitism and 58.3% due to infection. Lacey et al ., (1996) reported that E. formosa under field conditions resulted in a synergistic interaction with the naturally occurring V. lecanii . In our study, the absence of interference between the pathogen and the parasitoid suggested by the greater abundance of parasitized whitefly in treated compartments signals the compatibility of the parasitoid and the pathogen (Figure 3-4). Parasitoids were occasionally found dead on leaves following the application of both water or pathogen treatments (Labbe, personal observation). It was proposed that these parasitoids would have died of drowning, a factor that may be considered equally important in all compartments.
It is apparent from our research results that some interference may result from the combined application of B. bassiana with the predator D. hesperus . Though the abundance of D. hesperus was not reduced, a significant decrease in the predation of immature whitefly in treated compartments was observed. This reduction in predation observed early during the experiment may represent a non-lethal infection of the predator or to changes in predator behaviour.
Competition for healthy prey may be an important factor contributing to changes in the distribution of predator D. hesperus . In many ecosystems, a change in distribution may occur when an organism inhabits an area or a time where its optimal food resource is limited (Polis et al ., 1989). In this study the distribution of D. hesperus was positively correlated to that of whitefly so that predators were likely aggregated in regions where a high density of immature whitefly were found, regardless of whether these were infected (Labbé, unpublished data). This suggests that when the whitefly resource is limited, predators may have little option but to prey upon infected whitefly. In a study by Dixon (1998), a similar distribution was observed when examining the interactions between different species of aphid parasitoids. Notably, the patchiness of aphid hosts favoured the aggregation of aphid natural enemies around them, resulting in intra- and interspecific competition for this same limited resource. While it appears normal that a predator or parasitoid would aggregate around its primary resource, results presented in the previous chapter of this thesis suggest that it should not be the case for predator D. hesperus feeding upon infected whitefly. In particular, I reported that during laboratory experiments, D. hesperus avoided feeding on B. bassiana infected prey showing the presence of hyphae or of oosporein, a red pigment produced by the fungus.
A number of field studies in invertebrate communities have shown that though most herbivores are attacked by large guilds of natural enemies, complex and unexpected interactions between predators, parasitoids and pathogens may significantly reduce their impact on herbivore populations (Brodeur and Rosenheim, 2000). Predators, parasitoids and pathogens have been previously considered to have parallel and largely independent effects on herbivore populations, and potentially significant interactions between these natural enemies were neglected (Brodeur and Rosenheim, 2000). Recent attempts to extend current population models by adding interactions between natural enemies have contributed to the emergence of a more dynamic and reliable understanding of the factors that regulate the density of animal populations (see Polis et al ., 1989; Polis, 1991; Strong, 1992; Kareiva, 1994; Polis and Strong, 1996; Losey and Denno, 1998; Rosenheim, 1998).
Multispecies assemblages of biological control organisms may provide a balance between organisms in greenhouse agroecosystems that is necessary for consistent pest suppression. When species with known biological control properties are chosen to interact together, the shortcomings and limitations of individual species may be compensated for within the same guild. For example, whitefly suppression by polyphagous predators are rarely effective to lower pest populations below an acceptable level (Gerling, 1990), but they may be useful in containing their exponential growth by conservation, augmentation or even inoculation in the environment (Gerling, 1990). In the case of the specific parasitoid, E. formosa , during some periods of the year when peak high or low temperatures are observed, whitefly populations may become difficult to control solely by this species. In such situations, biological control practitioners resort to the use of alternate control measures such as provided by the use of generalist pathogens (Perdikis and Lykouressis, 2002). Our study showed that while the application of the entomopathogen B. bassiana caused an important reduction in whitefly populations, other natural enemy populations were maintained. These findings promote the use of multispecies complexes in greenhouse biological control that may serve to recreate a complete trophic web. Such a web is composed of a number of interactions each having an important role in community dynamics.
In contrast, a large number of recent field studies in arthropod communities have shown that while most herbivores are attacked by large guilds of natural enemies, some unexpected and complex interactions between predators, parasitoids and pathogens may significantly reduce their impact on herbivore populations (Brodeur and Rosenheim, 2000). Community dynamics are affected by factors such as foraging behaviour, indirect mutualism or intraguild predation and may be the cause of trophic cascades that appear over time. However, intraguild predation may be effectively used to offset competition during prey shortage (Hochberg and Lawton, 1990). In our study, B. bassiana controlled an imminent pest outbreak with a minor disruption on biological control. It is clear that further research on the role of intraguild interactions in the greenhouse environment is warranted, and particularly so for the most currently applied biological control organisms. This research has identified the compatibility of whitefly natural enemies, and would be further enriched by studies of simple and paired interactions between natural enemies with the whitefly, as well as between other natural enemy species.
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