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1 December 2013 Effectiveness of Two Predatory Mite Species (Acari: Phytoseiidae) in Controlling Diaphorina citri (Hemiptera: Liviidae)
Xiaoduan Fang, Huilin Lu, Gecheng Ouyang, Yulu Xia, Mingfang Guo, Weinan Wu
Author Affiliations +

The Asian citrus psyllid, Diaphorina citri Kuwayama (Hemiptera: Liviidae), is the insect vector of huanglongbing (HLB), the most devastating citrus disease in the world. The objective of this study was to evaluate the efficacy of two species of commercially available predatory mites, Neoseiulus cucumeris (Oudemans) and N. barkeri (Hughes) (Acari: Phytoseiidae), against D. citri. The predatory mites were evaluated by (1) determining their prey stage preference under no-choice conditions by providing eggs, 1st and 2nd instar nymphs; (2) determining the functional and numerical responses of the predators to varying densities of eggs (from 2 to 32/leaf disk); and (3) evaluating the control effect of N. cucumeris on D. citri on caged trees of Citrus reticulata Blanco in the field, using 1 to 8 sachets (900 ± 100 adult mites per sachet) per tree. The results indicated that N. cucumeris consumed eggs of D. citri only, whereas N. barkeri consumed eggs and 1st instar nymphs. Both predators displayed a Type III functional response (sigmoid). A single female adult of N. cucumeris consumed significantly more D. citri eggs than N. barkeri. N. cucumeris could lay eggs when feeding exclusively on D. citri eggs. The field experiment showed that control effect on D. citri was significantly correlated with the number of N. cucumeris released. Two or more sachets released per tree could achieve significant control at an initial density of 30 adult D. citri (male: female = 1:1) per tree. Improvement of field control efficacy of N. cucumeris on D. citri is discussed.

The Asian citrus psyllid, Diaphorina citri Kuwayama (Hemiptera: Liviidae), is the vector of huanglongbing (HLB) or citrus greening, which is a destructive citrus disease associated with the phloem-limited bacterium ‘Candidatus Liberibacter asiaticus’ (Bové 2006). Currently, HLB is seriously impacting citrus production in nearly 40 countries, including the 3 countries that produced the most citrus, i.e., China (Fan et al. 2009), Brazil (Lopes et al. 2007) and the United States (Qureshi & Stansly 2009). Control of D. citri is a key step in HLB management (Chao et al. 1979). Integrated control based on natural enemies, biorational materials, chemicals, and cultural practices could be the most acceptable pest management tactics (Yang et al. 2006; Juan-Blasco et al. 2012). Natural enemies of D. citri include predators such as ladybeetles (Coleoptera: Coccinellidae), lacewings (Neuroptera: Chrysopidae), spiders (Aranae), and hoverflies (Diptera: Syrphidae), parasitoids such as Diaphorencyrtis aligarhensis (Shafee, Alam & Agaral) (Hymenoptera: Encyrtidae) and Tamarixia radiata (Water-ston) (Hymenoptera: Eulophidae), and certain entomopathogens (Aubert & Quilici 1984; Hoy & Nguyen 2001; Michaud 2002, 2004; Pluke et al. 2005; Yang et al. 2006; Qureshi & Stansly 2008, 2009). However, any single tactic use alone is unlikely to provide sufficient suppression of D. citri populations, so that more proactive and augmentative approaches to biological control should be developed (Juan-Blasco et al. 2012).

Both D. citri populations and the incidence of HLB were significantly lower in many citrus groves in Zhaoqing City, Guangdong Province, China, where Neoseiulus cucumeris (Oudemans) (Acari: Phytoseiidae) was released for Panonychus citri (McGregor) (Acari: Tetranychidae) control than in nearby groves where only synthetic pesticides were heavily used (Zhang et al. 2010; Ouyang et al. 2011). It was speculated that the predatory mites or other natural enemies might have kept D.. citri population under control, which led to the low HLB incidence. Our observations in laboratory confirmed that N. cucumeris consumed D. citri eggs (Fig. 1).

Fig. 1.

Eggs of Diaphorina citri consumed by Neoseiulis cucumeris as seen by stereo microscope (Nikon®, SMZ1000) in the laboratory. The photo on the left shows the feeding of a N. cucumeris mite on D. citri eggs. The photo on the right shows the remains of D. citri eggs that have been consumed by N. cucumeris.


Juan-Blasco et al. (2012) found that the predatory mite, Amblyseius swirskii Athias-Henriot (Acari: Phytoseiidae), fed on both eggs and nymphs of D. citri, and showed promise for biological control against D. citri (Juan-Blasco et al. 2012); and they speculated that certain phytoseiid mites may serve as additional biological control agents of the psyllid.

Phytoseiid mites are among the most important predatory mites. They are widely used for biological control of mite and small insect pests of fruit, green vegetable, and other crops worldwide (Kostiainen & Hoy 1996; Opit et al. 2004; Arthurs et al. 2009; Juan-Blasco et al. 2012). Neoseiulus cucumeris and N. barkeri (Hughes) (Acari: Phytoseiidae) are both commercially available in China. Neoseiulus cucumeris was first introduced to China from England in 1997 (Zhang et al. 2002). Neoseiulus barkeri, a native predatory mite of China, occurs worldwide (De Moraes et al. 2004; Wu et al. 2009). Both species are mass-produced and widely used for controlling the citrus red mite P. citri in China (Zhang et al. 2002; Ouyang et al. 2007; Wei et al. 2013). These predators are also widely applied for controlling Thrips tabaci Lindman, Frankliniella occidentalis Pergande (Thysanoptera: Thripidae) and other small vegetable greenhouse pests in many countries (van Houten et al. 1995; Kostiainen & Hoy 1996; Shipp & Wang 2003; Hoy 2011).

Few studies have been conducted in using N. cucumeris and N. barkeri for D. citri control, although we observed that N cucumeris could feed on D. citri. The goal of this study was to evaluate the potential of N. cucumeris and N. barkeri as biological control agents for control of D. citri. The objectives of this study were to, (1) determine prey preferences of the 2 predator species under no-choice conditions by providing eggs, 1st and 2nd instar nymphs, (2) estimate the functional and numerical responses of the predators to varying egg densities; and (3) evaluate the predation capacity of N. cucumeris in the field.

Materials and Methods

Rearing of Predatory Mites and Diaphorina citri

The colonies of N. cucumeris and N barkeri used in the laboratory experiments were initially obtained from the breeding laboratory of the Guangdong Academy of Agricultural Sciences. The populations had been reared on the flour mite, Acarus siro L. (Acari: Acaridae), on bran in our laboratory for 6 months before the experiments. Eggs and nymphs of D. citri were obtained from a population reared on Murraya paniculata L. (Sapindales: Rutaceae) in a greenhouse at the Guangdong Entomological Institute. The initial population had been collected from the campus of Sun Yat-sen University in 2009.

Prey Stage Preference

One female adult of N. cucumeris or N. barkeri, which was 8-day-old, was separated from the colony and transferred onto an arena with a fine-bristle brush. The arena was similar to that described by Overmeer (1981), consisting of a 7.0 cm diam white nanometer sponge placed in the center of a 9.0 cm diam, 1.2 cm deep Petri dish (Overmeer 1981). One 6.0 cm diam filter paper disc was placed on the sponge, and a smaller plastic cover placed on the filter paper. The foam mat was kept water-saturated using tap water to prevent mite escape. After the predatory mite had been starved for 24 h, 10 individuals of each developmental stage (eggs, 1st or 2nd instar nymphs of D. citri) on M. paniculata flushes were transferred onto the arena. A small, water-saturated sponge was used to keep the flushes fresh in order to prevent the D. citri individuals from dehydrating or starving. The Petri dish was covered to maintain humidity. The Petri dishes in the control treatment each had the same numbers of eggs, 1st or 2nd instar nymphs, but without a predatory mite. All Petri dishes were kept in a climate chamber for 24 h at 25 ± 2 °C, 75 ± 5% RH and 16:8 h L:D. After 24 h, the number of D. citri eggs and nymphs consumed were determined. Each treatment contained 30 replicates.

Functional and Numerical Responses

A mated female adult of N. cucumeris or N. barkeri, which was 8-day-old, was separated from the colony and transferred onto a leaf disc of M. paniculata on an arena as described above. After 24 h starvation, eggs of D. citri at densities of 2, 4, 8, 16, or 32 were transferred onto the leaf discs with a fine-bristle brush. Each treatment contained 30 replicates. The control treatment had the same densities of D. citri, except with no predatory mites on it. Every 24 h, the consumed eggs of D. citri were examined under a stereo-microscope (Nikon®, SMZ1000), all eggs of D. citri were replaced with fresh ones, and any newly laid eggs by predatory mites were removed from the examination arenas and counted to determine the numerical response. The test lasted 5 days. The experiments of N. cucumeris and N. barkeri were conducted simultaneously.

Field Experiment

The experimental population of N. cucumeris was obtained from Fujian Yanxuan Bio-Preventing and Controlling Technology Co., Ltd. The number of living adults of N. cucumeris per sachet (14 cm × 10 cm paper envelope) was 900 ± 100 determined by preliminary sample examination.

The experiment was conducted from Sep 2011 to Jan 2012 in Sihui City, Guangdong Province. The minimum, maximum, and mean daily temperature averaged 21–27 °C, 29–35 °C, and 24–32 °C in Sep; 19–23 °C, 24–31 °C, and 20–27 °C in Oct; 14–24 °C, 17–30 °C, and 19–26 °C in Nov; 4–19 °C, 13–25 °C, and 8–18 °C in Dec; 6–16 °C, 11–23 °C, and 8–13 °C in Jan, respectively. Relative humidity averaged 70–90% during the study period. The data were obtained from the local weather station.

A 4-yr-old Citrus reticulata Blanco grove was used for the experiment. The canopy of the tree was about 1.3 m high × 1.0 m diam. Each tree was covered with a nylon mesh cage (1.8 m high × 2.0 m diam) with a mesh size of 125 urn (Fig. 2) to prevent the predatory mites and psyllids from escaping. All arthropods inside the cages were eliminated by spraying 25 g/L deltamethrin emulsion 2000 x (Decis®, Bayer CropScience China Co., Ltd.) on 10 Sep using a knapsack pressure sprayer (5319-5L, Qiaojuan gardens facility Co. Ltd., Shanghai, China) maintained at 2.0 × 102 KPa during spraying. To ensure no arthropods were left inside the cages, a further application of 0.05% aqueous emulsion of horticulture mineral oil (Sunspray® Ultra Fine, Sunoco Inc, USA) was conducted on 20 Sep using the same sprayer. Additionally, manual removal of any observable remaining arthropods was conducted as necessary. To promote new flushes, fertilization and pruning were conducted on 15 Sep. Thirty adults of D. citri in a reproductive state (male: female = 1: 1) collected from a nearby grove were released into each cage when new flushes were beginning to occur on 30 Sep. Neoseiulus cucumeris at different densities were released into the cages on the same day. A total of 4 treatments (i.e,. 1, 2, 4 and 8 sachets per cage, respectively) were used in the experiment. The sachets were attached at the base of branches dispersedly There was no N. cucumeris release in the control group. Each treatment included 3 replicates, 3 trees per replicate. A randomized complete design was used for allocating the blocks.

Fig. 2.

Mesh cages used in the field experiment. Each cage contained one small (1.3 m tall) 4-yr-old Citrus reticulate tree. Thirty Diaphorina citri adults (1:1 sex ratio) together with various numbers of sachets of Neoseiulus cucumeris were released into each cage and changes in the D. citri population density over the subsequent 3 months were determined.


The number of adult psyllids on the entire tree in each cage was counted by field inspection on 7 Nov 2011, 7 Dec 2011, and 7 Jan 2012, respectively. It was observed that there were predatory mites, eggs and nymphs of D. citri in the new flushes, but their sizes were too small to survey on the entire tree directly. In order not to excessively disrupt the experiment, the numbers were not surveyed in this experiment.

Data Analysis

All data were analyzed using SPSS analysis software (13.0 for Windows; SPSS Inc, Chicago, USA). Data for prey stage preference were analyzed using one-way analysis of variance (ANOVA) followed by Tukey's honestly significant difference (HSD) test at 5% level of significance.

The type of functional response of each predatory mite was determined using a curve estimation regression analysis of the proportion consumed as a function of prey density. The equation Ne/No = α + bNo + cNo2 + dNo3 + e was used to determine the type of functional response where Ne is the proportion of prey consumed, No is the number of prey offered, α is the intercept, b, c, and d are the linear, quadratic, and cubic coefficients, respectively. Type I responses were described by an intercept and a constant positive slope b. For Type II responses, the linear coefficient b was < 0. The proportion of consumed prey consumed declined linearly with the initial number of prey offered. Type III responses were characterized by a linear coefficient b > 0 and a quadratic coefficient c < 0 (Trexler et al. 1988; Juliano 2001; Xiao & Fadamiro 2010).

In the second step of the analysis, a nonlinear regression was used to estimate the parameters that fit the data to a mechanistic model. The model incorporating prey depletion for a type III functional response was expressed as follows:

where No is the initial density, Ne is the number of prey attacked, b, c, and d axe the constants related to the attack coefficient, Th is the handling time per prey, T is the total time available (24 h), which accounts for Type III functional responses with prey depletion (Rogers 1972; Juliano 2001).

The above equation was reduced to the following expression (Juliano 2001):


The parameters of functional response b (attack coefficient) and Th (handling time) were estimated using nonlinear regression. To determine the difference of functional response between N. cucumeris and N. barkeri, consumptions under different densities of prey were analyzed by comparing means by the Paired-Samples t-test (α = 0.05).

The numerical response was calculated using regression analysis with a hyperbolic model (Carrillo & Peña 2012). The hyperbolic model is described by the equation: y = ax/(b + x) where y is the daily oviposition by N. cucumeris at various prey densities x, α is the maximum daily oviposition (i.e. plateau), and b is the prey density needed to achieve a half-maximal estimated response.

The population densities of adult D. citri under different treatments were analyzed by Tukey's HSD test at 5% level of significance. The correlation between population densities of adult D. citri and the number of N. cucumeris released was analyzed by Pearson's correlation.


Prey Stage Preference

Under no-choice conditions, one N. cucumeris female adult consumed 1.70 ± 0.34 D. citri eggs, one N. barkeri female adult consumed 0.20 ± 0.11 eggs, and there was no prey mortality in the control treatment. There were significant differences between these 3 treatments (F = 19.92; df = 2, 87; P < 0.05) when eggs of D. citri were provided as the prey. Neoseiulus cucumeris did not consume any 1st instar nymphs, whereas N. barkeri consumed 0.80 ± 0.41 1st instar nymphs, and there was no prey mortality in the control treatment. There were no significant differences between these 3 treatments (F = 3.85; df = 2, 87; P > 0.05) when 1st instar nymphs were provided as prey. The experiment indicated that neither of the 2 predator species consumed any 2nd instar nymphs.

Functional and Numerical Responses

The number of D. citri eggs consumed by N. cucumeris per day increased from 0.40 ± 0.15 at a prey density of 2 eggs per arena to 3.60 ± 1.28 at a prey density of 32 eggs per arena. The number of D. citri eggs consumed by N. barkeri per day increased from 0 at a prey density of 2 eggs per arena to 0.80 ± 0.29 at a prey density of 32 eggs per arena. The results of the nonlinear regression analysis (Table 1) indicated that both predators exhibited Type III functional response to D. citri eggs (Fig. 3).

The parameters were estimated according to the Holling III functional response model (Table 2). The functional curves of the 2 predator species were significantly different when D. citri eggs were provided (t = 3.70; df = 4; P < 0.05). Neosei-ulis cucumeris generally consumed more eggs of D. citri than N. barkeri.

The number of eggs laid by each N. cucumeris female per day (y) and the prey density (x) were highly correlated (R2 = 0.99, P = 0.003; Fig. 4). The maximum daily oviposition (a) of N. cucumeris was 0.31 ± 0.01 eggs. The prey density needed to achieve half the maximum response (b) was 4.11 ± 0.40 eggs per arena.

Field Experiment

The results indicated that the number of D. citri adults in the control treatment was significantly higher than in the treatments with N. cucumeris in the 1st, 2nd and 3rd month evaluations after treatment, respectively (F = 27.64, df = 4, 10, P < 0.05; F = 63.53, df = 4, 10, P < 0.05; F = 56.04, df = 4, 10, P < 0.05) (Table 3), although the numbers of D. citri adults increased in all treatments. The population densities of D. citri adults in each surveyed month were significantly correlated with the number of predatory mites released (Table 4).

Table 1.

Coefficients of the polynomial nonlinear regression of predation proportion for Neoseiulus cucumeris and Neoseiulus barkeri against Diaphorina citri eggs under laboratory conditions.


Fig. 3.

Functional response of Neoseiulis cucumeris adult females (upper curve) and of N. cucumeris adult females (lower curve) to Diaphorina citri eggs on leaf discs. No = the density of D. citri eggs. Ne = the number of D. citri consumed per N. cucumeris female or N. barkeri female per day.



The results from this study demonstrated the potential value of using N. cucumeris in a D. citri integrated pest management program. Both N. cucumeris and N. barkeri consumed D. citri eggs. Additionally, N. barkeri also consumed small numbers of 1st instar nymphs. Consumption of D. citri eggs by N. cucumeris was significantly greater than that by N. barkeri. We observed that N. cucumeris readily located the provided eggs. Immediately after crawling on the eggs, N. cucumeris predators began to feed on them. Neoseiulis barkeri mites tended to search near the edge of the arena and ignored nearby eggs. The prey stage preference of N. cucumeris in this study was different from previous studies in which N. cucumeris preferred 1st instars over eggs of Tetranychus urticae Koch or F. occidentalis (Shipp & Whitfield 1991; Croft et al. 2004). Different nutritional benefits of each prey (Popov & Kondryakov 2008; Blackwood et al. 2001), morphological traits such as long dorsal shield setae (Croft et al. 2004) and the size and activity of each predatory species (Sabelis 1985) were reported to play roles in prey stage preferences of predatory mites. Nevertheless, since both D. citri nymphs and adults can acquire and transmit the HLB pathogen, preference by the predator for the egg stage of D. citri should be considered desirable for HLB management because the elimination of D. citri eggs reduces the probability of disease transmission.

Table 2.

Attack coefficient (b), and handling time (TH ) (95% CL) Of Neoseiulus Cucumeris and Neoseiulus barkeri at different Diaphorina citri egg densities estimated using the functional response model


Fig. 4.

Numerical response of Neoseiulis cucumeris adult females to Diaphorina citri eggs on leaf discs, where, x = the density of D. citri eggs per arena, and y = the number of eggs laid by a N. cucumeris adult female per day.


Solomon (1949) divided the response of consumers (predators) to the density of their resources (prey) into functional and numerical responses. The former response type describes how the consumption rate of individual consumers changes with resource density, and the latter response type shows how the per capita reproductive rate changes with resource density (Solomon 1949). Functional and numerical responses have been widely used to evaluate the effectiveness of predatory insects and mites (Shipp & Whitfield 1991; De Clercq et al. 2000; Badii et al. 2004; Xiao & Fadamiro 2010; Carrillo & Peña 2012). The functional response of a predator as a function of prey density generally follows one of 3 mathematical models (Holling 1959a, 1959b, 1961). In the Type I functional response, the number of prey killed increases linearly at a constant rate as a function of prey density. In the Type II response, the number of prey killed increases up to a maximum (predator saturation). However, the proportion of dead prey killed declines with increasing prey density. In the Type III response, predation results in a sigmoid curve wherein the proportion of prey consumed is positively dependent on density over a prey density range. However, predator saturation occurs at high prey densities (Xiao & Fadamiro 2010). Predators with Type III response are capable of regulating prey populations (Holling 1965). Predators with type II response are particularly efficient at low prey densities (Koehler 1999).

Table 3.

Population densities of adult Diaphorina citri on caged flushing 4-yr-old Citrus reticulata trees onto each of which 30 Diaphorina citri adults (1:1 sex ratio) were released together with various numbers of sachets of Neoseiulus cucumeris. each sachet contained 900 ± 100 adult mites.


For both predatory mites, the relationship between D. citri egg density and number of D. citri consumed indicated a Type III functional response (sigmoid) model. Sigmoid functional responses indicate generalist predators. These predators readily switch from one food species to another or concentrate their feeding in areas where certain resources are most abundant (Holling 1959a). These responses are called prey-dependent responses because the feeding rate of consumers depends only on the prey density (Holling 1959a; Murdoch 1977). Type III functional responses are commonly regarded as efficient biological control agents (Holling 1965; Pervez & Omkar 2005; Laumann et al. 2008). Type III responses are less common than Type III responses (Mills & Lacan 2004). The functional response curves indicated that N. cucumeris consumed significantly more D. citri eggs than N. barkeri. Neoseiulis cucumeris showed greater potential for controlling D. citri than N. barkeri.

The result of field experiments indicated that control outcome on D. citri in the 1st month was significantly correlated with the number of N. cucumeris released. Two sachets or more of predatory mites released per tree achieved significant psyllid population reduction, compared to the untreated control. However, the psyllid populations increased under all treatments. This might be due to the high initial density of D. citri as well as the limited control efficacy of N. cucumeris against the psyllid. We speculate that the main factor affecting population fluctuation of D. citri adult in the 1st month was different from that in the following 3 months. The factor operating in the 1st month was likely correlated with the flushing peak of citrus and the oviposition peak of D. citri. Population fluctuation of D. citri adults mainly depended on the offspring of the initially released D. citri and was significantly affected by N. cucumeris. During the following months, the oviposition of D. citri was much less and the most likely factor was the influence of lower temperature (averaged 8–18 fi01_1325.gifC in Dec 2011 and 8–13 fi01_1325.gifC in Jan, 2012) and fewer new flushes. These months were a part of the over-wintering period of D. citri and the duration of the adult stage was relatively long in Guangdong. The population fluctuation of D. citri adults mainly depended on natural death, and not on the eggs consumed by N. cucumeris.

Table 4.

Correlation between the population densities of Diaphorina citri adults and the number of Neoseiulus cucumeris mites on 4-yr-old Citrus reticulata trees subjected to different Neoseiulus cucumeris densities.


These results showed N. cucumeris could suppress the population of D. citri to a certain degree. Considering N. cucumeris can be easily and cheaply mass-reared (Zhang et al. 2002), this predatory mite might be applied as a biological control agent for control of D. citri. A further study is needed to determine how well N. cucumeris could control D. citri populations under actual field conditions in which D. citri is able to freely colonize the citrus trees.

Besides D. citri, the citrus red mite, P. citri, is another important pest of citrus in several regions of the world (Huang 2009). The population peak of P. citri usually occurs later than citrus flushing, whereas the oviposition peak of D. citri is synchronous with flushing (Huang 2009). Hoy (2011) reported that build-up of predatory mite Euseius tularensis (Acari: Phytoseiidae) population on citrus red mites allowed the predator to achieve a better control of citrus thrips population later in the season. Presence of P. citri or pollen in the groves should be helpful in increasing the predatory mite reproductive rate and stabilizing the predator's populations. This might result in better control of D. citri by the predators.


This study was funded by a USDAAPHIS-North Carolina State University joint project entitled as “Asian Citrus Psyllid and Huanglongbing Field Research and Outreach” (Grant no. 11-8130-1452-CA) and the Science and Technical project of Guangdong Province, China (Grant no. 2011B050400006). Authors thank Dr. Ron Sequeira (USDA-APHIS-PPQ-CPHST) for technical advice on the study and manuscript review.

References Cited


S. Arthurs , C. L. McKenzie , J. J. Chen , M. Dogramaci , M. Brennan , K. Houben , and L. Osborne 2009. Evaluation of Neoseiulus cucumeris and Amblyseius swirskii (Acari: Phytoseiidae) as biological control agents of chilli thrips, Scirtothrips dorsalis (Thysanoptera: Thripidae) on pepper. Biol. Control 49: 91–96. Google Scholar


B. Aubert , and S. Quilici 1984. Biological control of the African and Asian citrus psyllids (Homoptera: Psylloidea), through eulophid and encyrtid parasites (Hymenoptera: Chalcidoidea) in Reunion Island, pp. 100–108 In S. M. Garnsey L. W. Timmer and J. A. Dodds [eds.], Proc. 9th Conf. Intl. Org. Citrus Virologists (IOCV), 9–13 Nov. 1983, Argentina. Univ. California, Riverside, CA. Google Scholar


M. H. Badii , E. Hernandez-Ortiz , A. E. Flores , and J. Landeros 2004. Prey stage preference and functional response of Euseius hibisci to Tetranychus urticae (Acari: Phytoseiidae, Tetranychidae). Exp. Appl. Acarol. 34: 263–273. Google Scholar


J. S. Blackwood , P. Schausberger , and B. A. Croft 2001. Prey stage preferences in generalist and specialist phytoseiid mites (Acari: Phytoseiidae) when offered Tetranychus urticae (Acari: Tetranychidae) eggs and larvae. Environ. Entomol. 30: 1103–1111. Google Scholar


J. M. Bové 2006. Huanglongbing: A destructive, newly-emerging, century-old disease of citrus. J. Plant Pathol. 88: 7–37. Google Scholar


D. Carrillo , and J. E. Peña 2012. Prey-stage preferences and functional and numerical responses of Amblyseius largoensis (Acari: Phytoseiidae) to Raoiella indica (Acari: Tenuipalpidae). Exp. Appl. Acarol. 57: 361–372. Google Scholar


H. Y. Chao , Y. H. Chiang , S. L. Lee , C. S. ChiU , and W. F. Su 1979. A preliminary study on the relation between the prevalence of the citrus yellow shoot (huanglongbing) and the citrus psyllid, Diaphorina citri Kuwayama. Acta Phytopath. Sinica 9: 121–126. Google Scholar


B. A. Croft , J. S. Blackwood , and J. A. McMurtry 2004. Classifying life-style types of phytoseiid mites: diagnostic traits. Exp. Appl. Acarol. 33: 247–260. Google Scholar


P. De Clercq , J. Mohaghegh , and L. Tirry 2000. Effect of host plant on the functional response of the predator Podisus nigrispinus (Heteroptera: Pentatomidae). Biol. Control 18: 65–70. Google Scholar


G. J. De Moraes , J. A. McMurtry , H. A. Denmark , and C. B. Campos 2004. A revised catalog of the mite family Pytoseiidae. Zootaxa, Magnolia Press. 494 pp. Google Scholar


G. C. Fan , B. Liu , R. J. Wu , T. LI , Z. J. Cai , and C. Ke 2009. Thirty years of research on citrus huanglongbing in China. Fujian J. Agric. Sci. 24: 183–190. Google Scholar


C. S. Hollino 1959a. The components of predation as revealed by a study of small mammal predation of European pine sawfly. Canadian Entomol. 91: 293–329. Google Scholar


C. S. Hollino 1959b. Some characteristics of simple types of predation and parasitism. Canadian Entomol. 91: 385–98. Google Scholar


C. S. Hollino 1961. Principles of insect predation. Annu. Rev. Entomol. 6: 163–182. Google Scholar


C. S. Hollino 1965. The functional response of predators to prey density and its role in mimicry and population regulation. Mem. Entomol Soc. Canada 45: 1–60. Google Scholar


M. A. Hoy , and R. Nguyen 2001. Classical biological control of Asian citrus psylla. Citrus Ind. 81: 48–50. Google Scholar


M. A. Hoy 2011. Agricultural acarology: introduction to integrated mite management. CRC Press, Florida. 410 pp. Google Scholar


M. D. Huang 2009. Studies on citrus insect pests. Sun Yat-sen University Press, Guangzhou. 458 pp. (In Chinese). Google Scholar


S. A. Juliano 2001. Nonlinear curve fitting: predation and functional response curves, pp. 178–196 In S. M. Scheiner and J. Gurevitch [eds.], Design and analysis of ecological experiments, second ed. Oxford Univ. Press, New York. 432 pp. Google Scholar


H. H. Koehler 1999. Predatory mites (Gamasina, Mesostigmata). Agric. Ecosystems. Environ. 74: 395–410. Google Scholar


T. S. Kostiainen , and M. A. Hoy 1996. The Phytoseiidae as biological control agents of pest mites and insects. Abibliography (1960–1994). Monography 17, University of Florida, Agric. Exp. Sta. 355 pp. Google Scholar


R. A. Laumann , M. C. B. Moraes , M. Pareja , G. C. Alarca , A. C. Botelho , A. H. N. Maia , E. Leonardecz , and M. Borges 2008. Comparative biology and functional response of Trissolcus spp. (Hymenoptera: Scelionidae) and implications for stink bugs (Hemiptera: Pentatomidae) biological control. Biol. Control 44: 32–41. Google Scholar


S. A. Lopes , G. F. Frare , P. T. Yamamoto , A. J. Ayres , and J. C. Barbosa 2007. Ineffectiveness of pruning to control citrus huanglongbing caused by Candidatus Liberibacter americanus. European J. Plant Pathol. 119: 463–468. Google Scholar


M. Juan-Blasco , J. A. Qureshi , A. Urbaneja , and P. A. Stansly 2012. Predatory mite, Amblyseius swirskii (Acari: Phytoseiidae), for biological control of Asian citrus psyllid, Diaphorina citri (Hemiptera: Psyllidae). Florida Entomol. 95: 543–551. Google Scholar


J. P. Michaud 2002. Biological control of Asian citrus psyllid (Homoptera: Psyllidae) in Florida. A preliminary report. Entomol. News 113: 216–222. Google Scholar


J. P. Michaud 2004. Natural mortality of Asian citrus psyllid (Homoptera: Psyllidae) in central Florida. Biol. Control 29: 260–269. Google Scholar


N. J. Mills , and I. Lacan 2004. Ratio dependence in the functional response of insect parasitoids: evidence from Trichogramma minutum foraging for eggs in small patches. Ecol. Entomol. 29: 208–216. Google Scholar


W. W. Murdoch 1977. Stabilizing effects of spatial heterogeneity in predator-prey systems. Theoretical Popul. Biol. 2: 252–273. Google Scholar


G. P. Opit , J. R. Nechols , and D. C. Margolies 2004. Biological control of two spotted spider mites, Tetranychus urticae Koch (Acari: Tetranychidae), using Phytoseiulus persimilis Athias-Henriot (Acari: Phy-toseidae) on ivy geranium: assessment of predator release ratios. Biol. Control 29: 445–452. Google Scholar


G. C. Ouyang , N. Chen, M. F. Guo , and X. D. Fang 2011. Strategy, technique of huanglongbing disease control by ecological control of citrus psyllid. South China Fruits 40: 25–27. (In Chinese). Google Scholar


C. H. Ouyang , Y. Z. Tang , L. Zhong , and A. P. Zhong 2007. Report on the effects of releasing Amblyseius barkeri (Hughes) to control Panonychus citri McGregor in Anyuan County. Jiangxi Plant Prot. 30: 101–104. (In Chinese). Google Scholar


W. P. J. Overmeer 1981. Notes on breeding phytoseiid mites from orchards (Acarina: Phytoseiidae) in the laboratory. Mededelingen van de Faculteit Land-bouwwetenschappen Rijksuniversiteit Gent 46: 503–509. Google Scholar


A. Pervez , and Omkar . 2005. Functional responses of coccinellid predators: an illustration of a logistic approach. J. Insect Sci. 5: 1–6. Google Scholar


R. W. H. Pluke , A. Escribano , J. P. Michaud , and P. A. Stansly 2005. Potential impact of lady beetles on Diaphorina citri (Homoptera: Psyllidae) in Puerto Rico. Florida Entomol. 88: 123–128. Google Scholar


S. Y. Popov , and A. V. Kondryakov 2008. Reproductive tables of predatory phytoseiid mites (Phytoseiulus persimilis, Galendromus occidentalis and Neoseiulus cucumeris). Entom. Rev. 88: 658–665. Google Scholar


J. A. Qureshi , and P. A. Stansly 2008. Rate, placement, and timing of aldicarb applications to control Asian citrus psyllid, Diaphorina citri (Hemiptera: Psyllidae) in oranges. Pest Mgt. Sci. 64: 1159–1169. Google Scholar


J. A. Qureshi , and P. A. Stansly 2009. Exclusion techniques reveal significant biotic mortality suffered by Asian citrus psyllid Diaphorina citri (Hemiptera: Psyllidae) populations in Florida citrus. Biol. Control 50: 129–136. Google Scholar


D. J. Rogers 1972. Random search and insect population models. J. Animal Ecol. 41: 369–383. Google Scholar


M. W. Sabelis 1985. Predator-prey interaction: predation on spider mites, pp. 103–129 In W. Helle and M. W. Sabelis [eds.], Spider mites: their biology, natural enemies and control. Elsevier, Amsterdam, Netherland. 458 pp. Google Scholar


J. L. Shipp , and G. H. Whitfield 1991. Functional response of the predatory mite, Amblyseius cucumeris (Acari: Phytoseiida), on western flower thrips, Frankliniella occidentalis (Thysanoptera: Thripidae). Environ. Entomol. 20: 694–699. Google Scholar


J. L. Shipp , and K. Wang 2003. Evaluation of Amblyseius cucumeris (Acari: Phytoseiidae) and Orius insidiosus (Hemiptera: Anthocoridae) for control of Frankliniella occidentalis (Thysanoptera: Thripidae) on greenhouse tomatoes. Biol. Control 3: 271–281. Google Scholar


M. E. Solomon 1949. The natural control of animal populations. J. Animal Ecol. 18: 1–35. Google Scholar


J. C. Trexler , C. E. McCulloch , and J. Travis 1988. How can the functional response best be determined? Oecologia 76: 206–214. Google Scholar


Y. M. Van Houten , P. Van Stratum , J. Bruin , and A. Veerman 1995. Selection for non-diapause in Amblyseius cucumeris and Amblyseius barkeri and exploration of the effectiveness of selected strains for thrips control. Entomol. Exp. Appl. 77: 289–295. Google Scholar


J. X. Wei , B. Luo , Y. Shao , H. Q. Liu , and G. C. Zhang 2013. Studies on Amblyseius barkeri (Hughes) for controlling Panonychus citri (McGregor) in Sichuan and Chongqing area. South China Fruits 42: 49–50. (In Chinese). Google Scholar


W. N Wu , J. F. Ou, and J. L. Huang 2009. Fauna sinica, invertebrata vol. 47, Arachnida, Acari, Phytoseiidae. Science Press, Beijing. 511 pp. (In Chinese). Google Scholar


Y. F. Xiao , and H. Y. Fadamiro 2010. Functional responses and prey-stage preferences of three species of predacious mites (Acari: Phytoseiidae) on citrus red mite, Panonychus citri (Acari: Tetranychidae). Biol. Control 53: 345–352. Google Scholar


Y. P. Yang , M. D. Huang , G. A. C. Beattie , Y. L. Xia , G. C. Ouyang , and J. J. Xiong 2006. Distribution, biology, ecology and control of the psyllid Diaphorina citri Kuwayama, a major pest of citrus: a status report for China. Intl. J. Pest Mgt. 52: 343–352. Google Scholar


Y. X. Zhang , J. Z. Lin , and J. Ji 2002. Controlling Panonychus citri (McGregor) with Amblyseius cucumeris produced in factory. Plant Prot. Tech. Ext. 22: 25–28. (In Chinese). Google Scholar


Y. X. Zhang , N. Chen , J. Z. Lin , X. Chen , J. JI , and L. Sun 2010. Preliminarily study on controlling huanglongbing by predatory mite. Fujian Agric. Sci. Tech. 6: 60–61. (In Chinese). Google Scholar
Xiaoduan Fang, Huilin Lu, Gecheng Ouyang, Yulu Xia, Mingfang Guo, and Weinan Wu "Effectiveness of Two Predatory Mite Species (Acari: Phytoseiidae) in Controlling Diaphorina citri (Hemiptera: Liviidae)," Florida Entomologist 96(4), 1325-1333, (1 December 2013).
Published: 1 December 2013
biological control
Control biológico
functional and numerical response
Neoseiulus barkeri
Neoseiulus cucumeris
respuestas funcional y numérica
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