Next Article in Journal
New Insights into the Life History Changes Can Enhance Control Strategies for Therioaphis trifolii
Next Article in Special Issue
Microwaves Induce Histological Alteration of Ovaries and Testis in Rhynchophorus ferrugineus Oliv. (Coleoptera: Curculionidae)
Previous Article in Journal
Paradigm and Framework of WUS-CLV Feedback Loop in Stem Cell Niche for SAM Maintenance and Cell Identity Transition
Previous Article in Special Issue
Climate Change Promotes the Large-Scale Population Growth of Grapholita molesta (Busck) (Lepidoptera: Tortricidae) within Peach Orchards in China
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Agronomy
Volume 12
Issue 12
10.3390/agronomy12123134
agronomy-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Ladybird-Mediated Indirect Interactions between Two Aphid Species When Using a Banker Plant System

by
Yajie Yang
1,2,
Jie Wang
2,
Yingying Mi
2,
Junjie Gu
1,
Giovanni Benelli
3,
Nicolas Desneux
4,
Su Wang
2,
Shu Li
2,* and
Yanli Yue
1,*
1
College of Agronomy, Sichuan Agricultural University, Chengdu 611130, China
2
Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
3
Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, 856124 Pisa, Italy
4
Institut Sophia Agrobiotech, Université Côte d’Azur, INRAE, CNRS, UMR ISA, 06000 Nice, France
*
Authors to whom correspondence should be addressed.
Agronomy 2022, 12(12), 3134; https://doi.org/10.3390/agronomy12123134
Submission received: 11 November 2022 / Revised: 5 December 2022 / Accepted: 6 December 2022 / Published: 9 December 2022
(This article belongs to the Special Issue Ecological Management of Pests)
Browse Figures
Versions Notes

Abstract

:
Banker plant systems have the advantages of introducing natural enemies preventively and maintaining by providing alternative prey, thus controlling the pests sustainably. Banker plant systems are usually composed of three factors: a banker (secondary) plant, an alternative prey, and a shared predator (attacking an alternative prey on the secondary plant, and the targeted pest on the crop). However, for most banker plant systems, there is a lack of understanding regarding the dynamic relationship among these elements, with detrimental effects on practical applications. Therefore, in this study, the control of Myzus persicae on Capsicum annum by the Coccinella septempunctata–Megoura japonica–Vicia faba banker plant system was used as the research system. The effects of different release time of predators, different initial numbers of alternative prey (Me. japonica) and different initial ratios of target pests/alternative prey on the indirect interaction of two aphids and the biological control effect of shared predators were tested. The occurrence of indirect interactions between the two aphid preys, the impact on population dynamics, and biological control effectiveness of the shared predator C. septempunctata were investigated. When the initial numbers of both species of aphids were equal (200 each), the delay between aphid and C. septempunctata introduction in the cage had no effect on My. persicae, but Me. japonica showed lower numbers when testing the least time between predatory introductions. When the numbers of the two aphids were manipulated, the My. persicae population was significantly reduced by the predator only at a ratio of My. persicae to Me. japonica < 1, while initial ratios ≥ 1 enabled My. persicae population growth. In 1–6 days, the control effect of C. septempunctata was the best. Principal component analysis showed that the experimental time, initial numbers of Me. japonica, and relative numbers of Me. japonica affected the predation of My. persicae by C. septempunctata. In addition, when the initial aphid ratio was greater than 1/4, C. septempunctata was able to effectively control My. persicae. Overall, our study confirmed the number-mediated indirect interaction (apparent competition) relationship and its impact on prey population dynamics. We provide useful information for optimizing banker plant systems, to boost biocontrol of aphid pests.

1. Introduction

The aim of Integrated Pest Management (IPM) is to keep pests below the economic threshold level [1,2,3]. Within IPM, biological control is a key lever via the release of natural enemies, as well as through methods promoting them in fields [4,5,6]. In addition, the mass release of natural enemies can effectively control pests, but this approach can be costly and not applicable in all agroecosystems [7,8,9]. Conservation biological control (CBC) provides natural enemy populations with increased availability of food supplements and habitats, thereby boosting sustainable pest control [4,10,11,12,13]. Compared with other biological control strategies, such as inoculative and inundatory biological control needing multiple natural enemy releases over time, CBC relying on banker plant systems may be effective in pest control by allowing the maintenance of natural enemy populations in cropping systems [14].
The banker plant system indirectly provides substitute hosts, preys, nutrients, and habitats for biological control agents (BCA) through the presence of non-crop plants that provide nutrients for alternative preys and hosts, allowing the reproduction and survival of natural enemies, thereby inhibiting the growth of pest populations in greenhouses or fields for a medium-to-long periods [15,16]. This CBC tool combines BCA protection and supplementation [17,18,19]. The banker plant system includes beneficial organisms (predators or parasitoids), one or more alternative preys, and their banker plants [4,15,16,20]. In the absence of pests in the early stage, a banker plant can improve the survival rate of natural enemies, helps to establish stable populations in agroecosystems, and favorably enhances biological control success [14].
However, most of the research on this topic has focused on the design of banker plant systems through screening constituent factors, performing suitability evaluations [18], and establishing quantitative effects on beneficial organisms [12,19,21,22]. Of note, the initial numbers of pests and alternative preys in banker plant systems can also have an impact on pest control. There are few studies on the optimization of various factors in banker plant systems; due to the lack of understanding regarding the dynamic relationship between alternative preys, target pests, and natural enemies, the need for quantitative regulation in practical applications has not been met [20]. When two prey populations that do not directly compete for resources have a shared predator, predator-mediated indirect interactions between the two preys could be influential factors on prey population growth [23,24,25]. The initial population of a species affects the interaction between the others [25]. Whether there is an indirect relationship between the shared predator-mediated captured prey species in banker plant systems (Figure 1) needs to be further explored, especially the different numbers of target pests and alternative preys.
In a complex food web structure, a species mediates an indirect interaction between two prey species. For example, the presence of a substitute prey can enhance or disperse the predation of another prey by shared predators (apparent mutualism or apparent competition), and the apparent relationship can be a positive interaction (apparent mutualism) or a negative interaction (apparent competition) [23,26,27,28]. Research has shown that the indirect effects of apparent mutualism and apparent competition are a continuum of change: in simple food chain systems, population changes can be mediated by frequent changes in the instantaneous dynamics of predators and prey populations [29]. Apparent competition is a phenomenon where a certain prey population indirectly leads to the decline of another prey population by maintaining a common predator [30,31]. Therefore, clarifying the indirect-role relationship in the banker plant system is conducive to better manage the prey species in a sustainable CBC scenario.
The aim of this study was to evaluate the initial numbers of two prey species in a C. septempunctata–Me. japonica–V. faba banker plant system to simulate the population dynamics of C. septempunctata feeding on two prey species under different predation pressures (Figure 1). The biocontrol efficacy of C. septempunctata on My. persicae was determined, providing a theoretical basis for the short-term indirect correlation between shared predators and captured prey species.

2. Materials and Methods

2.1. Tested Insects

(1)
The initial C. septempunctata population was obtained from the laboratory of the Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences. Fifty male and 50 female adult lady bugs were reared, one per mesh cage (100 cages). There was an expanded female ladybird population for all cage trials. Broad bean seedlings infested with many Me. japonica were continuously provided as a food source and as oviposition sites for the ladybirds.
(2)
The My. persicae population originated from peppers in the greenhouse of Beijing Noah Agricultural Development Co., Ltd. (Beijing, China). Rearing was conducted using pepper seedlings as host plants.
(3)
Me. japonica was obtained from a long-term breeding population of the Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences. Inoculation was carried out on 1-year-old broad bean seedlings for population propagation in 100 mesh insect cages. Synonymy of Megoura crassicauda Mordvilko, 1919 with Megoura japonica (Matsumura,1918) [32].
All the insect rearing conditions were regulated by a fully automatic room environment control system (LT-100, Suntech, Beijing), at 25 ± 1 °C, 70 ± 5% R.H., 16:8 (L:D) photoperiod, and light intensity of 1100 lux. These conditions applied to alternative prey, banker plant and all experiments.

2.2. Tested Plants

Vicia faba seeds were purchased from a market and soaked in water indoors until the seeds absorbed enough water. After the germination of the broad bean seeds, five germinated broad bean seeds were planted in vermiculite in plastic pots (length × width × height: 30 × 17 × 6 cm). Plants were placed under the conditions reported above for 14 days, and regularly checked for their growth status; experiments started when they reached the 5- to 6-leaf stage.
Capsicum annuum seedlings (variety Zhongjiao 105) were obtained from Beijing Noah Agricultural Development Co., Ltd. A single plant was planted in a flowerpot with a height of 20 cm and a diameter of 13 cm. The matrix components of the flowerpot were vermiculite, perlite, and peat soil mixed in a ratio of 1:1:4 in a pot (diameter × height: 13 × 10 cm). The bottom of the tray was filled with water until the soil had absorbed it and was slightly wet. The experiment started when the plants reached the 5- to 8-leaf stage. The cultivation environment conditions were as mentioned above.

2.3. Experimental Methods

2.3.1. Effects of Different Release Times of C. septempunctata on the Population Dynamics of My. persicae and Me. japonica

In each of the 100 insect mesh cages (length × width × height of 35 × 35 × 55 cm) that were held at 25 ± 1 °C, 70 ± 5% R.H., and LD 16:8 h, we placed a pot of broad bean seedlings and a pot of pepper seedlings. Before the experiment, we introduced separately 200 My. persicae and 200 Me. japonica of the same proportion into pepper and broad bean plants. The next day, aphids were removed or added to ensure the population were exactly 200. If not up to 200 aphids initially, they would be added to reach 200 aphids. The newly emerged and mated female adults of C. septempunctata were introduced to plants using a brush. The different release times of C. septempunctata were set up, which consisted of two treatments, i.e., 12 h and 24 h, with 0 h as the control treatment, in which the numbered C. septempunctata were released in their respective cages. Populations of My. persicae on whole pepper plants and Me. japonica on whole broad bean plants were investigated in this experiment. Each treatment was repeated 15 times.

2.3.2. Temporal Dynamic Effects of C. septempunctata on My. persicae and Me. japonica in Banker Plant Systems with Different Initial Ratios

To clarify the population preference of C. septempunctata regarding the two aphid species, we designed a banker plant system with different initial ratios of the target pest to the alternative prey, i.e., My. persicae: Me. japonica ratios of 100:300, 200:200, and 300:100. Pepper seedlings (1 plant/pot) and broad bean seedlings (5 plants/pot) were placed diagonally in the insect cage. Flowerpots containing pepper plants and flowerpots containing broad bean plants were placed diagonally in a cage. We infested seedlings with aphids using different initial ratios. Each survey was conducted from 8:00 a.m. to 10:00 a.m. for 15 consecutive days. The survival of C. septempunctata was observed on the 1st, 3rd, 6th, and 9th day. The populations of My. persicae and Me. japonica were recorded. Each treatment was repeated 15 times.

2.3.3. The Effect of C. septempunctata on the Population of My. persicae in Alternative-Prey Banker Plant Systems with Different Initial Numbers

Healthy and well-developed broad bean plants were infested with Me. japonica nymphs at different initial numbers (i.e., 0, 50, 100, 200, and 400 individuals); 100 My. persicae-infested pepper plants were planted diagonally above the cage. The number of aphids in each treatment was confirmed the next day. At the beginning of each experiment, a female C. septempunctata was released into each cage. These were mated (without spawning) and starved for 24 h prior to release.

2.4. Statistical Analyses

The populations of My. persicae and Me. japonica were subjected to one-way ANOVA using SPSS 22.0, and Duncan’s test was selected for the significance of differences (p < 0.05). All data were plotted using Origin Pro and R. To better understand our initial results, we performed principal component analysis (PCA) on data of the relative abundance of Me. japonica and My. persicae for different initial numbers of Me. japonica and initial numbers of My. persicae: 100 aphids/plant. We tested the relationship between the experimental day (t), initial numbers of Me. japonica (Me. j0), relative numbers of Me. japonica (Me. jt), relative numbers of My. persicae (My. pt), and the ratio of My. persicae/Me. japonica (My. pt/Me. jt), where Me. jt or My. pt is the number of aphids at an experimental time, Me. j0 is the initial numbers of aphids, and t is days interval between Me. jt and Me. j0. Prior to PCA, the abundance data were transformed by log10 (x + 1) to decrease the model error estimated. PCA was fitted with the function “procomp”of the R 4.2.1 software.

3. Results

3.1. Effects of Different Release Times of C. septempunctata on My. persicae and Me. japonica Populations in the Banker Plant System

When the initial numbers of My. persicae and Me. japonica were equal, C. septempunctata releases at different times showed no significant effects on My. persicae population over time. For the day 6 and 9 time points, the increase in Me. japonica has been added to Figure 2 to make it easier to view. The populations of My. persicae and Me. japonica were comparable on day 3 in 12 h and 24 h release treatments. The predation of the target pest, My. persicae, was not affected by the predation pressure generated by the release of C. septempunctata at 12 h and 24 h during the first 9 days, while the Me. japonica population was affected. Concerning the control release (0 h delay), the population increased between the 12 h and 24 h delay, while that in the 0 h delay assay firstly decreased and then increased (Figure 2A). The My. persicae population was significantly higher at the 6 and 9 day time points for both 12 and 24 h delay treatments compared to the 0 h control Me. japonica (F6,44 = 6.029, p = 0.05; F9,44 = 3.998, p = 0.026) (Figure 2B). Me. japonica showed lower numbers in the 0 h delay treatment.

3.2. Effects of Different Initial Prey Ratios on the Temporal Dynamics of My. persicae and Me. japonica in a Banker Plant System with C. septempunctata

When the total and initial numbers of coccinellids and aphids, respectively, in each cage were the same, increasing the initial ratio of My. persicae to Me. japonica, C. septempunctata released at different times had an asymmetrical indirect interaction with the two aphid species. On the first day, the indirect interactions between the three initial ratios were all biased toward My. persicae (Figure 3A); within 3–9 days, in the treatment with an initial ratio of My. persicae to Me. japonica ≥ 1, the indirect interaction was biased toward My. persicae; the treatment with an initial ratio < 1 caused the indirect interaction between the two aphids to be significantly biased toward Me. japonica (Figure 3B–D, F3,44 = 4.035, P3 = 0.025). This means that in the short term (0–9 days), when the initial ratio of My. persicae and Me. japonica was 1/3–3, the initial ratio of the two prey species was ≥1, and the negative effect of C. septempunctata on My. persicae was stronger than that of Me. japonica. Thus, C. septempunctata was able to control the target pest My. persicae through direct and/or indirect interaction under the influence of the initial prey ratio.
With the increase in the alternative prey initial numbers, the population of My. persicae decreased, but its own population increased nonlinearly (Figure 4A,B). In the banker plant system with different initial numbers of My. persicae and Me. japonica, when the ratio of the initial numbers of My. persicae to the numbers of Me. japonica was ≥1, we observed a growth in My. persicae population. When the initial ratio was <1, My. persicae population showed a decline and reached the maximum on the 6th day; there was a significant difference in the net growth of the My. persicae populations among the three treatments (Figure 5).

3.3. Temporal Dynamic Effects of C. septempunctata on My. persicae in the Banker Plant System with Different Initial Numbers of the Alternative Prey

As shown in Figure 6, when the population of the target pest My. persicae was 100, the population of My. persicae and Me. japonica differed significantly in the C. septempunctata banker plant system constructed by replacing the My. persicae with different initial numbers (Figure 6A). On the 9th day, My. persicae population in the treatment with an initial population of 400 individuals was significantly higher than that in the other treatments (p < 0.05), so the control effect of the target pest was the best when the initial numbers of the two aphids exceeded 1/4.
To further analyze the difference between the factors that influenced the composition of the My. persicae population, a principal component analysis (PCA) was performed on the experimental time (t), initial numbers of Me. japonica (Me. j0), relative numbers of Me. japonica (Me. jt), relative numbers of My. persicae (My. pt), and the My. persicae/Me. japonica ratio (My. pt/Me. jt) (Figure 6B). The first principal component had a value of 82.6%, and the second principal component had a value of 12.14%. There were overlaps in the spatial distribution of the other four treatments, except for the treatment with Me. japonica in terms of initial numbers. The similarity between the My. persicae populations was very high when the initial numbers of the alternative prey were 50, 100, and 200. The time on PCA1 mainly reflects the information regarding the My. persicae population in different treatments over different times. Time on PCA2 mainly reflected the initial and relative numbers of Me. japonica and the information regarding the My. persicae populations in different treatments, including the interaction of time, the initial numbers, and the relative numbers of alternative prey; these factors significantly affected My. persicae populations (Ft,213 = 44.79; FMe. j0,213 = 534.91; FMe. jt,213 = 238.59; p < 0.001).

4. Discussion

In our experiments, we quantitatively manipulated the relative numbers of the target pest, My. persicae, and the alternative prey, Me. japonica, in the C. septempunctata banker plant system to clarify the instantaneous dynamic relationship between two aphid species with a common predator. The initial ratio of the two aphids was in the region of 1/3–3. The presence of more alternative prey led to an indirect asymmetric interaction between My. persicae and Me. japonica. Over time, this asymmetric effect shifted from favoring My. persicae to being biased toward Me. japonica. Although the target pest’s population was unaffected at spatially induced predation pressure, the time of investigation and relative numbers of Me. japonica had a direct impact on the population of My. persicae. Determining the quantity of prey in a banker plant system is crucial. The control effect on target pests may be impacted by an excessive number of alternative preys in the system, which may result in concentrated feeding of natural enemy insects. A lack of available alternative prey will encourage the spread of natural enemies to target crops.
In ecosystems, insect communities can be constructed through time and space [31,33,34]; space–time conversion can predict changes in population dynamics, and this can only solve the problem of ecological experiments having low repeatability or false repetitions on a large scale, and also help face the challenge of ecological experiments dealing with a narrow distribution of research objects, small spatial scale, and long-term observation data [35,36,37]. Herein, a release–retrieve–release experiment with C. septempunctata was conducted in a banker plant system. The time-for-space method was used to examine the effects of C. septempunctata under various predation pressures on the populations of My. persicae and Me. japonica. Our results showed that the length of the recovery–release time interval of C. septempunctata caused predation pressure, but this had no appreciable impact on the My. persicae populations. However, it had a significant impact on the alternative prey, Me. japonica. The predation pressure produced by exchanging time for space had no effect on the target pest populations due to the short-term indirect interaction between the two prey species mediated by BCA. Natural enemies can successfully suppress pest numbers to some extent when their populations coincide in both space and time [38].
Studies focusing on the apparent competition between predators and prey have shown that the prey numbers frequently influence the aggregation reaction of the predators, creating an apparent competition [39,40]. This was discovered through observations of the predation behavior in a particular space and/or patch. In our banker plant system, when My. persicae and Me. japonica shared the BCA C. septempunctata, at various initial numbers of alternative prey, the negative impact on aphids gradually diminished as the alternative prey numbers increased. In the short term, the reduction in alternative prey significantly promoted the reproduction of My. persicae. This is consistent with Leman’s test on thrips [41], where the supplementation of alternative food boosted thrips’ reproduction. Although such indirect interactions cannot be measured explicitly, our study directly supports them. C. septempunctata is a co-predator of My. persicae and Me. japonica. The indirect interaction between the two prey species might alter quickly, which is beneficial for the prey population changes [27,42,43,44]. Nevertheless, when the initial numbers of Me. japonica expanded, the impact on the population of My. persicae increased gradually, demonstrating that number-mediated apparent competition occurred. In the predator–prey system Lachnus niger–Lachnus tropicalis–Myzocallis kuricola, increasing the population of L. tropicalis decreased the population of L. tropicalis. This increase in prey numbers also increased the predation pressure of co-predators, which had an asymmetric negative effect on the population of other prey species [45].
Indirect interaction mediated by natural enemy numbers was verified in an apparent competition model. Research showed that changes in alternative prey numbers may alter the population balance in a basic ecosystem with predator–alternative prey–target pests [46]. The initial numbers affected species coexistence, and the numbers and species coexistence mediated apparent competition with natural enemies. For example, Eotetranychus pruni significantly raised the predator population and indirectly reduced the population of Tetranychus urticae when it was introduced into apple orchards with an alternative prey and its natural enemy, Euseius finlandicus [46,47]. In addition, intraspecies interactions of predatory coccinellids have an influence on population establishment and pest control in banker plant systems [48,49,50], and this may impact the strength and direction of indirectly mediated interactions.
The timing of the banker plant system’s installation, the method of releasing natural enemies, and the relative numbers of the prey all have a role in how effective natural enemies are at controlling pests. These factors directly affect the results of pest management, and the most critical factor is the number of preys [51,52]. The competitive relationship between the number of substitute prey and target pests in the short term was examined here by maintaining the initial numbers of the target pests and changing the initial numbers of the alternative prey, Me. japonica. Different initial populations of the alternative prey, Me. japonica, significantly affected the population dynamics of the target pest, My. persicae, and the control effect of the target pest was the best when the initial numbers of the two aphids exceeded 1/4. Both population and trait regulation (behavioral or life history) influence the interaction between two prey species mediated by a third species, and numbers-mediated indirect interactions can alter ecosystem structures and population dynamics [53,54,55]. This has been widely used for studying predation behavior to identify midgut prey detection using molecular marker techniques [56,57]. This method may help to quantitatively and qualitatively characterize the strength and direction of indirect interactions mediated by predators at molecular level in the future.
The focus of this research was to advance our understanding about indirect interactions in food webs and the potential benefits of increased biodiversity in the CBC of crop pests [51,58,59,60]. Further research on phenological synchronicity in other systems will help to shed light on the presence and relevance of such mechanisms and their predictive capacity for ecosystem management in crops [61]. The current quantitative regulatory experiment, which was conducted under controlled environmental conditions, carefully monitored the dynamics of the interactions between two prey species sharing the same predator through time and in various numbers. It can help to clarify how and when indirect interactions prey may change under different parameters in a banker plant system, and the findings may enable improvement of banker plant systems and biocontrol services offered. This work may provide information for optimizing IPM packages relying on C. septempunctata banker plant-based systems [4], and more broadly may help in the goal of reducing insecticides [62,63,64,65] in IPM packages [66] in various agricultural settings.

Author Contributions

Conceptualization, S.L., Y.Y. (Yanli Yue), N.D. and S.W.; methodology, S.L. and Y.Y. (Yajie Yang); software, S.W., S.L. and Y.Y. (Yajie Yang); validation, Y.Y. (Yanli Yue) and S.W.; formal analysis, Y.Y. (Yajie Yang), S.L., J.W., Y.Y. (Yanli Yue), G.B. and S.W.; investigation, Y.Y. (Yajie Yang), Y.M. and J.W.; resources, S.L. and Y.Y. (Yajie Yang); data curation, Y.Y. (Yajie Yang), Y.M. and S.L.; writing—original draft preparation, Y.Y. (Yajie Yang), S.L., J.W., Y.M., J.G., Y.Y. (Yanli Yue) and S.W.; writing—review and editing, Y.Y. (Yajie Yang), S.L., J.W., Y.M., J.G., G.B., Y.Y. (Yanli Yue) and S.W.; visualization, Y.Y. (Yanli Yue) and S.L.; supervision, S.L., Y.Y. (Yanli Yue) and S.W.; project administration, S.L.; funding acquisition, S.W. and S.L. All authors have read and agreed to the published version of the manuscript.

Funding

This study was funded by the National Natural Science Foundation of China (32202372; 32001904), and the Technical Innovation Program of Beijing Academy of Agriculture and Forestry Sciences (KJCX20200110).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets generated during the study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare that there are no conflicts of interest.

References

  1. Mkenda, P.A.; Ndakidemi, P.A.; Stevenson, P.C.; Arnold, S.E.J.; Belmain, S.R.; Chidege, M.; Gurr, G.M. Field margin vegetation in tropical African bean systems harbours diverse natural enemies for biological pest control in adjacent crops. Sustainability 2019, 11, 6399. [Google Scholar] [CrossRef] [Green Version]
  2. Desneux, N.; Han, P.; Mansour, R.; Arnó, J.; Brévault, T.; Campos, M.R.; Chailleux, A.; Guedes, R.N.C.; Karimi, J.; Konan, K.A.J.; et al. Integrated Pest Management of Tuta absoluta: Practical Implementations across Different World Regions. J. Pest Sci. 2022, 95, 17–39. [Google Scholar] [CrossRef]
  3. Santoiemma, G.; Tonina, L.; Marini, L.; Duso, C.; Mori, N. Integrated management of Drosophila suzukii in sweet cherry orchards. Entomol. Gen. 2020, 40, 297–305. [Google Scholar] [CrossRef]
  4. Han, P.; Lavoir, A.V.; Rodriquez-Saona, C.; Desneux, N. Bottom-up forces in agroecosystems and their potential impact on arthropod pest management. Annu. Rev. Entomol. 2022, 67, 239–259. [Google Scholar] [CrossRef] [PubMed]
  5. Gurr, G.M.; Wratten, S.D.; Landis, D.A.; You, M.S. Habitat management to suppress pest populations: Progress and prospects. Annu. Rev. Entomol. 2017, 62, 91–109. [Google Scholar] [CrossRef]
  6. Thomine, E.; Rusch, A.; Supplisson, C.; Monticelli, L.S.; Amiens-Desneux, E.; Lavoir, A.V.; Desneux, N. Highly diversified crop systems can promote the dispersal and foraging activity of the generalist predator Harmonia axyridis. Entomol. Gen. 2020, 40, 133–145. [Google Scholar] [CrossRef] [Green Version]
  7. Zang, L.S.; Wang, S.; Zhang, F.; Desneux, N. Biological control with Trichogramma in China: History, present status, and perspectives. Annu. Rev. Entomol. 2021, 66, 463–484. [Google Scholar] [CrossRef]
  8. Huang, N.X.; Jaworski, C.C.; Desneux, N.; Zhang, F.; Yang, P.Y.; Wang, S. Long-term and large-scale releases of Trichogramma promote pesticide decrease in maize in northeastern China. Entomol. Gen. 2020, 40, 331–335. [Google Scholar] [CrossRef]
  9. Pijnakker, J.; Vangansbeke, D.; Duarte, M.; Moerkenset, R.; Wäckers, F.L. Predators and parasitoids-in-first: From inundative releases to preventative biological control in greenhouse crops. Front. Sustain. Food Syst. 2020, 4, 595630. [Google Scholar] [CrossRef]
  10. Sanchez, J.A.; López-Gallego, E.; Pérez-Marcos, M.; Perera−Fernández, L. The effect of banker plants and pre-plant release on the e ablishment and pest control of Macrolophus pygmaeus in tomato greenhouses. J. Pest Sci. 2021, 94, 297–307. [Google Scholar] [CrossRef]
  11. Ardanuy, A.; Figueras, M.; Matas, M.; Arnóet, J.; Agustí, N.; Alomar, Ò.; Albajes, R.; Gabarra, R. Banker plants and landscape composition influence colonisation precocity of tomato greenhouses by mirid predators. J. Pest Sci. 2022, 95, 447–459. [Google Scholar] [CrossRef]
  12. Xiao, Y.F.; Avery, P.; Chen, J.J.; McKenzie, C.; Osborne, L.S. Ornamental pepper as banker plants for establishment of Amblyseius swirskii (Acari: Phytoseiidae) for biological control of multiple pests in greenhouse vegetable production. Biol. Control 2012, 63, 279–286. [Google Scholar] [CrossRef]
  13. Jaworski, C.C.; Xiao, D.; Xu, Q.; Ramirez-Romero, G.; Guo, X.J.; Wang, S.; Desneux, N. Varying the spatial arrangement of synthetic herbivore-induced plant volatiles and companion plants to improve conservation biological control. J. Appl. Ecol. 2019, 56, 1176–1188. [Google Scholar] [CrossRef]
  14. Huang, N.X.; Enkegaard, A.; Osborne, L.S.; Ramakers, P.M.J.; Messelink, G.J.; Pijnakker, J.; Murphy, G. The banker plant method in biological control. Crit. Rev. Plant Sci. 2011, 30, 259–278. [Google Scholar] [CrossRef]
  15. Frank, S.D. Biological control of arthropod pests using banker plant systems: Past progress and future directions. Biol. Control 2010, 52, 8–16. [Google Scholar] [CrossRef]
  16. Parolin, P.; Bresch, C.; Desneux, N.; Brun, R.; Bout, A.; Boll, R.; Poncet, C. Secondary plants used in biological control: A review. Int. J. Pest Manag. 2012, 58, 91–100. [Google Scholar] [CrossRef]
  17. Chen, X.; Jaworski, C.C.; Dai, H.; Liang, Y.; Guo, X.; Wang, S.; Zang, L.S.; Desneux, N. Combining banker plants to achieve long-term pest control in multi-pest and multi-natural enemy cropping systems. J. Pest Sci. 2022, 95, 685–697. [Google Scholar] [CrossRef]
  18. Wang, J.; Li, S.; Yang, J.; Guo, M.; Dai, H.; Ramirez-Romero, R.; Jin, Z.; Wang, S. The fitness of mass rearing food on the establishment of Chrysopa pallens in a banker plant system under fluctuating temperature conditions. Insects 2021, 12, 1014. [Google Scholar] [CrossRef]
  19. Zhang, R.F.; Ji, D.Z.; Zhang, Q.Q.; Jin, L.H. Evaluation of eleven plant species as potential banker plants to support predatory Orius sauteri in tea plant systems. Insects 2021, 12, 162. [Google Scholar] [CrossRef]
  20. Parolin, P.; Bresch, C.; Poncet, C.; Desneux, N. Functional characteristics of secondary plants for increased pest management. Int. J. Pest Manag. 2012, 58, 369–377. [Google Scholar] [CrossRef]
  21. Wang, Y.S.; Yao, F.L.; Soares, M.A.; Basiri, S.E.; Amiens-Desneux, E.; Campos, M.R.; Lavoir, A.V.; Desneux, N. Effects of four non-crop plants on life history traits of the lady beetle Harmonia axyridis. Entomol. Gen. 2020, 40, 243–252. [Google Scholar] [CrossRef]
  22. Avery, P.B.; Kumar, V.; Xiao, Y.F.; Powell, C.A.; McKenzie, C.L.; Osborne, L.S. Selecting an ornamental pepper banker plant for Amblyseius swirskii in floriculture crops. Arthropod-Plant Interact. 2014, 8, 49–56. [Google Scholar] [CrossRef]
  23. Desneux, N.; O’neil, R.J. Potential of an alternative prey to disrupt predation of the generalist predator, Orius insidiosus, on the pest aphid, Aphis glycines, via short-term indirect interactions. Bull. Entomol. Res. 2008, 98, 631–639. [Google Scholar] [CrossRef] [PubMed]
  24. Bonsall, M.B.; Hassell, M.P. Apparent competition structures ecological assemblages. Nature 1997, 388, 371–373. [Google Scholar] [CrossRef]
  25. Srinivasu, P.D.N.; Vamsi, D.K.K.; Ananth, V.S. Additional food supplements as a tool for biological conservation of predator-prey systems involving type III functional response: A qualitative and quantitative investigation. J. Theor. Biol. 2018, 455, 303–318. [Google Scholar] [CrossRef]
  26. Desneux, N.; Kaplan, I.; Yoo, H.J.S.; Wang, S.; O’Neil, R.J. Temporal synchrony mediates the outcome of indirect effects between prey via a shared predator. Entomol. Gen. 2019, 39, 127–136. [Google Scholar] [CrossRef]
  27. Abrams, P.A.; Matsuda, H. Positive indirect effects between prey species that share predators. Ecology 1996, 77, 610–616. [Google Scholar] [CrossRef]
  28. Monticelli, L.S.; Desneux, N.; Heimpel, G.E. Parasitoid-mediated indirect interactions between unsuitable and suitable hosts generate apparent predation in microcosm and modeling studies. Ecol. Evol. 2021, 11, 2449–2460. [Google Scholar] [CrossRef]
  29. Brassil, C.E.; Abrams, P.A. The prevalence of asymmetrical indirect effects in two-host–one-parasitoid systems. Theor. Popul. Biol. 2004, 66, 71–82. [Google Scholar] [CrossRef]
  30. Gibson, L. The role of lethal control in managing the effects of apparent competition on endangered prey species. Wildlife Soc. B 2006, 34, 1220–1224. [Google Scholar] [CrossRef]
  31. Jaworski, C.C.; Chailleux, A.; Bearez, P.; Desneux, N. Apparent competition between major pests reduces pest population densities on tomato crop, but not yield loss. J. Pest Sci. 2015, 88, 793–803. [Google Scholar] [CrossRef] [Green Version]
  32. Lee, S.; Holman, J.; Havelka, J. Taxonomic revision of the genus Megoura Buckton (Hemiptera: Aphididae) from the Korean Peninsula with the description of a new species and a key to the world species. Proc. Entomol. Soc. Wash. 2002, 104, 447–457. [Google Scholar]
  33. Kaplan, I.; Denno, R.F. Interspecific interactions in phytophagous insects revisited: A quantitative assessment of competition theory. Ecol. Lett. 2007, 10, 977–994. [Google Scholar] [CrossRef]
  34. Blitzer, E.J.; Welter, S.C. Emergence asynchrony between herbivores leads to apparent competition in the field. Ecology 2011, 92, 2020–2026. [Google Scholar] [CrossRef] [Green Version]
  35. Stige, L.C.; Chan, K.S.; Zhang, Z.; Frank, D.; Stenseth, N.C. Thousand-year-long Chinese time series reveals climatic forcing of decadal locust dynamics. Proc. Natl. Acad. Sci. USA 2007, 104, 16188–16193. [Google Scholar] [CrossRef] [Green Version]
  36. Van Maanen, R.; Messelink, G.J.; Van Holstein-Saj, R.; Sabelis, M.W.; Janssen, A. Prey temporarily escape from predation in the presence of a second prey species. Ecol. Entomol. 2012, 37, 529–535. [Google Scholar] [CrossRef]
  37. Frost, C.M.; Peralta, G.; Rand, T.A.; Didham, R.K.; Varsani, A.; Tylianakis, J.M. Apparent competition drives community-wide parasitism rates and changes in host abundance across ecosystem boundaries. Nat. Commun. 2016, 7, 12644. [Google Scholar] [CrossRef] [Green Version]
  38. Karimzadeh, R.; Sciarretta, A. Spatial patchiness and association of pests and natural enemies in agro-ecosystems and their application in precision pest management: A review. Precis. Agric. 2022, 23, 1836–1855. [Google Scholar] [CrossRef]
  39. Park, T. Experimental studies of interspecies competition II. Temperature, humidity, and competition in two species of Tribolium. Physiol. Zool. 1954, 27, 177–238. [Google Scholar] [CrossRef] [Green Version]
  40. Van Veen, F.J.F.; Morris, R.J.; Godfray, H.C.J. Apparent competition, quantitative food webs, and the structure of phytophagous insect communities. Annu. Rev. Entomol. 2006, 51, 187–208. [Google Scholar] [CrossRef]
  41. Leman, A.; Messelink, G.J. Supplemental food that supports both predator and pest: A risk for biological control? Exp. Appl. Acarol. 2015, 65, 511–524. [Google Scholar] [CrossRef]
  42. Holt, R.D.; Lawton, J.H. The ecological consequences of shared natural enemies. Annu. Rev. Ecol. Syst. 1994, 48, 495–520. [Google Scholar] [CrossRef]
  43. Holt, R.D.; Hochberg, M.E. When is biological control evolutionarily stable (or is it)? Ecology 1997, 78, 1673–1683. [Google Scholar] [CrossRef]
  44. Emery, S.E.; Mills, N.J. Effects of predation pressure and prey density on short−term indirect interactions between two prey species that share a common predator. Ecol. Entomol. 2020, 45, 821–830. [Google Scholar] [CrossRef] [Green Version]
  45. Yu, H.; Zhong, S.; Agarwal, R.P. Mathematics and dynamic analysis of an apparent competition community model with impulsive effect. Math. Comput. Model. 2010, 52, 25–36. [Google Scholar] [CrossRef]
  46. Kaser, J.M.; Ode, P.J. Hidden risks and benefits of natural enemy-mediated indirect effects. Curr. Opin. Insect Sci. 2016, 14, 105–111. [Google Scholar] [CrossRef]
  47. Liu, C.Z.; Yan, L.; Li, H.R.; Wang, G. Effects of predator-mediated apparent competition on the population dynamics of Tetranychus urticae on apples. BioControl 2006, 51, 453–463. [Google Scholar] [CrossRef]
  48. Yang., F.; Wang, Q.; Wang, D.; Xu, B.; Xu, J.; Lu, Y.H.; Harwood, J.D. Intraguild predation among three common coccinellids (Coleoptera: Coccinellidae) in China: Detection using DNA-based gut-content analysis. Environ. Entomol. 2017, 46, 1–10. [Google Scholar] [CrossRef]
  49. Ovchinnikov, A.N.; Belyakova, N.A.; Ovchinnikova, A.A.; Reznik, S.Y. Factors determining larval cannibalistic behavior in invasive and native populations of the multicolored Asian ladybird, Harmonia axyridis. Entomol. Gen. 2019, 38, 243–254. [Google Scholar] [CrossRef]
  50. Liang, Y.Y.; Chen, X.; Dai, H.J.; Wang, J.; Guo, X.J.; Wang, S.; Jaworski, C.C. Flower provision reduces intraguild predation between predators and increases aphid biocontrol in tomato. J. Pest Sci. 2022, 95, 461–472. [Google Scholar] [CrossRef]
  51. Chailleux, A.; Mohl, E.K.; Teixeira Alves, M.; Messelink, G.J.; Desneux, N. Natural enemy-mediated indirect interactions among prey species: Potential for enhancing biocontrol services in agroecosystems. Pest Manag. Sci. 2014, 70, 1769–1779. [Google Scholar] [CrossRef]
  52. Lorusso, N.S.; Faillace, C.A. Indirect facilitation between prey promotes asymmetric apparent competition. J. Anim. Ecol. 2022, 91, 1869–1879. [Google Scholar] [CrossRef]
  53. Wootton, J.T. The nature and consequences of indirect effects in ecological communities. Annu. Rev. Ecol. Syst. 1994, 25, 443–466. [Google Scholar] [CrossRef]
  54. Werner, E.E.; Peacor, S.D. A review of trait−mediated indirect interactions in ecological communities. Ecology 2003, 84, 1083–1100. [Google Scholar] [CrossRef] [Green Version]
  55. Han, P.; Becker, C.; Le Bot, J.; Larbat, R.; Lavoir, A.V.; Desneux, N. Plant nutrient supply alters the magnitude of indirect interactions between insect herbivores: From foliar chemistry to community dynamics. J. Ecol. 2020, 108, 1497–1510. [Google Scholar] [CrossRef]
  56. Yang, F.; Yao, Z.W.; Zhu, Y.L.; Wu, Y.K.; Liu, L.T.; Liu, B.; Desneux, N.; Lu, Y.H. A molecular detection approach for assessing wheat aphid-parasitoid food webs in northern China. Entomol. Gen. 2020, 40, 273–284. [Google Scholar] [CrossRef]
  57. Xiao, D.; Xu, Q.X.; Chen, X.; Du, X.Y.; Desneux, N.; Thomine, E.; Dai, H.J.; Harwood, J.D.; Wang, S. Development of a molecular gut-content identification system to identify aphids preyed upon by the natural enemy Coccinella septempunctata. Entomol. Gen. 2021, 4, 591–599. [Google Scholar] [CrossRef]
  58. Messelink, G.J.; van Maanen, R.; van Steenpaal, S.E.F.; Janssen, A. Biological control of thrips and whiteflies by a shared predator: Two pests are better than one. Biol. Control 2008, 44, 372–379. [Google Scholar] [CrossRef] [Green Version]
  59. Bompard, A.; Jaworski, C.C.; Bearez, P.; Desneux, N. Sharing a predator: Can an invasive alien pest affect the predation on a local pest? Popul. Ecol. 2013, 55, 433–440. [Google Scholar] [CrossRef]
  60. Jaworski, C.C.; Bompard, A.; Genies, L.; Amiens-Desneux, E.; Desneux, N. Preference and prey switching in a generalist predator attacking local and invasive alien pests. PLoS ONE 2013, 8, e82231. [Google Scholar] [CrossRef]
  61. Wang, J.; Li, S.; Fang, Y.; Zhang, F.; Jin, Z.Y.; Desneux, N.; Wang, S. Enhanced and sustainable control of Myzus persicae by repellent plants in organic pepper and eggplant greenhouses. Pest Manag. Sci. 2022, 78, 428–437. [Google Scholar] [CrossRef]
  62. Mohammed, A.A.; Desneux, N.; Fan, Y.; Han, P.; Ali, A.; Song, D.; Gao, X. Impact of imidacloprid and natural enemies on cereal aphids: Integration or ecosystem service disruption? Entomol. Gen. 2018, 37, 47–61. [Google Scholar] [CrossRef] [Green Version]
  63. Varikou, K.; Garantonakis, N.; Birouraki, A. Exposure of Bombus terrestris L. to three different active ingredients and two application methods for olive pest control. Entomol. Gen. 2019, 39, 53–60. [Google Scholar] [CrossRef]
  64. Xiao, D.; Zhao, J.; Guo, X.; Chen, H.; Qu, M.; Zhai, W.; Desneux, N.; Biondi, A.; Zhang, F.; Wang, S. Sublethal effects of imidacloprid on the predatory seven-spot ladybird beetle Coccinella septempunctata. Ecotoxicology 2016, 25, 1782–1793. [Google Scholar] [CrossRef] [PubMed]
  65. Taning, C.N.T.; Vanommeslaeghe, A.; Smagghe, G. With or without foraging for food, field-realistic concentrations of sulfoxaflor are equally toxic to bumblebees (Bombus terrestris). Entomol. Gen. 2019, 39, 151–155. [Google Scholar] [CrossRef]
  66. Desneux, N.; Decourtye, A.; Delpuech, J.M. The sublethal effects of pesticides on beneficial arthropods. Annu. Rev. Entomol. 2007, 52, 81–106. [Google Scholar] [CrossRef]
Agronomy 12 03134 g001 550
Figure 1. A schematic illustration of the indirect interactions existing between species in the Coccinella septempunctata–Megoura japonica–Vicia faba banker plant system. Solid arrows indicate the trophic relations among host plants, preys, and the predator; dotted arrows show the indirect interaction between the numbers of the alternative prey Me. japonica and the target pest Myzus persicae, mediated by the shared predator C. septempunctata.
Figure 1. A schematic illustration of the indirect interactions existing between species in the Coccinella septempunctata–Megoura japonica–Vicia faba banker plant system. Solid arrows indicate the trophic relations among host plants, preys, and the predator; dotted arrows show the indirect interaction between the numbers of the alternative prey Me. japonica and the target pest Myzus persicae, mediated by the shared predator C. septempunctata.
Agronomy 12 03134 g001
Agronomy 12 03134 g002 550
Figure 2. Myzus persicae (A) and Megoura japonica (B) numbers at different times after the release of Coccinella septempunctata with different release intervals. Different lowercase letters within the same sampling date indicate significant differences (p < 0.05).
Figure 2. Myzus persicae (A) and Megoura japonica (B) numbers at different times after the release of Coccinella septempunctata with different release intervals. Different lowercase letters within the same sampling date indicate significant differences (p < 0.05).
Agronomy 12 03134 g002
Agronomy 12 03134 g003 550
Figure 3. The relationship between Myzus persicae and Megoura japonica under different initial ratios on the 1st (A), 3rd (B), 6th (C), and 9th day (D). My. p represents My. persicae, and Me. j represents Me. japonica.
Figure 3. The relationship between Myzus persicae and Megoura japonica under different initial ratios on the 1st (A), 3rd (B), 6th (C), and 9th day (D). My. p represents My. persicae, and Me. j represents Me. japonica.
Agronomy 12 03134 g003
Agronomy 12 03134 g004 550
Figure 4. The population dynamics of Myzus persicae (A) and Megoura japonica (B) at different initial ratios. My. p represents My. persicae, and Me. j represents Me. japonica.
Figure 4. The population dynamics of Myzus persicae (A) and Megoura japonica (B) at different initial ratios. My. p represents My. persicae, and Me. j represents Me. japonica.
Agronomy 12 03134 g004
Agronomy 12 03134 g005 550
Figure 5. Net growth dynamics of Myzus persicae populations seedlings infested with pepper plants with My. persicae and Megoura japonica at different initial ratios. Different lowercase letters within the same sampling date indicate significant differences (p < 0.05).
Figure 5. Net growth dynamics of Myzus persicae populations seedlings infested with pepper plants with My. persicae and Megoura japonica at different initial ratios. Different lowercase letters within the same sampling date indicate significant differences (p < 0.05).
Agronomy 12 03134 g005
Agronomy 12 03134 g006 550
Figure 6. (A) Myzus persicae population in presence of Megoura japonica different initial numbers at different times (initial numbers of My. persicae: 100 aphids/plant). (B) Principal component analysis performed on the experimental day (t), initial numbers of Me. japonica (Me. j0), relative numbers of Me. japonica (Me. jt), relative numbers of My. persicae (My. pt), and the ratio of My. persicae/Me. japonica (My. pt/Me. jt). Different lowercase letters within the same sampling date indicate significant differences (p < 0.05).
Figure 6. (A) Myzus persicae population in presence of Megoura japonica different initial numbers at different times (initial numbers of My. persicae: 100 aphids/plant). (B) Principal component analysis performed on the experimental day (t), initial numbers of Me. japonica (Me. j0), relative numbers of Me. japonica (Me. jt), relative numbers of My. persicae (My. pt), and the ratio of My. persicae/Me. japonica (My. pt/Me. jt). Different lowercase letters within the same sampling date indicate significant differences (p < 0.05).
Agronomy 12 03134 g006
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Yang, Y.; Wang, J.; Mi, Y.; Gu, J.; Benelli, G.; Desneux, N.; Wang, S.; Li, S.; Yue, Y. Ladybird-Mediated Indirect Interactions between Two Aphid Species When Using a Banker Plant System. Agronomy 2022, 12, 3134. https://doi.org/10.3390/agronomy12123134

AMA Style

Yang Y, Wang J, Mi Y, Gu J, Benelli G, Desneux N, Wang S, Li S, Yue Y. Ladybird-Mediated Indirect Interactions between Two Aphid Species When Using a Banker Plant System. Agronomy. 2022; 12(12):3134. https://doi.org/10.3390/agronomy12123134

Chicago/Turabian Style

Yang, Yajie, Jie Wang, Yingying Mi, Junjie Gu, Giovanni Benelli, Nicolas Desneux, Su Wang, Shu Li, and Yanli Yue. 2022. "Ladybird-Mediated Indirect Interactions between Two Aphid Species When Using a Banker Plant System" Agronomy 12, no. 12: 3134. https://doi.org/10.3390/agronomy12123134

APA Style

Yang, Y., Wang, J., Mi, Y., Gu, J., Benelli, G., Desneux, N., Wang, S., Li, S., & Yue, Y. (2022). Ladybird-Mediated Indirect Interactions between Two Aphid Species When Using a Banker Plant System. Agronomy, 12(12), 3134. https://doi.org/10.3390/agronomy12123134

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop