Behavioral Manipulation for Pest Control (2024)

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Insects

Volume 12

Issue 4

10.3390/insects12040287

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Editorial

by

Valerio Mazzoni

Valerio Mazzoni

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1,*Behavioral Manipulation for Pest Control (6) and

Gianfranco Anfora

Gianfranco Anfora

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2,*Behavioral Manipulation for Pest Control (9)

1

Fondazione Edmund Mach, Research and Innovation Centre, 38010 San Michele all’Adige, TN, Italy

2

Center for Agriculture, Food, Environment (C3A), University of Trento, 38100 San Michele all’Adige, TN, Italy

*

Authors to whom correspondence should be addressed.

Insects 2021, 12(4), 287; https://doi.org/10.3390/insects12040287

Submission received: 19 March 2021/Revised: 23 March 2021/Accepted: 24 March 2021/Published: 26 March 2021

(This article belongs to the Special Issue Behavioral Manipulation for Pest Control)

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    Pest control is moving towards a dramatic reduction in pesticide-based approaches in favor of more eco-friendly strategies characterized by the promotion of ecological intensification of agriculture and reduction of human inputs (especially pesticides) [1,2]. Behavioral manipulation is perfectly suitable to assist in these tasks, since it is based on communication disruption techniques aimed at interfering with the common habits of the principal pests in order to minimize their negative impacts on crop production [3]. Nowadays, the use of semiochemicals (i.e., pheromones and allelochemicals) is a consolidated practice, used worldwide on many different crop systems; on the other hand, semiophysicals (i.e., substrate-borne vibrational signals) are emerging as a new technology, which is quickly gaining considerable interest in both producers and industries with business in crop protection [4].

    Behavioral manipulation for pest control involves the use of natural and/or artificial signals, such as pheromones, kairomones, sounds and vibrations, to interfere with fundamental behaviors, such as feeding and mating [5,6]. These techniques fit well with the concept of a multidisciplinary approach and allow a strong and synergic interaction between apparently distant disciplines such as biology, ecology, mechanics, chemistry and informatics. In this context, the current Special Issue will consider the following topics:

    • Kairomone-based lures to attract noxious insects into traps.

    Traps are no longer passive and time-consuming tools that must be checked periodically by specialized personnel; rather, they are being replaced by smart-tech devices. Integrated cameras and sensors now deliver considerable amounts of data in real time, 24 h a day. Thanks to camera lenses, which can achieve high sensitivity, even minuscule species such as thrips can be feasible targets [7].

    The development of new and improved blends is a crucial aspect through which to maximize trap efficiency. In particular, bioactive volatiles, produced by bacteria that work as bio-catalyzers, are powerful synergists to kairomone-based baits. An example of this is the lactic acid bacterium, Oenococcus oeni, which significantly improves the attractiveness of commercial food baits of the Spotted Wing Drosophila, Drosophila suzukii [8,9].

    • Pheromone traps to estimate pest population density.

    The lack of exact correspondence between the number of captured individuals and the actual population size of a pest has long been an important limitation in the use of pheromone traps in monitoring programs within IPM strategies. Mathematic models can provide a solution to this issue by estimating the probability of a localized infestation through the number of trap captures, as in the case of the Gypsy Moth, Lymantria dispar. By designing suitable monitoring grids, it would be possible to fill this gap and to provide crucial information for decision-making [10].

    • Vibrational signals as a tool for mating disruption.

    The playback of rivalry signals is a perfect example of a species-specific approach to pest control with a null impact on the environment. Insects such as stinkbugs, which communicate at medium and short range with vibrational signals, rely on the perception of co-specific substrate-borne signals to identify and locate a potential partner. By introducing disruptive signals, which mimic natural stinkbug female rivalry signals, into the host plants, it is possible to affect the pair formation process and thus to prevent mating [11].

    The playback of specific and generic signals (i.e., white noise, music) can also affect the mating behavior of insects. In the case of the potato psylla, Bactericera co*ckerelli, a vector of zebra chip disease, the playback of conspecific female calls to the host plant significantly decreased mating success, whereas the use of unspecific signals affected mate finding [12].

    Funding

    This research received no external funding.

    Conflicts of Interest

    The authors declare no conflict of interest.

    References

    1. Garibaldi, L.A.; Pérez-Méndez, N.; Garratt, M.P.; Gemmill-Herren, B.; Miguez, F.E.; Dicks, L.V. Policies for ecological intensification of crop production. Trends Ecol. Evol. 2019, 34, 282–286. [Google Scholar] [CrossRef] [PubMed] [Green Version]
    2. Beckman, J.; Ivanic, M.; Jelliffe, J.L.; Baquedano, F.G.; Scott, S.G. Economic and Food Security Impacts of Agricultural Input Reduction Under the European Union Green Deal’s Farm to Fork and Biodiversity Strategies; EB-30; U.S. Department of Agriculture, Economic Research Service: Washington, DC, USA, November 2020.
    3. Foster, S.P.; Harris, M.O. Behavioral manipulation methods for insect pest-management. Annu. Rev. Entomol. 1997, 42, 123–146. [Google Scholar] [CrossRef] [PubMed] [Green Version]
    4. Nieri, R.; Anfora, G.; Mazzoni, V.; Rossi Stacconi, M.V. Semiochemicals, semiophysicals and their integration for the development of innovative multi-modal systems for agricultural pests’ monitoring and control. Special issue “Novel trends on semiochemicals for insect science and managements”. Entomol. Gen. 2021, in press. [Google Scholar]
    5. Čokl, A.A.; Millar, J.G. Manipulation of insect signaling for monitoring and control of pest insects. In Biorational Control of Arthropod Pests; Springer: Dordrecht, The Netherland, 2009; pp. 279–316. [Google Scholar]
    6. Agarwal, M.L.; Sunil, V. Basic behavioural patterns in insects and applications of behavioural manipulation in insect pest management. J. Entomol. Zool. Stud. 2020, 8, 991–996. [Google Scholar]
    7. Suckling, D.M.; Stanbury, M.E.; Lennon, O.; Colhoun, K.M.; Chinellato, F.; El-Sayed, A.M. Kairomone and Camera Trapping New Zealand Flower Thrips, Thrips Obscuratus. Insects 2020, 11, 622. [Google Scholar] [CrossRef] [PubMed]
    8. Alawamleh, A.; Ðurović, G.; Maddalena, G.; Guzzon, R.; Ganassi, S.; Hashmi, M.M.; Wäckers, F.; Anfora, G.; de Cristofaro, A. Selection of Lactic Acid Bacteria Species and Strains for Efficient Trapping of Drosophila suzukii. Insects 2021, 12, 153. [Google Scholar] [CrossRef] [PubMed]
    9. Ðurović, G.; Alawamleh, A.; Carlin, S.; Maddalena, G.; Guzzon, R.; Mazzoni, V.; Dalton, D.T.; Walton, V.M.; Suckling, D.M.; Butler, R.C.; et al. Liquid Baits with Oenococcus oeni Increase Captures of Drosophila suzukii. Insects 2021, 12, 66. [Google Scholar] [CrossRef] [PubMed]
    10. Onufrieva, K.S.; Onufriev, A.V.; Hickman, A.D.; Miller, J.R. Bounds on Absolute Gypsy Moth (Lymantria dispar dispar) (Lepidoptera: Erebidae) Population Density as Derived from Counts in Single Milk Carton Traps. Insects 2020, 11, 673. [Google Scholar] [CrossRef] [PubMed]
    11. Dias, A.M.; Borges, M.; Blassioli Moraes, M.C.; Lorran Figueira Coelho, M.; Čokl, A.; Laumann, R.A. Inhibitory Copulation Effect of Vibrational Rival Female Signals of Three Stink Bug Species as a Tool for Mating Disruption. Insects 2021, 12, 177. [Google Scholar] [CrossRef] [PubMed]
    12. Avosani, S.; Sullivan, T.E.; Ciolli, M.; Mazzoni, V.; Suckling, D.M. Can Vibrational Playbacks Disrupt Mating or Influence Other Relevant Behaviours in Bactericera co*ckerelli (Triozidae: Hemiptera)? Insects 2020, 11, 299. [Google Scholar] [CrossRef] [PubMed]

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    Mazzoni, V.; Anfora, G.Behavioral Manipulation for Pest Control. Insects 2021, 12, 287.https://doi.org/10.3390/insects12040287

    AMA Style

    Mazzoni V, Anfora G.Behavioral Manipulation for Pest Control. Insects. 2021; 12(4):287.https://doi.org/10.3390/insects12040287

    Chicago/Turabian Style

    Mazzoni, Valerio, and Gianfranco Anfora.2021. "Behavioral Manipulation for Pest Control" Insects 12, no. 4: 287.https://doi.org/10.3390/insects12040287

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

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    MDPI and ACS Style

    Mazzoni, V.; Anfora, G.Behavioral Manipulation for Pest Control. Insects 2021, 12, 287.https://doi.org/10.3390/insects12040287

    AMA Style

    Mazzoni V, Anfora G.Behavioral Manipulation for Pest Control. Insects. 2021; 12(4):287.https://doi.org/10.3390/insects12040287

    Chicago/Turabian Style

    Mazzoni, Valerio, and Gianfranco Anfora.2021. "Behavioral Manipulation for Pest Control" Insects 12, no. 4: 287.https://doi.org/10.3390/insects12040287

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

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