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Temporal snapshot of parasitoid wasp communities on three flowering plant species and implications for the rosy apple aphid regulation (Dysaphis plantaginea) in apple orchards

Abstract


Parasitoid wasps contribute to biological control services. Parasitoid adults are highly dependent on sugar-rich resources. Adding flowering plants providing nectar in crop fields promotes parasitoid wasps, but not always pest parasitism because addition of flowering plants may attract parasitoid species that are not directly involved in the control of crop pests.


In a factorial experiment conducted for one year in pesticide-free orchards, we analysed the effects of three common plant species (Capsella bursa-pastoris Medik., Veronica persica Poir. and Vicia sativa L.) in association with apple trees on parasitoid wasp recruitment and parasitism of one major apple pest, Dysaphis plantaginea (Passerini). We combined morphological and molecular identifications to characterize the parasitoid communities associated with each plant species.


Parasitoid communities were different between plant species. Plant effects on the abundance of the parasitoid wasps did not depend on the amount of floral resources provided by the tested plants. Over the whole season, the parasitoid wasp species Ephedrus persicae (Froggatt) and Aphidius matricariae (Haliday) involved in D. plantaginea parasitism accounted for 6% of the total parasitoid abundance and were mainly associated with V. persica plots. We observed a higher parasitism rate in apple trees associated with V. persica and a lower number of aphid colonies in apple trees associated with V. sativa. However, plant treatments had no effect on the abundance of D. plantaginea or on generalist predators and ant occurrences in aphid colonies. As a result, the three plants tested had a limited impact on the rosy apple aphid (RAA) regulation overall.


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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.

This work also received funding from UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding Guarantee, grant number 10091427.

This work was supported by the Government of Canada through the Genomic Applications Partnership Program (GAPP) (OGI-229).

Project coordination

Prof. John Vontas

vontas@imbb.forth.gr

Foundation for Research and Technology-Hellas (FORTH)

Project communication

MSc Angeliki Milioti

angeliki@smartagrohub.gr

Smart Agro Hub

Project Framework

This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement 101136611. Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.

This work also received funding from UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding Guarantee, grant number 10091427.

This work was also supported by the Government of Canada through the Genomic Applications Partnership Program (GAPP) (OGI-229).

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