An ecological approach to honeybee olfactory conditioning: challenges and potential for the monitoring of potato virus Y infection

Potato (Solanum tuberosum L.) is a global crop with a vital role in food security and economic significance in many countries. Potato virus Y (PVY) is one of its major viral threats, causing severe yield and quality losses when not controlled properly. PVY spreads primarily through aphids and infected tubers, and current management relies on insecticides and protective oils. Novel detection methods are needed to identify infected plants accurately at an early stage of plant development, thus reducing pesticide use. Trained honeybees (Apis mellifera L.) can detect specific volatiles emitted by plants infected by viruses like PVY. Using associative conditioning and the proboscis extension reflex, we tested the capacity of harnessed worker bees to distinguish PVY-infected and healthy potato leaves as a first step towards field application. As a whole, the results were impeded by low response levels and no significant result was obtained. However, we were able to show the capability of honeybees to learn and differentiate between two conditioned stimuli (healthy potato leaves versus clean air). Our findings therefore suggest that honeybees, as a globally accessible resource, have the potential to be used as a cost-effective solution in crop health monitoring, with further investigation and protocol refinement needed to achieve accurate PVY detection in agricultural settings.

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Publication Details

Journal
Biology Open
Published
2025-06-30
DOI
https://doi.org/10.1242/bio.061680
Primary Topic
Insect and Pesticide Research
Type
article
Field-Weighted Citation Impact
0.00

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article

An ecological approach to honeybee olfactory conditioning: challenges and potential for the monitoring of potato virus Y infection

K. van Rozen, Jolanda Tom, M. Verbeek, Thibault Costaz et al.
Biology Open
Insect and Pesticide Research
article

An ecological approach to honeybee olfactory conditioning: challenges and potential for the monitoring of potato virus Y infection

K. van Rozen, Jolanda Tom, M. Verbeek, Thibault Costaz, Laura Corsico, Aria Samimi
article en

Abstract

Potato (Solanum tuberosum L.) is a global crop with a vital role in food security and economic significance in many countries. Potato virus Y (PVY) is one of its major viral threats, causing severe yield and quality losses when not controlled properly. PVY spreads primarily through aphids and infected tubers, and current management relies on insecticides and protective oils. Novel detection methods are needed to identify infected plants accurately at an early stage of plant development, thus reducing pesticide use. Trained honeybees (Apis mellifera L.) can detect specific volatiles emitted by plants infected by viruses like PVY. Using associative conditioning and the proboscis extension reflex, we tested the capacity of harnessed worker bees to distinguish PVY-infected and healthy potato leaves as a first step towards field application. As a whole, the results were impeded by low response levels and no significant result was obtained. However, we were able to show the capability of honeybees to learn and differentiate between two conditioned stimuli (healthy potato leaves versus clean air). Our findings therefore suggest that honeybees, as a globally accessible resource, have the potential to be used as a cost-effective solution in crop health monitoring, with further investigation and protocol refinement needed to achieve accurate PVY detection in agricultural settings.

Biology OpenVol. 14(9)
BioInteractions (United Kingdom) (GB), Agroscope (CH), Field Crops Research Institute (VN), Wageningen University & Research (NL)
Ministerie van Landbouw, Natuur en Voedselkwaliteit, Wageningen University and Research
Zero hunger
Openalex Percentile: Top 86%
Insect and Pesticide Research
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An ecological approach to honeybee olfactory conditioning: challenges and potential for the monitoring of potato virus Y infection — K. van Rozen, Jolanda Tom, et al. · Biology Open (2025) | TGRS Research Map | TGRS