Evidence map›Paper›PMID 40587097›Full record

ArticleBiology open2025

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

Lorenzo Corsico, Thibault P M Costaz, Jolanda Tom, Martin Verbeek, Aria Samimi, Klaas van Rozen

Abstract read
In one paragraph

Article in Biology open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lorenzo CorsicoInsectSense, Plus Ultra-II Building, Bronland 10, 6708 WH Wageningen, The Netherlands.ORCID 0009-0005-5580-5433
Thibault P M CostazWageningen University & Research, Business Unit Field Crops, Edelhertweg 1, 8219 PH Lelystad, The Netherlands.ORCID 0000-0003-4721-5060
Jolanda TomWageningen University and Research, Business Unit Biointeractions and Plant Health, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands.
Martin VerbeekWageningen University and Research, Business Unit Biointeractions and Plant Health, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands.ORCID 0000-0002-8973-3803
Aria SamimiInsectSense, Plus Ultra-II Building, Bronland 10, 6708 WH Wageningen, The Netherlands.
Klaas van RozenWageningen University & Research, Business Unit Field Crops, Edelhertweg 1, 8219 PH Lelystad, The Netherlands.ORCID 0009-0003-8818-1976

Funding

Ministerie van Landbouw, Natuur en Voedselkwaliteit KB-44-005-007Ministry of Agriculture, Fisheries, Food Security and Nature KB-44-005-007Wageningen University and Research
6 · The paper itself

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.

Indexed as

Plant DiseasesPotyvirusSmellSolanum tuberosumAnimalsBeesPlant LeavesApis mellifera (honeybees)Associative learningCrop healthDetectionPavlovian protocolPotato virus Y

Identifiers

PMID40587097
PMCPMC12486206

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.