Evidence map›Paper›PMID 41843041›Full record

ArticleJournal of chemical ecology2026

Influence of Conspecific Male Odour and Host Kairomones on the Behaviour of Sternochetus mangiferae, a Pest of Mangoes in Brazil and Ghana.

Miguel Borges, Mirian F F Michereff, Raúl A Laumann, József Vuts, Marla J Hassemer, João Victor C Machado, Michely F S Aquino, Kamila K S Leite, Alessandra de Carvalho Silva, Marcelo P Ricalde and 3 more

Abstract read
In one paragraph

Article in Journal of chemical ecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Miguel BorgesEmbrapa Genetic Resources and Biotechnology, Laboratory of Semiochemicals, Brasilia, DF, Brazil.ORCID http://orcid.org/0000-0003-3364-9677
Mirian F F MichereffEmbrapa Genetic Resources and Biotechnology, Laboratory of Semiochemicals, Brasilia, DF, Brazil.ORCID http://orcid.org/0000-0002-0032-7746
Raúl A LaumannEmbrapa Genetic Resources and Biotechnology, Laboratory of Semiochemicals, Brasilia, DF, Brazil.ORCID http://orcid.org/0000-0003-3531-2613
József VutsProtecting Crops and the Environment, Rothamsted Research, Harpenden, Herts, AL5 2JQ, UK.ORCID http://orcid.org/0000-0001-6240-0905
Marla J HassemerEmbrapa Genetic Resources and Biotechnology, Laboratory of Semiochemicals, Brasilia, DF, Brazil.ORCID http://orcid.org/0000-0002-5634-115X
João Victor C MachadoEmbrapa Genetic Resources and Biotechnology, Laboratory of Semiochemicals, Brasilia, DF, Brazil.
Michely F S AquinoEmbrapa Genetic Resources and Biotechnology, Laboratory of Semiochemicals, Brasilia, DF, Brazil.
Kamila K S LeiteEmbrapa Genetic Resources and Biotechnology, Laboratory of Semiochemicals, Brasilia, DF, Brazil.
Alessandra de Carvalho SilvaEmbrapa Agrobiologia, Seropédica, RJ, Brazil.ORCID http://orcid.org/0000-0003-0141-0098
Marcelo P RicaldeEmbrapa Agrobiologia, Seropédica, RJ, Brazil.
Haruna BraimahCSIR-Crops Research Institute, Kumasi, Ghana.
Michael A BirkettProtecting Crops and the Environment, Rothamsted Research, Harpenden, Herts, AL5 2JQ, UK.ORCID http://orcid.org/0000-0002-3302-2025
Maria Carolina Blassioli-MoraesEmbrapa Genetic Resources and Biotechnology, Laboratory of Semiochemicals, Brasilia, DF, Brazil. carolina.blassioli@embrapa.br.ORCID http://orcid.org/0000-0001-7569-9985

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sternochetus mangiferae is a pest of mangoes, occurring worldwide in regions where mangoes are cultivated. In Brazil, this insect was first detected in 2014 in Seropédica, Rio de Janeiro, and since then, various measures and studies have been conducted to contain, monitor and potentially eradicate it. Semiochemicals may provide feasible targets to develop sensitive detection and monitoring tools. Therefore, this study aimed to evaluate whether S. mangiferae use pheromones from conspecifics and kairomones from mango tree host in their chemical communication. The findings identify a blend of mango volatiles that influence the behaviour of S. mangiferae females. A synthetic blend containing the EAD-active compounds γ-butyrolactone, benzaldehyde, 6-methyl-5-hepten-2-one, myrcene, (Z)-ocimene, 2-methoxyphenol, (S)-linalool, methyl salicylate and methyl benzoate was attractive to females of S. mangiferae from Ghanaian and Brazilian populations in two-choice olfactometry experiments. The results also indicate that the absolute configuration of linalool in the mango synthetic blend is crucial for female attraction, as females respond only to blends containing (S)-linalool. Furthermore, females from both populations were attracted to the odour of live males from their respective localities. Chemical analysis of aeration samples from the Brazilian population revealed that males and females emitted qualitatively similar volatile profiles. Although no male-specific compounds could be identified to fully explain female attraction, this study provides the first evidence of intraspecific chemical communication in S. mangiferae. These findings advance our understanding of the chemical ecology of this pest and support the development of semiochemical-based monitoring and management strategies for mango orchards.

Indexed as

MangiferaOdorantsPheromonesWeevilsAcyclic MonoterpenesAnimalsBehavior, AnimalBrazilFemaleGhanaMaleOlfactometrySalicylatesVolatile Organic CompoundsAcyclic Monoterpeneslinaloolmethyl salicylatePheromonesSalicylatesVolatile Organic CompoundsBehavioural responseMango weevilPheromonePlant volatiles

Identifiers

PMID41843041
PMCPMC12995999

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.