Evidence map›Paper›PMID 42334502›Full record

ArticleJournal of chemical ecology2026

Synergistic Effects of Maize Volatiles on Pheromone Trap Captures of the Fall armyworm, Spodoptera frugiperda (Lepidoptera: Noctuidae).

Fida Hussain Magsi, Amees Ullah, Yihui Ma, Guoping Li, Jianrong Huang, Muhammad Sohaib, Songke Li, Xincheng Zhao, Hongqiang Feng

Abstract read
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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. 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

9 authors.

Fida Hussain MagsiInstitute of Plant Protection, Henan Key Laboratory of Agricultural Pest Monitoring and Control, Entomological Radar Field Scientific Observation and Research Station of Henan Province, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China.
Amees UllahInstitute of Plant Protection, Henan Key Laboratory of Agricultural Pest Monitoring and Control, Entomological Radar Field Scientific Observation and Research Station of Henan Province, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China.
Yihui MaInstitute of Plant Protection, Henan Key Laboratory of Agricultural Pest Monitoring and Control, Entomological Radar Field Scientific Observation and Research Station of Henan Province, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China.
Guoping LiInstitute of Plant Protection, Henan Key Laboratory of Agricultural Pest Monitoring and Control, Entomological Radar Field Scientific Observation and Research Station of Henan Province, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China.
Jianrong HuangInstitute of Plant Protection, Henan Key Laboratory of Agricultural Pest Monitoring and Control, Entomological Radar Field Scientific Observation and Research Station of Henan Province, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China.
Muhammad SohaibInstitute of Plant Protection, Henan Key Laboratory of Agricultural Pest Monitoring and Control, Entomological Radar Field Scientific Observation and Research Station of Henan Province, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China.
Songke LiXinxiang Base, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Xinxiang, 453000, China.
Xincheng ZhaoCollege of plant protection, Henan Agricultural University, Zhengzhou, 450046, China.
Hongqiang FengInstitute of Plant Protection, Henan Key Laboratory of Agricultural Pest Monitoring and Control, Entomological Radar Field Scientific Observation and Research Station of Henan Province, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China. fenghongqiang@msn.com.

Funding

Henan Academy of Agricultural Sciences and Technology Innovation Team 2024TD30Henan Academy of Agricultural Sciences "Elite Innovation Leader" Talent Project 2026RC01Self-Innovation Project Plan Document of Henan Academy of Agricultural Sciences 2025ZC50
6 · The paper itself

Abstract

Fall armyworm (Spodoptera frugiperda) has emerged as a major pest of maize across the Americas, Africa and Asia. Current management relies heavily on synthetic insecticides, which are environmentally unsustainable. However, pheromone-based monitoring, a sustainable and highly promising alternative, often shows variable field efficacy, highlighting the need to identify host plant volatiles that can enhance pheromone-mediated attraction. In this study, we demonstrate that specific maize-derived volatiles play a key role in influencing male behavioral responses. Among the identified compounds, benzaldehyde, myrcene, (Z)-3-hexenyl acetate, nonanal, and ocimene elicited male antennal responses. In laboratory bio-assays, benzaldehyde, (Z)-3-hexenyl acetate, and nonanal induced significantly higher male preference. Field application of ternary pheromone blend consisting of (Z)-9-tetradecenyl acetate, (Z)-7-dodecenyl acetate, and (Z)-11-hexadecenyl acetate at (0.88, 0.01, and 0.11 mg, respectively), supplemented with benzaldehyde and nonanal (0.1 and 0.2 mg, respectively), or nonanal alone at 0.2 mg, significantly enhanced trap captures. In contrast, (Z)-3-hexenyl acetate did not alter trap efficacy, whereas higher doses of either volatile reduced trap captures. These findings provide evidence that host plant volatiles particularly nonanal, and benzaldehyde can synergize with sex pheromone compounds of S. frugiperda, offering a promising strategy to improve semiochemical-based monitoring and integrated pest management.

Indexed as

Sex AttractantsSpodopteraVolatile Organic CompoundsZea maysAnimalsBenzaldehydesMalebenzaldehydeBenzaldehydesSex AttractantsVolatile Organic CompoundsFall armywormHost plant volatilesMaizeSex pheromoneSynergism

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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.