JOURNAL ARTICLE

Beyond wingbeats: dispersal capacity and morphophysiological determinants in Helicoverpa zea (Lepidoptera: Noctuidae).

  • Published In: Annals of the Entomological Society of America, 2024, v. 117, n. 6. P. 309 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Calixto, Eduardo S; Paula-Moraes, Silvana V; Reisig, Dominic D; Santos, Abraão A; Reay-Jones, Francis P F 3 of 3

Abstract

This article investigates the flight capacity and morphophysiological factors influencing the dispersal of Helicoverpa zea (Boddie) (Lepidoptera: Noctuidae), a polyphagous agricultural pest known for its long-range dispersal and potential to spread insecticide resistance. Using tethered flight mill experiments on a field-derived population, the study assessed the effects of age, sex, and mating status on flight performance, finding that mating status and the number of mature eggs did not affect flight capacity, indicating no oogenesis-flight syndrome and supporting facultative migration. Middle-aged moths and males exhibited higher flight speeds and longer distances than young or old moths and females, respectively, while morphological traits such as body size and wing-to-thorax ratio negatively influenced flight duration and distance. These findings provide important insights for Integrated Pest Management (IPM) and Insect Resistance Management (IRM) by improving predictions of H. zea dispersal and the spread of resistance genes in agricultural landscapes.

Additional Information

  • Source:Annals of the Entomological Society of America. 2024/11, Vol. 117, Issue 6, p309
  • Document Type:Article
  • Subject Area:Agriculture and Agribusiness
  • Publication Date:2024
  • ISSN:0013-8746
  • DOI:10.1093/aesa/saae025
  • Accession Number:181470239
  • Copyright Statement:Copyright of Annals of the Entomological Society of America is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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