JOURNAL ARTICLE
Colony identity clues for Syntermes grandis (Blattodea: Termitidae) individuals using near-infrared spectroscopy and PLS-DA approach.
Published In: Environmental Entomology, 2024, v. 53, n. 4. P. 561 1 of 3
Database: Environment Complete 2 of 3
Authored By: Santos, Alexandre dos; Santos, Isabel Carolina Lima dos; Mendonça, Paula Maria de Souza; Santos, Juliana Cristina dos; Zanuncio, Antonio José Vinha; Zanuncio, José Cola; Zanetti, Ronald 3 of 3
Abstract
This article focuses on using near-infrared spectroscopy (NIRS) combined with partial least squares discriminant analysis (PLS-DA) to accurately identify the colonial origin of Syntermes grandis termites, a subterranean species found in South America. By analyzing spectral absorbance data from workers and soldiers of six mapped colonies, the study achieved classification accuracies of 99.9% for workers and 98.3% for soldiers. The results demonstrate that NIRS is a rapid, nondestructive, and cost-effective method to distinguish termite colonies based on cuticular hydrocarbon profiles without requiring molecular identification. This approach has potential applications in ecological research on termite territoriality and foraging behavior, as well as in pest management strategies for related subterranean termite species.
Additional Information
- Source:Environmental Entomology. 2024/08, Vol. 53, Issue 4, p561
- Document Type:Article
- Subject Area:Zoology
- Publication Date:2024
- ISSN:0046-225X
- DOI:10.1093/ee/nvae037
- Accession Number:179110826
- Copyright Statement:Copyright of Environmental Entomology 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.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.