PLOS
open access
CC BY 4.0
Soda-baited RNAi yeast insecticides as effective Attractive Targeted Sugar Baits (ATSBs) for mosquito control
Background: Attractive Targeted Sugar Baits (ATSBs) are a promising, environmentally friendly approach for mosquito control, but the direct field application, scalability and long-term effectiveness of ATSBs across diverse mosquito species remain significant challenges. Methodology/Principal finding
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Phenotypic and ace-1–mediated insecticide resistance in Aedes mosquitoes in Enugu North Senatorial Zone, Nigeria: Résistance phénotypique et résistance aux insecticides médiée par ace-1 chez les moustiques Aedes dans la zone sénatoriale nord d'Enugu, au Nigéria#1149024
- DAYA TOLAK INFUSA DAUN PANDAN WANGI (Pandanus amaryllifolius Roxb.) TERHADAP PELETAKAN TELUR NYAMUK Aedes spp#932728
- Modelling the evolutionary dynamics of insecticide quantitative resistance in mosquito populations#231710
- Application, ecotoxicology and regulation of insecticides with special reference to neonicotinoids#253492
- Agency Information Collection Activities; Submission to the Office of Management and Budget for Review and Approval; Comment Request; Pesticide Data Call-Ins (Renewal)#512436
Record · ID 1040230
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive