RNAi-Mediated Whitefly Resistance in Cassava: Experimental Results and Modeling

More than US$1.25 billion in annual losses are caused by Cassava mosaic and brown streak diseases in East Africa, vectored by the whitefly Bemisia tabaci. This dataset, authored by Narayanan Narayanan and uploaded to figshare in 2026, describes the development of transgenic cassava lines using RNAi to target multiple insect metabolic processes. Results include insecticidal activity reaching 58% adult lethality within 7 days and 75-90% nymph lethality after 25 days.

Use Cases

• Training models to predict pest control efficacy based on RNAi target gene downregulation data.
• Analyzing the relationship between specific metabolic processes (osmoregulation, sugar metabolism) and insect mortality rates.
• Simulating population dynamics of whitefly pests under field conditions using the described modeling approach.

Strengths

• Experimental results include specific efficacy metrics, such as 58% adult lethality within 7 days.
• The research targets multiple insect metabolic processes, potentially indicating a multi-faceted approach to resistance.
• Dataset is openly licensed under CC-BY-4.0, facilitating reuse.

Limitations

• The dataset is a 29.9 KB DOCX file, suggesting limited raw data and a primary focus on textual results.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for quantitative analysis.

Provenance

Source

figshare, author Narayanan Narayanan.

Collection Method

Likely contains results from transcriptome analysis, transgenic plant generation, and whole plant bioassays as described.

Freshness

Last updated 2026-05-22 06:12:55; freshness should be verified.

Geography

Research context is East African cassava fields, though specific data collection geography is unspecified.