Targeting vacuolar ATPase in tobacco whitefly, <i>Bemisia tabaci</i> (Gennadius): Insights and implications for integrated whitefly management strategies.
Bibliographic record
Abstract
through feeding (via transgenic plants as well as root and foliar delivery of naked or formulated dsRNA) and non-feeding (spraying dsRNAs and recombinant entomopathogens) methods. This review considers the potential use of V-ATPase RNAi in combination with cultural/mechanical practices, biorational insecticides/ natural compounds, natural enemies, and biotechnological control strategies. These approaches are promising for integrated whitefly management (IWM) programs, and can potentially reduce excessive use of chemical pesticides and the likelihood of pesticide resistance. Despite their specificity and high efficiency, emerging resistance and the effects on non-target organisms remain concerns. Also, RNAi of different subunits could lead to various outcomes, and V-ATPase silencing may show dissimilar effects against various whitefly biotypes. Here, some challenges have been addressed with various solutions, e.g., appropriate formulations for protecting, carrying, and spreading dsRNAs, along with the use of strong promoters to optimize the effective dosage of the administered dsRNA molecules.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".