Novaluron: Prospects and Limitations in Insect Pest Management †
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Biorational insecticides are a valuable insect pest management option for growers and pest management practitioners. Novaluron is a recently developed benzoylphenyl urea insecticide with excellent activity against several important insect pests. Through inhibition of chitin synthesis, larval insect stages are targeted with death from abnormal endocuticular deposition and abortive molting. This physiological specificity lends novaluron well to integrated pest management (IPM)programs, as toxicity to mammals, birds and other vertebrates is low, and adult beneficial insects, including predators, parasitoids and pollinators, are generally unaffected. Foliar applications have demonstrated prolonged persistence, providing long-lasting control for growers, and the mode of action of novaluron, completely different from that of commonly used neurotoxic insecticides, makes it a useful alternative insecticide for resistance management. However, there are several obstacles, many inherent to IPM, which may hinder the utility of novaluron. While its narrow spectrum of activity is a key attribute, paradoxically this may be a significant detractor for growers who prefer broad-spectrum control of multiple pests. As an insect growth regulator, timing of novaluron applications is often more restrictive and delayed insecticidal activity usually occurs. The purchase price of benzoylphenyl ureas is generally greater than that of conventional insecticides, which may limit the appeal of novaluron. Further, studies have shown that some beneficial organisms are susceptible to novaluron. Knowledge reviewed here will facilitate continued development and use of biorational compounds for IPM.
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.
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 it