Enhanced-Efficacy Iranian Diatomaceous Earth for Controlling Two Stored-Product Insect Pests
Bibliographic record
Abstract
The present study was conducted to evaluate the insecticidal activity of three diatomaceous earth (DE) products, SilicoSec (Biofa GmbH, Munsingen, Germany), Protect-It (Hedley Technologies Inc., Canada), and Mamaghan. The silica aerogel was mixed to enhance the efficacy of Mamaghan DE with 10, 15, and 20% rates. The DE products were applied at treatment rates of 100, 200, and 400 ppm against adults of Tribolium confusum Jacquelin du Val. (Coleoptera: Tenebrionidae) and Rhyzopertha dominica (F.) (Coleoptera: Bostrichidae). In the second experiment, 0.1 and 0.5% deltamethrin was added to Mamaghan DE-10% silica aerogel to enhance the activity of the DE. Adult mortality was recorded 2, 5, 7, 10, and 14 d after exposure. Parental adults were removed after 14-d exposure time and progeny developed was evaluated after 65 d. Mamaghan-15 and 20% silica aerogel caused the highest mortality (>97%) against T. confusum after 10 d of exposure at the highest dose of 400 ppm which exceeded to 100% mortality after 14 d. However, the toxicity of Mamaghan DE against R. dominica was lower than that of the two commercial formulations at all dose rates. The presence of 0.1% deltamethrin increased the insecticidal activity of Mamaghan DE and significantly suppressed progeny production of both species. Even at the lowest dose of Mamaghan-10% + 0.1% deltamethrin, progeny production of both species was very low (four or less individuals per vial). However, no progeny was recorded in Mamaghan-10% + 0.5% deltamethrin. Thus, adding low rates of silica aerogel and deltamethrin considerably enhanced the efficacy of Mamaghan DE in controlling T. confusum and R. dominica.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".