Sublethal Effects of Atropa belladonna Herbal Extract on Biological Performance of the Two-Spotted Spider Mite Tetranychus urticae Koch (Acari: Tetranychidae)
Bibliographic record
Abstract
The two-spotted spider mite, Tetranychus urticae Koch (Acari: Tetranychidae) is one of the most important pests of agricultural products. Using chemical pesticides is one of the main methods for its management. Due to undesirable effects of synthetic pesticides, this research was conducted to achieve alternative safe compounds. In this study sublethal effect of Atropa belladonna herbal extract including LC10, LC20, LC30 and distilled water were evaluated on biological parameters (such as r, λ, GRR, R0 and T) of T. urticae. The experiments were done under laboratory condition at 25±2 °C, 60±5% RH, and a photoperiod of 16:8 (L: D) hours. The crude data were analyzed based on age-stage, two-sex life table analysis. The results indicated significant reduction in female’s duration of maturation, oviposition period and total fecundity by increasing examined dose. The highest and lowest values of the net reproductive rate (R0) were obtained 38.41 and 18.08 offspring/individual in control and LC30, respectively. The maximum values of intrinsic rate of increase (r) was 0.2201 day-1that occurred on control treatment while the minimum values was obtained 0.1937 day-1 in LC30 concentration. Finite rate of increase (λ) had significantly descended with concentration enhancing from LC20 to LC30, compared with the control. The results demonstrated that Atropa belladonna herbal extract could be incorporated in integrated pest management (IPM) programs of T. urticae.
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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".