EVALUATION OF THREE ENTOMOPATHOGENIC NEMATODES (STEINERNEMATIDAE)“FOR THE CONTROL OF THE MEDITERRANEAN CLIMBING CUTWORM , Spodoptera Iittoralis UNDER LABORATORY AND GREENHOUSE CONDITIONS
Bibliographic record
Abstract
The virulence and invading efficiencyof three Steinernema nematode species on the last larval instar of Spodoptera littoraiis (Boisd.) as well as, average number of damaged leaves and consumed leaf area were investigated in laboratory and greenhouse experiments... The results proved that the indigenous, Mediterranean species, Steinernema. apuliae, at 5003nd 1500 lfpot was the most virulent species in . laboratory and greenhouse experiments respectively. It also showed significantly higher invading efficiency than did other nematode species. except that when used at a high concentration of 2700 lJpot. In green house. in the greenhouse. The numbers of adult nematodes found in the cadavers of S. littoraiis larvae were significantly different among nematode species at 500 lidish in the laboratory and 1500 lipot concentration in the greenhouse The number of adult females found in the cadavers of this insect larvae was always higher than the number of males. Foliage application of S. apuiiae resulted in a significant reduction in the number of damaged leaves and revealed a lower index of damage as compared with that in the control As conclusion, 8. apuiiae has significant the capability of controlling potentiality in the management of the Mediterranean climbing cutworm SJii‘toraiis in Egyptian and European greenhouses.
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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".