Efficacy of Different Organophosphate Pesticides against Jassid Feeding on Okra (Abelmoschus esculentus)
Bibliographic record
Abstract
Field studies were conducted for the determination of efficacy of different organophosphate pesticides viz Profenofos, Dimethoate , Acephate and Malathion against jassid (Amrasca devastans) feeding on okra crop. Seeds of okra crop were planted in randomized block design with 3 replicates. The pretreatment observations were recorded at 24 hour before spray, while, the post-treatment observations were taken after 1, 2, 3,4,5,6 and 7 days of treatment. The crop was sprayed four times repeatedly with 7 day interval during the experimental period. The results revealed that all of the tested pesticides reduced the population of Amrasca devastans except Profenofos. Though the Profenofos was unable to reduce the pest population but it was able to somewhat control the further proliferation of pest. In contrary Dimethoate was found as the most effective against the jassid with significant reduction in pest population against the control and other treatments.The results obtained from the research concluded that the organophosphate pesticides including Dimethoate, Acephate, and Malathion were found effective for controlling the jassid population feeding on okra but the low dose of pesticides including Profenfos were found ineffective.
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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".