Effect of Natural Enemy (Chrysoperla carnea Stephens) against Sucking Insect Pests of Okra
Bibliographic record
Abstract
An experiment effect of natural enemy (Chrysoperla carnea Stephens.) against sucking insect pests of Okra was carried out at Latif Farm, Sindh Agriculture University, Tando Jam during 2014.The results showed that overall maximum mean population of jassids (1009.5 ± 78.12/plant) was recorded in pre-treatment treated plot followed by thrips (706.17 ± 34.26/plant), mites (572.5± 33.00/plant) and whiteflies (209.83 ± 19.76/plant) respectively. Whereas, the overall maximum mean population of jassids (1322.44 ± 8.6/plant6) was recorded in pre-treatment control plot, followed by thrips (828.05 ± 6.77/plant), mites (640.55 ± 5.95/plant) and whiteflies (267.38 ± 4.74/plant) respectively. However, the overall maximum mean of jassids (434.27 ± 4.91/plant) were recorded in post-treatment control plot, followed by thrips (278.11 ± 3.93/plant), mites (134.11 ± 2.63/plant) and whiteflies (18.83 ± 0.99/plant), respectively. The results further revealed that the statistical analysis of data through paired T-test between treated and control plot of jassids, whiteflies, thrips and mites showed significantly different at (P<0.05) level. Whereas, the statistical analysis of data through paired T-test between pre-treatment and post-treatment of jassids, whiteflies, thrips and mites also showed significantly different at (P <0.05) level.
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How this classification was reachedexpand
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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".