Impact of Different Oils as Biopesticide against Sucking Insect Pests in Cotton
Bibliographic record
Abstract
The study was conducted to evaluate the effect of various botanical products on population of sucking complex on cotton crop. The study was conducted at the experimental area of Entomology section, Agriculture Research Institute, Tando Jam during the Kharif Season-2004. Five bio-pesticides i.e. neem oil (500ml/acre), cooking oil (750 ml/acre), linseed oil (750ml/acre), hing (290gm/acre) and cotton oil (750ml/acre) were applied twice against sucking complex (jassid, thrip and whitefly) and compared with an untreated control. It was observed that the efficacy of different bio-pesticides against sucking complex (jassid, whitefly and thrips) varied significantly. All products reduced pest population during both sprays. On an average, neem oil (63.27%) and cotton oil (62.01%) were found to be superior in reducing sucking pest, followed by hing (58.25%), cooking oil (57.18%) and linseed oil (55.24%) respectively.
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 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 | 0.001 | 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".