Effects of Transplanting Dates and Insecticide Frequency in the Control of Thrips tabaci Lindeman (Thysanoptera:Thripidae) on Onion (Allium cepa L.) in Sokoto, Nigeria
Bibliographic record
Abstract
Two factors, transplanting date and insecticide frequency were combined to evaluate their effects in reducingpopulation of thrips and yield of onion. Transplanting was done at monthly interval from November throughMarch, while spraying was done fortnightly, starting from three weeks after transplanting (WAT) to nine WAT(3, 5, 7 and 9) using knapsack sprayer at 18.67g a.i./ha. Results showed that early transplanting done inNovember and December had fewer thrips than the subsequent ones. At 7 WAT, late transplanting made inFebruary had up to 191 thrips/plant and< 1 in the early transplants. First spray was effective in reducing thrips byabout 76% and second and subsequent sprays were less effective. There was significant difference betweentreatments (P
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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 | 0.001 |
| 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".