Soil Solarization for Managing Weeds in Cabbage Brassica Oleraceae var Capitata in Trinidad and Tobago
Bibliographic record
Abstract
Abstract: A study was conducted to evaluate the effectiveness of soil solarization at the University Field Station (UFS), Trinidad and Tobago, in a cabbage (Brassica oleraceae var. capitata) field naturally infested with weeds. Well prepared pre-irrigated plots 2.4m × 5.4m were covered with 4mm thick clear polyethylene sheeting for the duration of seven weeks from the14th February to 3rd April, 2007. Cow manure was incorporated at a rate of 500m3 / ha in some solarized plots. Non-solarized plots were either treated with pre-emergent pendimethalin at a rate of 4.2L /ha three days after transplanting; treated with glyphosate two weeks before transplanting at a rate of 5L/ha in a stale seedbed preparation or were hand weeded. The cabbage variety salvation was transplanted on the 4th April, 2007. At the end of 10 weeks solarized plots were more effective in controlling weeds. Clear plastic give the best weed control (97.6%) followed by clear plastic + manure (96%) with pendimethalin giving 85.6 % control. However, pendimethalin gave a more consistent control of weeds for the duration of the crop. At all stages of assessment of the soil weed seed bank there was no significant difference in the weed count. Clear plastic had the highest yield of 36.45 t/ha and was significantly different from all other treatments. This yield was almost twice that of stale seedbed which gave the next best result of 18.75 t/ha. Pendimethalin had the lowest yield of 4.563 t/ha and
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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 | 0.001 | 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) | 0.001 | 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".