Response of Plasticultured Bell Pepper to Staking, Irrigation Frequency, and Fertigated Nitrogen Rate
Bibliographic record
Abstract
Effects of staking, drip irrigation frequency and fertigated N rate on dry matter partitioning and yield of bell peppers ( Capsicum annuum L.), grown using polyethylene mulch and mini-tunnels, were determined in two years. In the second year, which had higher early-season temperatures and more hours of direct sunlight, plants were larger, more productive and had larger fruit with thicker pericarps and a higher water content than in the first year. In both years, staked plants fertigated with 31.5 vs. 63 kg·ha -1 N produced higher yields due to increased fruit size and pericarp thickness. Compared with the response to monthly irrigation plus rainfall, additional irrigation applied when the soil moisture tension averaged below -25 and -20 kPa in the two years, respectively, affected yield only in the second year when it increased yield and the number of fruits produced by staked plants and decreased that of non-staked plants. Patterns of vegetative development and dry matter partitioning indicate that resources were remobilized from leaves to support fruit development.
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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".