Irrigation Depth and Nitrogen Fertilization on Production and Quality of Cherry Tomatoes
Bibliographic record
Abstract
Nitrogen fertilization and water supply are determinant factors for production and physical-chemical quality of cherry tomato. The objective of this study is to evaluate the productivity and quality of cherry tomatoes, cultivar Carolina, produced under different irrigation depth and nitrogen treatments. The experiment was conducted in a protected environment in randomized blocks and a 5 × 3 factorial design with three replications. The treatments were integrated by the combination of five irrigation depth consisting of 50, 75, 100, 125 and 150% of replacement of the reference evapotranspiration (ETo), and three nitrogen treatments fertilization (common urea, urea with urease inhibitor and without the application of nitrogen). The productive and qualitative characteristics of tomato fruits were evaluated. Productivity was better responsive with the 125% ETo depth. The 100% ETo depth provided the highest titratable acidity. Nitrogen treatments did not promote differences in productivity and quality of tomatoes.
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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".