Effects of Nitrogen Fertilization and Water Replacement Level on the Production of Gladiolus Corms in a Protected Environment
Bibliographic record
Abstract
The objective of this study was to evaluate the effects of water replacement levels (50, 75, 100, 125 and 150%; for the 100% level, the water replacement volume was at field capacity) and nitrogen doses (0, 30, 60, 90, and 120 mg dm-3) on the production of gladiolus (Gladiolus grandiflorus L.) corms, White Friendship variety. The project was developed in a protected environment using a randomized complete block design witha 5x5 factorial scheme (water replacement levels × nitrogen doses). The evaluated variables werecorm diameter and weight and cormel number and weight. The data were assed using analysis of variance F-test at 5% probability and a regression analysis using the Sisvar statistical program. There was no nitrogen fertilization effect on the analyzed variables. The water replacement levels had a significant effect. For corm weight, the water replacement level that led to the highest weight was 128.96%. The weight and number of cormels were fit using an increasing linear regression model. According to Brazilian commercial corm standards, quality corms with diameters that suggest good potential for floral stem production were observed starting at the 50% water replacement level.
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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) | 0.001 | 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".