Decomposed Buriti Stem and Nitrogen Application Rates on the Growth of Eugenia dysenterica DC (Myrtaceae) Seedlings
Bibliographic record
Abstract
The effects of substrates formulated with different proportions of decomposed buriti stem (Mauritia flexuosa) and the application of nitrogen fertilizer rates in the production of cagaita (Eugenia dysenterica DC.) seedlings were investigated in this study. The treatments were arranged in a completely randomized design, in a 3 × 5 factorial: three substrates formulated from different proportions of decomposed buriti stem (0, 25 and 50%) with a clay loam soil (Oxisol), and five N fertilizer rates (0; 100; 200; 300 and 400 mg dm-3), with four replicates. At 60 days after emergence, the plant height, stem diameter, leaf area, root length, dry matter accumulation of shoots, roots, and total, shoot:root dry matter ratio (SRR), height:diameter ratio (HDR), and Dickson quality index (DQI) were measured. The substrate containing soil and decomposed buriti stem in the proportion of 3:1 (v:v), in association with the application of N rates from 167 to 190 mg dm-3 is recommended for the production of cagaita seedlings, resulting in positive effects on plant growth and development as reported by higher PH, SRR, and HDR. The application of 154 mg dm-3 of N resulted in higher DQI of the cagaita seedlings.
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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 | 0.001 |
| 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".