Effect of NPK Fertilization on Tachigali vulgaris L. G. Silva & H. C. Lima Plants
Bibliographic record
Abstract
The study on nutritional needs of the tree species T. vulgaris, has a great contribution to the formation and conduction of plantations, resulting in their choice in terms of the potential that has been demonstrated in the comparative trials of fast growing species (more than 0.60 m/year in height) and strong regional demand for firewood and coal. The objective of this study was to evaluate the growth of T. vulgaris in response to the application of nitrogen, phosphorus and potassium, from the beginning of the establishment until the second year after planting. The study was carried out in the municipality of Igarapé-Açu-PA, in a T. vulgaris plantation of 1.44 ha (14,400 m2), spacing of 2 m × 3 m (plants × lines). The treatments consisted in the use of commercial products urea, super triple phosphate and potassium chloride as source of N-nitrogen, phosphorus-P2O5 and potassium-K2O respectively, forming 8 treatmentswhich were analyzed using measures repeated in time. Treatment with combined doses of nitrogen and potassium contributed to a higher growth in height and diameter when compared to plants without fertilization. Fertilization of nitrogen (26.67 g) plus potassium (30 g) contributed to a higher planting growth.
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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 | 0.001 |
| 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".