Biochar as Phosphorus Conditioner in Substrate for Brazil Nut (Bertholletia excelsa Humb. & Bonpl.) Seedling Production in the Central Amazon
Bibliographic record
Abstract
The aim of this study was to evaluate the interaction of biochar and phosphorus in substrate for seedling production of Brazil nut. A greenhouse experiment was carried out with the following treatments: five doses of biochar (0, 20, 40, 60 and 80 t ha-1) and effect of two levels of phosphorus (0 and 100 kg ha-1 of P2O5) with 4 replicates. The plant height, stem diameter and number of leaves were monthly evaluated. At the end of experiment (180 days), the plants were removed from the pots and were evaluated the dry weight of the seedlings (total, shoot and roots), absolute growth rate, height/diameter and shoot/root ratio, number of leaves, leaf gain and quality index of seedlings. There was a significant interaction between the biochar and phosphorus interaction. The elevation of the bioburden doses did not influence any variables with phosphorus. In the absence of phosphorus, the doses of up to 40 t ha-1 of biochar promoted the highest values of the analyzed variables. Higher doses of biochar (> 40 t ha-1) reduced the growth and seedlings quality, however, it was found that under phosphate fertilization, the seedlings were obtained better growth results.
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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".