Organic Compost of Swine Manure in the Production of Green Corn in Manaus, Brazil
Bibliographic record
Abstract
Pig farming is considered one of the activities with the greatest environmental impact due to the erroneous disposal of swine waste. The present work aimed to produce an organic compost using waste from pig production and evaluate its chemical characteristic, corn yield under doses of this organic compost and soil nutritional quality before and after the experiment implementation. The Corn was fertilized at sowing and 30 days after plant germination using organic compost from pig waste at the doses: 0, 2, 3, 4 and 5 t ha-1. The Corn used was CATIVERDE 02 and were seeded at 1.0 m spacing between rows and 0.40 m between plants, in a total area of 240 m2. The experimental design was randomized blocks with four replications and five doses of organic compost. The parameters evaluated for corn were: plant height, stem diameter, weight and corncob length. Fertilization with swine organic compost increases in soil P, K, Ca, even after the corn harvest. The best treatment was with a dose of 5 t ha-1, as it resulted in higher plant height (1.85 m) and corn cob weight (261 g).
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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 | 0.001 | 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".