Marandu, Xaraés and Piata Grasses Fertilized With Swine Wastewater Under Greenhouse Conditions
Bibliographic record
Abstract
The management of swine wastewater is of great importance where swine breeding is considerable and can represent an important fertilizer at maintenance of forages. The objective was to identify the Urochloa brizantha cultivar more responsive to fertilization with swine wastewater. The experimental design was in randomized blocks, with a 3 × 5 factorial scheme and four replications. The treatments consisted of three Urochloa brizantha cultivars (Marandu, Xaraés and Piatã) and five swine wastewater doses (0.0; 3.5; 7.0; 10.5 and 14.0 g dm3 pot-1). The experiment was carried out in a greenhouse in the city of Cuiabá-MT. Three cuts were performed in the aerial part of the plants with intervals of 30 days between them. The application of the swine wastewater, regardless of the cultivar provided an increment in the production of dry mass, plant height, number of tillers, number of leaves and crude protein content, besides reducing the neutral detergent fiber and acid detergent fiber contents. The swine wastewater can be used as an alternative in the fertilization of Urochloa brizantha, because the cultivars were responsive to fertilization.
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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".