Production and Bromatological Composition of Black Oat Cultivated with Vetch When Submitted to Nitrogen Fertilization in Above Sowing in the Pasture of Tifton 85
Bibliographic record
Abstract
The objective of this research was to evaluate the forage production, the bromatological composition of black oat in consortium with vetch when submitted to nitrogen fertilization in above sowing system in the Tifton 85 pasture. The experiment was conducted at the experimental farm of the Pontifical Catholic University of Parana, Campus Toledo-PR. The experimental design used was random blocks with four treatments and five repetitions and the treatments consisted of: only oat, oat consorted with vetch, oat with nitrogen fertilization and oat consorted with vetch and nitrogen fertilization. Were evaluated the bromatological composition (CP, NDF, ADF, LIG, EE DM, MM) and the forage yield in the consortium of oat with vetch and/or nitrogen fertilization. The results obtained to the bromatological composition indicate that the application of nitrogen on the surface of the forage increased production with an average of 3.922 kg ha-1 in the second year. The nitrogen fertilization also influenced in the medium contents of crude protein (CP) with 18.56% in the first year. The increase of nitrogen in the parcels showed meaningful results for the first year (P < 0.05) in the contents of dry matter with average value of 18.95%. The introduction of black oat consorted with vetch and with a nitrogen fertilization in above sowing in the crop of tifton 85 during the winter period provides an increase in the yield kg ha-1 and when the vetch was used it happened an increase in the contents of crude protein and dry matter in the bromatological composition of the forage.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".