MATÉRIA ORGÂNICA COMO ATENUANTE DA SALINIDADE DA ÁGUA DE IRRIGAÇÃO NA CULTURA DO MILHO
Bibliographic record
Abstract
The objective of this work was to evaluate the use of organic matter in the development of corn irrigated with saline water. The experiment was carried out at the Agrarian Sciences Center of the Federal University of Alagoas. The experimental design was completely randomized in a 5 x 2 factorial scheme, with four replications, being the treatments: 5 levels of salinity (0.5 (control); 1.5; 3.0; 4.5 and 6.0 dS M-1) with presence and absence of organic matter. Saline solutions were prepared with NaCl and distilled water, and the formula: TSD (G L-1) = 0.64 x CEa was used. At 40 days after emergence, the plants were collected and analyzed for the number of leaves, leaf area, plant height, relative leaf chlorophyll index, shoot dry mass and root system dry mass. It was Found that all the variables studied in the maize crop were affected by the increase in salinity levels and that the soil decreased the effects of salinity when organic matter was added.
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".