Biological Fertilization as an Attenuation of Salinity Water on Beetroot (Beta vulgaris)
Bibliographic record
Abstract
Salinity is one of the major obstacles of modern agriculture, especially in the semi-arid regions, since these have high rates of evaporation and water sources with high salt terrors. Thus, the present study aimed to investigate the attenuating effects of bovine biofertilizer and biological fertilizer under irrigation with saline waters on the morphological behavior of beetroots (Beta vulgaris L.). The design was randomized blocks in a factorial scheme 4 × 2 + 1, referring to the electrical conductivity of the irrigation water (ECw: 0.5, 1.5, 3.0 and 6.0 dS m-1) and application of bovine biofertilizer in the absence (BIO I), and presence of Microgeo® (BIO II) and a control (without fertilization and ECw 0.5 dS m-1). No effects of the factors evaluated on the gas exchange of beetroots were observed. However, the increase of ECw has negative effects on phytomass and growth of this crop, as the application of bio fertilizer favors some soil chemical characteristics.
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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".