Sulfur-oxidizing buffalo dung bacteria enhance growth and yield of <i>Foeniculum vulgare</i> Mill.
Bibliographic record
Abstract
This study aimed to harness the benefits of sulfur-oxidizing beneficial bacteria from buffalo dung to improve crop yields of Foeniculum vulgare. A total of 61 bacterial isolates were screened from buffalo dung, of which 40 isolates exhibited plant-growth-promoting attributes, such as phosphate solubilization, indole-3-acetic acid production, and hydrogen cyanide production. Of these 40, four bacterial isolates, viz., BUFF12, BUFF14, BUFF23, and BUFF38, were the most potent, having plant-growth-promoting and sulfur-oxidizing properties. These four isolates produced phytase by solubilizing calcium phytate and sodium phytate. They solubilized potassium besides oxidizing the sulfur, causing an increase in soil fertility and crop production. All four isolates were nonpathogenic in nature, as demonstrated by a negative haemolysis test. According to the 16S rRNA gene sequence, the isolate BUFF14 was identified as Proteus mirabilis. Proteus mirabilis BUFF14 maximized seed germination with enhanced vegetative and reproductive parameters during pot and field trial studies, compared with the other isolates.
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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) | 0.001 | 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".