Evaluation of the Antifungal Activity of Streptomyces sp. on Bipolaris sorokiniana and the Growth Promotion of Wheat Plants
Bibliographic record
Abstract
Streptomyces sp. R18(6) and Streptomyces sp. 6(4) strains were evaluated for their ability to control brown spot and common root rot caused by Bipolaris sorokiniana in wheat crops. The antifungal activity of these isolates was tested using a double-layer assay and culture pairing at 28 °C. Physiological and enzymatic activity performed through siderophore, indole-3-acetic acid, nitrogen fixation and phosphate solubilization tests. The biocontrol of the disease and growth-promoting efficiency of wheat seedlings were assessed using in vivo assays in a greenhouse. In the culture pairing assays, both strains inhibited B. sorokiniana mycelial growth, while in the double-layer only Streptomyces sp. R18(6). Streptomyces sp. 6(4) produced auxin, siderophores, fixed nitrogen and solubilized phosphate, whereas R18(6) did not produce siderophores. In the greenhouse assays, strain R18(6) showed statistical differences in shoot dry mass and root dry mass compared with those of strain 6(4) in the presence of the phytopathogen (P ≤ 0.05), and these results were more evident when the environmental temperature was higher. In the absence of the phytopathogen, Streptomyces sp. 6(4) strain increased the root dry mass compared with that of the control during the same period. Therefore, these isolates can potentially control root rot and brown spotting and may promote the growth of wheat plants.
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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".