<i>Bacillus subtilis</i> SL-13 biochar formulation promotes pepper plant growth and soil improvement
Bibliographic record
Abstract
The use of microbial fertilizers can help to avoid the harmful effects of traditional agricultural fertilizers and pesticides; however, there are many constraints on the practical application of such fertilizers. In this study, microbial biochar formulations (MBFs) were obtained by loading biochar, created from agricultural waste, with Bacillus subtilis SL-13. The effects of the MBF on pepper plant growth and soil fertility were studied in pot experiments. The MBF improved the soil texture and environment and favored plant growth. Compared with B. subtilis SL-13-only and biochar-only treatments, the MBF treatments exhibited a significant increase in pepper plant growth and physiological indices and a significant improvement in the physical–chemical properties and activities of several enzymes in the soil. Therefore, the present study demonstrated that MBFs not only retain the beneficial effect of biochar in improving the soil properties but also improve the performance of B. subtilis SL-13 in promoting plant growth.
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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".