Characterization of plant growth-promoting <i>Bacillus edaphicus</i> NBT and its effect on lead uptake by Indian mustard in a lead-amended soil
Bibliographic record
Abstract
The plant growth promotion characteristics of a heavy-metal-resistant strain of Bacillus edaphicus NBT was characterized. The strain was also evaluated for promoting plant growth and lead (Pb) uptake of Brassica juncea L. Czern (Indian mustard) in soil artificially contaminated with 0, 400, and 800 mg Pb.kg-1 soil. Atomic absorption spectrometer analysis demonstrated that strain NBT could release water-soluble Pb from lead carbonate in the solution. Strain NBT had the capacity to produce indole acetic acid, siderophores, and 1-aminocyclopropane-1-carboxylate deaminase. Low and high Pb treatments significantly decreased the growth of Indian mustard. Inoculation with strain NBT was found to increase root dry mass (ranging from 16% to 22%) and above-ground tissue dry mass (ranging from 24% to 30%) of Indian mustard in the Pb-amended soil. Strain NBT was able to mobilize Pb efficiently in plants in Pb-amended soil. In the soil treated with 400 and 800 mg Pb.kg-1 soil, the increase in Pb uptake varied from 18% to 46% in live bacterium-inoculated Indian mustard plants compared with dead bacterium-inoculated control. The strain was also able to colonize and develop in the rhizosphere soil of Indian mustard after root inoculation.
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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) | 0.000 | 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".