Cacti-associated rhizobacteria from Brazilian Caatinga biome induce maize growth promotion and alleviate abiotic stress
Bibliographic record
Abstract
The aim of this study was to isolate and characterize the culturable rhizobacteria associated with native cacti from Caatinga biome, testing their potential in plant growth promotion and abiotic stress tolerance. Bacterial isolates were examined for plant growth promotion traits and for in vitro abiotic stress tolerance. Promising isolates were 16S rRNA sequenced, tested under greenhouse conditions for plant growth promotion and induction of water deficit tolerance in maize plants. Analysis of variance was used to assess differences among treatments and, when significant, followed by the Scott-Knott’s test. The highest culturable population density was found in Melocactus zehntneri and the most promissing isolates belonged to the genus Bacillus. Under recommended conditions of irrigation, plants inoculated with the isolates CF12.2, CF8.2, and P12.2 presented an increment in root length, leaf number and root and shoot dry weight. Additionally, isolates CF6.1, CF3.1, CF8.2 and P12.2, increased shoot dry weight under water deficit conditions. In this study we identified bacterial taxa for further validation and application as biostimulants in crops grown in drylands.
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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 | 0.001 | 0.001 |
| 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".