Plant growth promotion and nitrogen fixation in canola (<i>Brassica napus</i>) by an endophytic strain of <i>Paenibacillus polymyxa</i> and its GFP-tagged derivative in a long-term study
Bibliographic record
Abstract
Paenibacillus polymyxa P2b-2R is an endophytic strain capable of fixing nitrogen (N) and promoting growth in a broad range of hosts. In this study, the ability of Paenibacillus polymyxa P2b-2R to fix N and promote the growth of canola (Brassica napus L.) was determined in a 3-month-long trial. We also compared growth promoting and N-fixing capability of wild-type P2b-2R and its GFP-tagged counterpart. Canola seedlings were inoculated with strain P2b-2Rgfp or P2b-2R. Non-inoculated seedlings were used as controls. Canola seedlings were grown for 3 months before evaluating plant growth promotion (length, biomass, and pod mass) and N fixation (using foliar 15N dilution assay). P2b-2Rgfp inoculation significantly promoted canola growth by increasing seedling length by 2-fold, biomass by 2.5-fold, and fixing 35% of its foliar N, respectively. P2b-2R inoculation also increased seedling length by 70%, biomass by 2-fold, and fixed 27% of N. Seedling biomass and length, and the amount of N fixed by P2b-2Rgfp-treated seedlings was significantly greater than the P2b-2R-treated seedlings. P2b-2R or P2b-2Rgfp inoculation also lead to an increase of pod mass (more than 50%), indicating that these strains might play a role in enhancing the yield of canola by acting as biofertilizer.
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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 | 0.001 | 0.001 |
| 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".