Effects of plant-growth-promoting bacteria on growth and yield of pepper under limited nitrogen supply
Bibliographic record
Abstract
The influence of plant-growth-promoting bacteria (Azospirillum brasilense and Pantoea dispersa) on sweet pepper plants (Capsicum annuum L.) under limited N supply was studied. Inoculation did not affect leaf CO2 assimilation, Ci/Ca (the ratio of the intercellular to the ambient CO2 concentration), concentration of chlorophylls, chlorophyll fluorescence (maximum quantum efficiency of PSII) or SPAD readings. Total plant dry weight was significantly reduced in both inoculated and non-inoculated plants when the N supply was reduced from 12 (control) to 7 mM, whilst the NO3− and total-N concentrations in the leaves were not significantly affected by inoculation. Inoculation did not affect marketable fruit yield or the pigments (chlorophylls, lycopene and β-carotene) and carbohydrate (sucrose, glucose and fructose) contents in the fruits but flavonoids and anthocyanins were increased significantly by the addition of the bacteria, relative to non-inoculated plants under limited N supply. Key words: Plant-growth-promoting bacteria, Capsicum annuum L., soilless, photosynthesis, chlorophylls, flavonoids
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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) | 0.001 | 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 | 0.001 |
| 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".