Lettuce seed pelleting with <i>Pseudomonas</i> sp. 31-12: plant growth promotion under laboratory and greenhouse conditions
Bibliographic record
Abstract
Plant growth promotion by Pseudomonas sp. 31-12 incorporated into a lettuce seed pelleting matrix was studied. We examined (1) the effect of five rhizosphere derived bacterial strains on green oak lettuce ( Lactuca sativa L.) seed germination, root and shoot growth, as a strain selection step for seed coating and seed pelletizing studies, (2) population stability of Pseudomonas sp. 31-12 incorporated into a pelleting matrix on lettuce seed stored three months at 4 °C, and (3) lettuce growth promotion in the laboratory and greenhouse by Pseudomonas sp. 31-12 coated and pelletized seed. A spontaneous streptomycin mutant of Pseudomonas sp. 31-12 (str) was used to determine population size on seed and roots of 15- and 30-day-old lettuce. The population of Pseudomonas sp. 31-12str on coated and pelleted seed decreased from 104 cfu/seed to 103 cfu/seed after 3 months storage at 4 °C. However, the population exceeded 104 cfu/g root dry mass and 105/g root dry mass after 15 days and 30 days in the greenhouse. Leaf fresh mass was significantly increased ( P ≤ 0.05) with Pseudomonas sp. 31-12 seed treatment as compared to noninoculated seed. In conclusion, pelletized lettuce seed with Pseudomonas sp. 31-12 promoted growth and yield in the greenhouse.
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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".