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 10 4 cfu/seed to 10 3 cfu/seed after 3 months storage at 4 °C. However, the population exceeded 10 4 cfu/g root dry mass and 10 5 /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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".