Enhancing total lipid and stearidonic acid yields in<i>Buglossoides arvensis</i>through PGPR inoculation
Bibliographic record
Abstract
AIM: This study was performed to identify bacterial isolates capable of enhancing total lipid and stearidonic acid (SDA) yields in Buglossoides arvensis. METHODS AND RESULTS: Pot experiments were conducted to screen the effects of 40 bacterial isolates on different B. arvensis growth parameters. Five isolates increased total lipid and SDA yields by at least 20%. These isolates were tested in a second pot experiment and in field trials. The second pot experiment confirmed that all isolates significantly increased total lipid and SDA yields over controls. Plants inoculated with four bacterial strains experienced significantly higher shoot weights, however, the increase in shoot weight decreased over time. Three isolates led to higher total seed numbers. In field trials, the inoculations had no significant effect on seed or lipid yields. However, isolate Pseudomonas fluorescens LBUM677 significantly increased SDA yield by 33% as compared to control plants. This strain was also the most efficient biofilm producer. CONCLUSIONS: Pseudomonas fluorescens LBUM677 can significantly increase SDA yield in B. arvensis under controlled and field conditions. SIGNIFICANCE AND IMPACT OF THE STUDY: Using bacterial strains to increase plant yield is of great interest under commercial settings. Pseudomonas fluorescens LBUM677 shows promise to promote SDA accumulation in B. arvensis under production conditions.
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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".