Persistence of<i>Pseudomonas fluorescens</i><scp>LBUM</scp>677 in the rhizosphere of corn gromwell (<i>Buglossoides arvensis</i>) under field conditions and its impact on seed oil and stearidonic acid bioaccumulation
Bibliographic record
Abstract
The aim of this study was to evaluate the persistence of Pseudomonas fluorescens LBUM677 in the rhizosphere of Buglossoides arvensis under agricultural field conditions and determine if B. arvensis intraspecific genetic variations affect the capacity of LBUM677 to colonize its rhizosphere and increase seed oil and stearidonic acid (SDA) accumulation. Two field experiments were performed to: (i) study the persistence of various concentrations of LBUM677 inoculated in the rhizosphere of B. arvensis and determine a minimum inoculation threshold required to maximize biological activity; and (ii) study the impact of B. arvensis intraspecific genetic variations on LBUM677 rhizosphere colonization and seed oil and SDA accumulation. In order to track LBUM677 populations in soil over time, a specific quantitative polymerase chain reaction assay was developed. Inoculation with a minimum of 109 LBUM677 bacterial cells per plant was determined as a threshold to promote maximum B. arvensis rhizosphere colonization and seed oil and SDA accumulation. Buglossoides arvensis intraspecific genetic variations had an impact on rhizosphere colonization, B. arvensis seed oil and SDA accumulation, where two cultivars benefited more than others from LBUM677 inoculation. LBUM677 can colonize the rhizosphere and increase seed oil and SDA yields in B. arvensis plants in a cultivar‐dependant manner. LBUM677 shows potential to be used as a biofertilizer to specifically increase seed oil and SDA yields in B. arvensis. This will in turn promote the development of an economically viable agricultural‐based approach as an alternative for producing high‐quality polyunsaturated fatty acids.
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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".