THE DISTRIBUTION AND POTENTIAL BENEFITS OF RHIZOSPHERE- ASSOCIATED BACTERIA IN CORN (Zea mays L.)
Bibliographic record
Abstract
Plant growth-promoting rhizobacteria (PGPR) are known for their potential use as biofertilizers, which can help to reduce the need and cost for synthetic fertilizers. The distribution and quantification of three PGPR in association with corn (Zea mays L.) was determined by the detection of chaperoninQO genes through real-time quantitative PCR. Sphingobacterium canadense, Azospirillum zeae, and Gluconacetobacter azotocaptans were detected at concentrations approaching 106 CFU/g in root tissues and rhizosphere soils in corn-growing regions of Ontario and Québec. Three additional bacterial isolates were recovered from corn rhizosphere soil and roots then identified via colony PCR. Greenhouse trials of all six bacteria as seed inoculants yielded no significant promotion of growth in corn. This study indicated that S. canadense, A. zeae, and G. azotocaptans were detected in locations where previously unknown to be, new PGPR can be isolated, and that a variety of potential PGPR inoculants failed to promote corn growth.
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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 | 0.001 | 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 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".