Biological Control of Bacterial Wilt of Bean Using a Bacterial Endophyte, <i>Pantoea agglomerans</i>
Bibliographic record
Abstract
Abstract Indoor studies were conducted to determine the potential use of Pantoea agglomerans isolate LRC 8311 as a biocontrol agent for control of bacterial wilt of bean caused by Curtobacterium flaccumfaciens pv. flaccumfaciens . Soaking seeds of great northern bean cv. US1140 in a suspension of 3 × 10 8 cfu/ml P. agglomerans resulted in thorough endophytic colonization of the entire bean seedling from root to apical stem after 7 days, regardless of whether the inoculated seeds were hilum injured or not. Colonization of seedlings by P. agglomerans increased seedling height after 10 days, and had no negative effect on seedling emergence. Treatment of hilum‐injured bean seeds of great northern bean cv. US1140 or navy bean cv. Morden003 with a mixture of P. agglomerans + C. flaccumfaciens pv. flaccumfaciens resulted in a high rate of colonization of seedlings by P. agglomerans , reduced frequency of infection by C. flaccumfaciens pv. flaccumfaciens , improved seedling emergence and height, and reduced disease severity, compared with seeds treated with the wilt pathogen alone. Application of P. agglomerans as a soil drench 24 h after planting was also effective in suppressing bacterial wilt in some instances, but was generally not as effective as seed treatment. The study suggests that seed treatment with P. agglomerans may be an effective and practical method for control of bacterial wilt of bean.
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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".