Relationships among isolates of <i>Botrytis cinerea</i> collected from greenhouses and field locations in Alberta, based on RAPD analysis
Bibliographic record
Abstract
This study was undertaken to determine whether there was genetic diversity among isolates of Botrytis cinerea (teleomorph Botryotinia fuckeliana) collected from greenhouses and field locations in Alberta, Canada, and whether genetic diversity could be attributed to collection location and (or) host plant species. The study was conducted to provide basic information that is intended for use in developing effective greenhouse control strategies for B. cinerea. Ninety-one isolates of B. cinerea were collected from 20 host plant species in 31 greenhouse and field locations across the province. Relationships among subsets of the isolates were assessed, using random amplified polymorphic DNA (RAPD) analysis, and correlated with collection location and host plant. The first subset comprised 38 isolates collected from tomato (Lycopersicon esculentum) in eight greenhouses. The second subset was made up of 50 isolates from 10 host species collected in 10 greenhouses. The third subset consisted of 35 isolates from 17 host species from 23 greenhouses and 8 field locations. Random amplified polymorphic DNA analysis demonstrated distinct groups of B. cinerea within greenhouses in Alberta. Isolates in the three subsets clustered together based on the greenhouse of origin, but not on geographic region or host species. To our knowledge this is the first report of specialization in B. cinerea based on the greenhouse of origin.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".