Prevalence of <i>Botrytis</i> Cryptic Species in Strawberry Nursery Transplants and Strawberry and Blueberry Commercial Fields in the Eastern United States
Bibliographic record
Abstract
Botrytis isolates from strawberry transplants originating from Canada and the northern United States as well as isolates collected from strawberry and blueberry commercial fields in the southeastern United States were investigated for the frequency of Botrytis cinerea, other cryptic Botrytis spp. reported recently, and the transposable elements (TE) using six genetic markers. B. cinerea sensu stricto was predominant (94%) in strawberry and blueberry in all surveyed regions. Botrytis group S, a newly reported clade on strawberry from Germany, was found at low frequencies (6%) in strawberry in the United States and Canada and on blueberry isolates from Florida. Neither B. caroliniana nor B. pseudocinerea were detected in the U.S. or Canadian populations. Transposa isolates containing the TE boty and flipper accounted for 74% of 410 isolates studied herein. Isolates containing boty only or flipper only elements were found at 21 and 2%, respectively. However, boty isolates were predominant in the blueberry population with more than 50%. The TE were found in B. cinerea and Botrytis group S at similar frequencies, except that flipper was more frequent (10.7%) in Botrytis group S, compared with 1.6% in B. cinerea. The sensitivity of 256 Botrytis isolates from the different genetic groups described above was evaluated to seven fungicides registered to control gray mold in commercial fields. Results indicate that B. cinerea and transposa isolates have higher resistance frequencies to almost all fungicides tested compared with the other Botrytis genotypes or species, whereas the TE flipper may be related to resistance to fludioxonil. Similarities observed between nursery and commercial field populations and their impact on gray mold development and management are discussed.
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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) | 0.001 | 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".