Carpogenic germination of sclerotia of<i>Sclerotinia minor</i>and ascosporic infection of pyrethrum flowers
Bibliographic record
Abstract
Carpogenic germination of sclerotia and infection of flowers by ascospores of Sclerotinia minor is rare and seldom documented in most hosts. During 2007–2009, S. minor isolates were obtained from surface-sterilized pyrethrum flowers collected from fields in Australia. The isolation frequency of S. minor from flowers in 2007, 2008 and 2009 was 15.8%, 5% and 1.4%, respectively. During these years, the prevalence of S. minor in flowers amongst pyrethrum fields varied between 10.3% and 60%. Sclerotia with apothecia, consistent in size with S. minor, were collected in one field. Colonies from individual ascospores from this isolate were identified as S. minor. A subsample of 10 S. minor isolates was selected for further studies. Phylogenetic analysis based on the internal transcribed spacer region grouped these isolates with S. minor, and distinct from published sequences of other Sclerotinia spp. Species-specific primers developed previously to differentiate the four major Sclerotinia spp. (S. sclerotiorum, S. minor, S. homoeocarpa and S. trifoliorum) were used to confirm identity. Of the 10 S. minor isolates, eight were able to carpogenically germinate in vitro. Pathogenicity of S. minor to flowers was confirmed in the greenhouse using ascospores. This study is one of the few instances documenting the ability of S. minor to infect floral tissues and the first documentation of S. minor causing flower disease of pyrethrum. These findings serve as a scaffold for further investigations into the mechanisms of flower infection by S. minor and have implications for the management of the Sclerotinia disease complex affecting pyrethrum in Australia.
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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".