Genetic diversity in New Zealand populations of <i>Sclerotium cepivorum</i>
Bibliographic record
Abstract
Abstract Mycelial interactions were examined between 231 New Zealand isolates of Sclerotium cepivorum Berk., as well as 25 isolates from a further eight countries. Within the group of New Zealand isolates six mycelial compatibility groups (MCGs) were identified and named using reference strains obtained from the University of Guelph, Canada. Two new groups, presently only known from New Zealand, were identified. Heterogeneity was found both within and between fields in all regions. A subset of 51 S. cepivorum isolates was further investigated for genetic diversity using universally primed PCR (UP‐PCR) and random amplified polymorphic DNA (RAPD) analyses. When results were analysed separately, each primer distinguished one to three genetic groups. However, when the results from two primers (L15 and OPAX15) were combined, six genetic groups were revealed. The results, as shown by MCGs and molecular methods, demonstrate the presence of genetic diversity in New Zealand field populations of S. cepivorum.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".