Interactions among isolates and mycelial compatibility groups of<i>Sclerotium cepivorum</i>and cultivars of onion (<i>Allum cepa</i>)
Bibliographic record
Abstract
One hundred and sixty-nine isolates of Selerotium cepivorum were evaluated for the ability to incite lesions of white rot of onion in three commercial cultivars of onion (Norstar, Benchmark, and Fortress), using a controlled environment, detached onion scale assay. All isolates incited lesions on detached onion scale segments, but isolate, cultivar, and isolate x cultivar interactions were observed when lesion diameter was measured 7 days post-inoculation. Lesion diameters ranged from 6.4 to 39.0 mm. When averaged across mycelial compatibility groups (MCGs), differences in mean lesion diameters were observed among the nine MCGs and three cultivars, but there were no MCG x cultivar interactions. When averaged across MCGs, mean lesion diameter was greatest on cv. Norstar, followed by cvs. Benchmark and Fortress. The results establish that significant differences and, in some cases, interactions can be detected among isolates and MCGs of S. cepivorum and cultivars of A. cepa, using a detached onion scale assay in controlled environments. Preliminary results indicated that these controlled environment assessments are correlated with field assessments of at least some of the same cultivars and breeding lines.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".