Impact of flower age and colour on infection of bean and alfalfa by<i>Sclerotinia sclerotiorum</i>
Bibliographic record
Abstract
Sclerotinia sclerotiorum is the causal agent of white mold of common bean (Phaseolus vulgaris) and blossom blight of alfalfa (Medicago sativa). No resistant cultivars of bean and alfalfa are currently available to growers in Canada. Studying physiological resistance is an important first step toward assessing and developing resistance in commercial cultivars. Flowers are generally the first tissue to be colonized by S. sclerotiorum in bean and alfalfa, and petal age has recently been shown to affect infection by S. sclerotiorum in canola (Brassica napus). Therefore, the development of the pathogen on detached flowers of bean and alfalfa was examined, focusing on the impact of flower colour and age on ascospore germination and mycelial growth. The colour and age of bean flowers did not affect ascospore germination or mycelial growth. Germtube growth was faster in extracts of 1-day-old petals than in extracts of 7-day-old petals for some cultivars. Petal extracts of bean had no inhibitory effect on ascospore germination and fungal growth, regardless of petal age and colour. Coloured flowers (purple or yellow) of alfalfa were colonized more slowly than white flowers. There was no difference in ascospore germination or mycelial growth in aqueous extracts from alfalfa petals of different colour, age or number. Petal age and colour did not have a substantial effect on the germination and development of S. sclerotiorum in alfalfa and bean.
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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".