Development of a storage method for ascospores of<i>Sclerotinia sclerotiorum</i>
Bibliographic record
Abstract
Assessing the reaction of canola plants (mainly Brassica napus) to the stem rot fungus, Sclerotinia sclerotiorum, in controlled environments, using ascospores, most closely resembles natural infection. This approach requires a ready supply of viable ascospores with germination ability, while their production under laboratory conditions is often inconsistent. The objective of the present study was to determine whether ascospores of S. sclerotiorum could be effectively conserved in deionized water or glycerol and used directly for inoculating plants. Ascospores were collected in sterile deionized water from apothecia produced under controlled conditions and were stored in deionized water, in 30%, 40%, 50%, or 60% aqueous solutions of glycerol, or on hydrophilic, mixed-cellulose-esters membranes at –20 or –80 °C for 1, 3, 6, 9, 12, and 24 months. After 12 months of storage at –20 or –80 °C, there were significantly higher proportions of viable ascospores in 30% and 40% glycerol than in the other storage media. Ascospores remained infectious for as long as 12 months of storage at both storage temperatures in most treatments. Overall, the study indicated that ascospores stored at –80 °C in 30%–40% glycerol for up to 12 months were a reliable source of inoculum for pathogenicity tests.
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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) | 0.001 | 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 | 0.001 |
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".