Studies on the biological characteristics of Sclerotium rolfsii strain SC64 causing southern blight on Solidago canadensis L.
Bibliographic record
Abstract
A southern blight of Canadian goldernrod(Solidago canadensis)was found to be an important disease.The pathogen was identified as Sclerotium rolfsii Sacc.based on morphological characteristics.Factors influencing mycelial growth and sclerotia germination of strain SC64 of Sclerotium rolfsii were studied.The results indicated that the most optimum media for the mycelial growth were modified Richard and potato dextrose agar(PDA),the range of temperature for the mycelium growth was 15-40 ℃,with the optimum at 30 ℃,and the range of pH was 4.0-6.0,with the optimal pH of 5.0.Through carbon sources testing on amended Czapek,sucrose was found to support growth significantly faster than other sources,while lactose was found to provide the slowest growth.Among the 13 nitrogen sources tested,peptone and potassium nitrate gave the best growth whereas urea gave the least growth.The range of temperature for sclerotia germination was 15-40 ℃,with the optimum at 30 ℃.Sclerotia germination reached 100% when incubated on bran substrate with ≥50% moisture.The range of pH for sclerotia germination was 2-10,with 100% germination at 3-9.Hyphal and sclerotia viability was completely lost when hyphal agar plugs and sclerotia were incubated at 45 ℃ 10 minutes and 50 ℃ 10 minutes,respectively.
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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 | 0.001 | 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".