The effects of moisture and temperature on the survival of <i>Colletotrichum acutatum</i> on strawberry residue in soil
Bibliographic record
Abstract
Strawberry stolons inoculated with Colletotrichum acutatum, the causal agent of strawberry anthracnose, were buried in autoclaved or nonautoclaved Reiff fine sandy loam soil and kept at 5 or 10 °C in controlled environment chambers. Samples were examined monthly for 6 months to determine the survival of the pathogen from the number of recovered conidia and the percent conidial germination. Two soil moisture levels, with water contents of 26.8 or 35.3 g per 100 g of dry soil, were maintained at each temperature. Three isolates of C. acutatum (Wolfskill, Surecrop, and 102) from California strawberry performed similarly at the same temperature. The number of conidia recovered and percent conidial germination were the highest at 5 °C with a soil moisture level of 26.8%. Conidia recovered from buried stolons decreased progressively over the 6 months, from 5 × 104 to 0.5 × 104 per linear centimeter of lesion on stolons. The decline was more pronounced at 10 °C than 5 °C and at a higher soil moisture. Percent conidial germination remained between 80% and 90% for 4 to 5 months, fell to 40%–60% in the last period, and was particularly low at 10 °C and high soil moisture. Our results indicated that C. acutatum may survive the relatively short winter fallow season in strawberry nursery soil in California.
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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".