Effect of media and temperature on sporulation of Septoria apiicola, and of inoculum density on septoria blight severity in celery
Bibliographic record
Abstract
The number of conidia produced by Septoria apiicola was quantified on seven media incubated at 20°C. Conidia were produced abundantly on celery agar (CA) and celery potato dextrose agar (CPDA) after 12 days of incubation. In general, media containing celery decoction, including cleared V8 juice agar (CVA), produced more conidia than those without celery decoction. The number of conidia and the colony area produced per plate on CA increased with increase in temperature up to an optimum temperature and then decreased markedly. A second-order linear regression equation explained 99% of the variation in the number of conidia produced on CA plates incubated at temperatures ranging from 15 to 30°C, with the predicted optimum temperature of 22.4°C. Ninety eight percent of the variations in the colony area were explained by a linearized BETE-equation with the predicted optimal temperature of 22.7°C. Blight severity in celery ( Apium graveolens var. dulce ) increased with increase in inoculum density. For inoculum density ranging from 5-140 conidia/cm 2 of leaf surface, 92% of the variations in the number of lesions per leaf, pooled from two experiments, were explained by a second-order linear regression equation. The model was less reliable for inoculum densities less than 17 conidia/cm 2 of leaf surface.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".