Disease incidence, lesion size, and sporulation in<i>Colletotrichum truncatum</i>as influenced by lentil genotype and temperature
Bibliographic record
Abstract
The development of anthracnose [Colletotrichum truncatum] was studied at four temperatures (16:12, 20:16, 24:20, and 28:24°C, day:night) on five partially resistanl lentil (Lens culinaris) genotypes (PI 299331, PI 320937, PI 345629, 458-57, and cv. Indianhead) and the susceptible cv. Eston, using a single pathogen isolate. Disease incidence was 100% across the temperature range in the susceptible cultivar, but varied between 33 and 100% among the resistant genotypes, The increase in disease incidence with temperature was linear, but was affected by the level of hos' resistance. For each genotype, lesion size increased with increasing temperature. Maximum lesion size was reached at 24:20°C and sharply decreased at 28:24°C. Percent sporulating stem lesions also increased with temperature, but at each temperature the highest sporulation occurred on cv. Eston, consistently remained lowest on PI 320937, and was intermediate in the other genotypes. The results showed that both temperature and genotype significantly affected disease incidence, lesion size, and sporulation and that the optimal temperature for anthracnose development occurred with day time temperatures of 20-24°C. regardless of level of host resistance.
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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".