Host specificity of<i>Colletotrichum truncatum</i>from lentil
Bibliographic record
Abstract
Isolates of Colletotrichum truncatum from lentil (Lens culinaris) and soybean (Glycine max) were shown to have different host ranges and patterns of latent infection. A smaller number of studies on an isolate from scentless chamomile (Matricaria perforata) indicated that this isolate likely differs from either lentil or soybean isolates. In growth-cabinet trials, lentil isolates were pathogenic on lentil, faba bean (Vicia faba), field pea (Pisum sativum), narrow-leaf vetch (Vicia americana), and chickpea (Cicer arietinum). Latent infection by lentil isolates was observed only in scentless chamomile, and no symptoms were observed on alfalfa (Medicago sativa), dry bean (Phaseolus vulgaris), or lupin (Lupinus albus). Isolates from scentless chamomile had a short latent period and produced abundant disease on scentless chamomile and limited symptoms on lentil, faba bean, field pea, and chickpea. In contrast, soybean isolates had an extended latent period and produced visible lesions on soybean, chickpea, lupin, and dry bean, but not on faba bean, field pea, or narrow-leaf vetch. Latent infection by soybean isolates was identified in inoculated plants of all the plants species in the trial. Field trials confirmed that C. truncatum from lentil causes disease symptoms on faba bean and field pea (but not chickpea) under field conditions. There were no substantive differences in the pattern of pathogenicity or disease severity between the races of C. truncatum from lentil (Ct0 and Ct1) on the plant species in the study. Narrow-leaf vetch was generally susceptible to C. truncatum from lentil
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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".