Lack of effective resistance to the virulent race of <i>Colletotrichum lentis</i> in <i>Lens culinaris</i> Medikus subsp. <i>culinaris</i>
Bibliographic record
Abstract
Abstract Anthracnose caused by Colletotrichum lentis is an important fungal disease of lentil in western Canada. Two known pathogenic C. lentis races, race 0 and race 1 have been identified and current cultivars of lentil have little or no resistance to the virulent race 0. Seven Lens culinaris subsp. culinaris landrace accessions were previously reported to have resistance to C. lentis race 0. In this study, accession VIR-2633, with reported resistance to both races of C. lentis, and seven accessions were assessed for race 0 resistance relative to LR-59-81, an interspecific line derived from a L. culinaris subsp. culinaris × Lens ervoides cross. The results showed a lack of effective resistance to race 0 among the tested L. culinaris accessions when compared to that of LR-59-81. A few sublines displayed modest improvements in resistance compared to the susceptible check ‘Eston’, but were significantly more susceptible than LR-59-81. Moreover, screening of the sublines of accession VIR-2633 identified 12 sublines with resistance to race 1, but all VIR-2633 sublines were susceptible to race 0. The study underlined the importance of wild lentil germplasm for broadening the genetic base of cultivated lentil and their usefulness in disease screening experiments as positive checks.
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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".