The Effect of Plant Age on Resistance to <i>Colletotrichum truncatum</i> in <i>Lens culinaris</i>
Bibliographic record
Abstract
Anthracnose, caused by Colletotrichum truncatum, is a major disease of lentil (Lens culinaris) on the Canadian prairies. Age-dependent resistance to the pathogen was elucidated on (i) the partially resistant line 'CDC Redberry' compared with both resistant (LR59-81) and susceptible ('Eston') lines at different ages across the life cycle of the plant, and (ii) a range of lines with varying resistance at key ages, using both races of the pathogen (races Ct0 and Ct1). CDC Redberry appears moderately susceptible when inoculated at a young age and is more resistant when inoculated 19 to 26 days after planting. The highest disease levels were observed on the oldest plants studied (inoculated at podding stage, 47 days after planting). This pattern of age-dependent resistance in CDC Redberry was the same after inoculation with either race of the pathogen and indicated that the best differentiation occurs when plants are inoculated at the podding stage. 'CDC Robin' showed consistent separation between races at all ages but the most substantial differences were observed on plants inoculated at 47 days of age. Resistant lines LR59-81 and VIR 421 were relatively unaffected by age or by race of C. truncatum compared with partially resistant and susceptible lines. Overall, results suggest that differentiation between resistant and susceptible lines is optimal using older, adult-phased plants.
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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 | 0.001 |
| 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".