Interspecies Transfer of Resistance to Anthracnose in Lentil (<i>Lens culinaris</i> Medic.)
Bibliographic record
Abstract
Lentil, Lens culinaris subsp. culinaris Medic., is an important legume crop on the Canadian prairies. Anthracnose, a fungal disease caused by Colletotrichum truncatum (Schwein.) Andrus & W.D. Moore, is a major barrier to seed yield and quality in lentil. Pathogenicity testing has revealed two races, Ct1 and Ct0, of C. truncatum in western Canada. No cultivar or landrace of cultivated lentil has been reported with resistance to anthracnose race Ct0. A search for Ct0 resistance in the wild species identified a high frequency of resistant accessions in Lens ervoides (Brign.) Grande. To incorporate higher levels of resistance from L. ervoides to the two races of anthracnose, a cross was made between a susceptible L. culinaris cultivar, Eston, and a resistant accession of L. ervoides germplasm, L‐01‐827A, which has both Ct0 and Ct1 resistance. Embryo rescue technique was used to obtain an F1 hybrid. Single‐seed descent was used to advance the individual F2 plants to F7:8 recombinant inbred lines. Evidence of transfer of resistance to both anthracnose races Ct1 and Ct0 from the wild species to cultivated lentil is presented. Chi‐square tests of goodness of fit indicated that resistance to race Ct1 and race Ct0 may be conferred by two recessive genes. However, these results may be skewed due to variable fertility encountered in development of the population. Selection of resistant lines for use in pyramiding genes in breeding programs should result in a more durable level of resistance to anthracnose in 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 | 0.001 | 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".