Genetics of resistance to Stemphylium leaf blight of lentil (Lens culinaris) in the cross barimasur-4 x CDC milestone
Bibliographic record
Abstract
Stemphylium blight of lentil caused by Stemphylium botryosum Wallr., is a serious problem in Bangladesh, northeast India and Nepal causing more than 60 % yield losses under epidemic conditions. The pathogen started to appear on lentil in Saskatchewan in recent years and is widely distributed throughout western Canada but it is not well understood. An investigation of inheritance of resistance to stemphylium blight was done in the lentil cross Barimasur-4 × CDC Milestone. In order to develop a reliable indoor screening technique for this inheritance study, a suitable isolate of Stemphylium botryosum, a suitable culture medium for inoculum production and an appropriate plant age for indoor inoculation were identified. The maximum differential of disease severity was observed when lentil genotypes were inoculated at 14 days after planting (DAP). At 14 DAP, lentil plants rapidly defoliated but were capable of regrowth which caused variability in scoring for disease reaction. Inoculation at 42 DAP, close to the flowering stage, was found to be better for consistently scoring disease reaction. V8P medium was most suitable for inducing conidia production. Based on ability to sporulate, the isolate SB-19 from Saskatchewan was identified as suitable for conducting genetic studies of resistance to stemphylium blight. It was compared to isolate SB-BAN from Bangladesh for aggressiveness on two lentil cultivars. The SB-BAN isolate was found to be more aggressive. A preliminary screening of local and exotic germplasm done with the two isolates revealed considerable variability for disease resistance. Resistance to S. botryosum appeared to be quantitatively inherited in the cross Barimasur-4 × CDC Milestone according to both field and indoor screenings. The results of this study also confirmed that Precoz, one of the parents of Barimasur-4, was resistant to S. botryosum.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".