Improved sources of resistance to ascochyta blight in chickpea
Bibliographic record
Abstract
Successful chickpea production in western Canada typically requires multiple applications of fungicides to minimize the severity of ascochyta blight (AB) caused by Ascochyta rabiei (Pass.) Lab. Although planting resistant cultivars could be economical and environmentally safer than fungicide use, varieties with a high level of resistance are not available. The objective of this research was to identify potentially useful parents for breeding programs aimed at the northern Great Plains by assessing the AB reaction of 12 desi and 12 kabuli chickpea varieties for their AB reaction on leaves, stems and pods under two fungicide regimes. The experiment was conducted at Swift Current and Shaunavon, Saskatchewan, in 2004 and 2005. Differences in AB severity on leaves, stems and pods, seed yield and 1000-seed weight occurred among varieties at all site-years tested. The variation was greater among kabuli varieties than desi varieties. Ascochyta blight severity was generally lower under the high fungicide regime. A positive correlation in AB severity on leaves, stems and pods was observed, suggesting a lack of organ-specific reaction. Several promising varieties that combined improved levels of AB resistance, high yield, and large seed size were identified. Key words: Didymella rabiei, Ascochyta rabiei, Cicer arietinum, fungicide efficacy
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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 | 0.000 |
| 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".