Combining Ascochyta blight resistance and high yield in lentil cultivars
Bibliographic record
Abstract
Ascochyta blight (AB), caused by Ascochyta lentis Bond and Vassil, is a major disease of lentil (Lens culinaris L. Medik.) causing 30–70% yield losses in Canada, USA, and Australia and northern parts of India. The aim of the present study was to combine AB resistance with high yielding potential. The F3 and F4 populations from crosses involving AB resistant donors with ICARDA elite breeding lines, were advanced at Punjab Agricultural University, Ludhiana, India, respectively during main and off-seasons. The single plant F5 progenies were exposed to AB infections under eld conditions during 2006–2007 using disease rating scale of 1-9. Thirty two promising lines, bulked in F7 generation, were evaluated for seed yield in multi-location trials (2009–2010 and 2010–2011) and for their reactions to AB under arti cial inoculations along with susceptible check, LL147 (8 score). Six elite lines namely LL1187 (1.70 t ha-1), LL1210 (1.75 t ha-1), LL1197 (1.76 t ha-1), LL1186 (1.76 t ha-1), LL1201 (1.80 t ha-1) and LL1205 (1.80 t ha-1) recorded 9.6–16.1% yield advantage over the best check variety LL931 (1.55 t ha-1). The level of resistance (≤ 4 score) of these lines to AB was also higher compared to check variety LL931 (5 score). Inheritance of AB resistance is simple and controlled by major genes; hence it is easy to incorporate stable resistance in high yielding background by selecting parents carefully for hybridization program.
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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 | 0.001 | 0.000 |
| Open science | 0.001 | 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".