Inheritance of resistance to common bunt in spelt and common wheat
Bibliographic record
Abstract
Common bunt causes yield loss and reduces grain quality in both common and durum wheats in western Canada. Since the most cost-effective method of control is the use of host resistance, this study was conducted to provide information on the genetic control of bunt resistance in three potentially new sources: common wheat cultivar Triple Dirk and spelt wheat cultivars RL5407 and SK0263. The segregating populations from the three crosses Laura/Triple Dirk, Laura/RL5407 and Genesis/SK0263 were evaluated for common bunt resistance in the field for races T1, T13 and L7 and in the greenhouse for race T1. Genetic analysis indicated that Triple Dirk may carry a major gene controlling resistance to each of the bunt races T1, T13 and L7. The spelt wheat RL5407 may carry a major gene for resistance to both races T13 and L7 or genes conditioning resistance to T13 and L7 that are closely linked, and an additional major gene for resistance to race T1. The two major genes carried by RL5407 are believed to be different. SK0263 possibly carried two major genes for resistance to race T1. The disease data in F1 and F2 generations did not show any dominance for bunt resistance to race T1 in any of the three crosses. From crosses involving Triple Dirk, RL5407 and SK0263, selection of breeding lines highly resistant to common bunt can be effective in the progenies due to the nature of non dominance and one- or two-gene controlled resistance. Key words: Wheat, common bunt, Triticum sp., Tilletia sp.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".