Inheritance of leaf rust resistance in the wheat cultivars AC Majestic, AC Splendor, and AC Karma
Bibliographic record
Abstract
The wheat cultivars AC Majestic, AC Splendor, and AC Karma were developed and licensed for production in western Canada in the mid-1990s. Leaf rust, caused by Puccinia triticina, is an important pathogen of wheat throughout North America. Virulent isolates of P. triticina are selected and increase following the release of wheats with specific resistance genes, which eventually reduces the effectiveness of the resistance. Knowledge of the genes that condition leaf rust resistance in wheat makes it easier to add additional resistance genes to breeding germplasm. The objective of this study was to identify the leaf rust resistance genes in these three cultivars. The three cultivars were crossed with the susceptible wheat 'Thatcher', and the F1 plants were backcrossed to 'Thatcher'. The backcross F2 (BCF2) families were tested for segregation of leaf rust resistance in seedling tests with specific P. triticina isolates. The BCF2 families were also tested for segregation of leaf rust resistance as adult plants in a field rust nursery that had been inoculated with a mixture of P. triticina virulence phenotypes. 'AC Majestic' was determined to have the seedling resistance gene Lr16 and the adult plant resistance gene Lr13. 'AC Splendor' was determined to have Lr13, Lr16, and the adult plant resistance gene Lr34. 'AC Karma' was determined to have Lr13, Lr16, and the adult plant resistance gene LrTb. All three cultivars had genes Lr13 and Lr16, which reflect a lack of genetic diversity for leaf rust resistance in western Canada spring wheats. The results of the study indicate that additional leaf rust resistance genes need to be crossed into the spring wheat germplasm to provide new cultivars with high levels of leaf rust resistance.
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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".