Inheritance of High Levels of Adult‐Plant Resistance to Stripe Rust in Five Spring Wheat Genotypes
Bibliographic record
Abstract
Inheritance of adult‐plant resistance to stripe rust (caused by Puccinia striiformis Westend. f. sp. tritici) in five spring wheats (Triticum aestivum L. em. Thell) following inoculation with the Mexican race Mex96‐11 was studied. All possible crosses among these resistant genotypes and a susceptible genotype, ‘Avocet‐YrA’, were made in a one‐way diallel mating design. F1 crosses, F2 populations, and F2:F3 and F5 single seed‐descent lines were evaluated under artificial field epidemics initiated with race Mex96‐11. The adult‐plant resistance in crosses of resistant parent with Avocet‐YrA tended to be incompletely dominant and was based on the interaction of gene Yr18 and at least three additional additive genes in each parent. Transgressive segregation was detected in all F2 populations and F5 single seed‐descent lines of the resistant parent inter‐crosses, indicating that some additive genes were nonallelic. Combining ability analyses indicated that additive gene effects were more important than nonadditive gene effects in the inheritance of adult plant resistance to stripe rust in the evaluated material. Estimates of narrow‐sense heritability ranged from 0.88 to 0.96. Stripe rust resistance in these wheats is expected to be durable.
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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".