Virulence of<i>Puccinia striiformis</i>on wheat and barley in central Alberta
Bibliographic record
Abstract
Sixty-one field collections of Puccinia striiformis, primarily from central Alberta during 2007–2008, were identified to be P. striiformis f. sp. tritici (Pst) or P. striiformis f. sp. hordei (Psh) based on virulence on differential seedlings. Wheat differentials separated 38 Pst isolates into 13 pathotypes, with most pathotypes consisting of single isolates. Two pathotypes consisted of two isolates, and three pathotypes were represented by three, seven and 16 isolates. Wheat lines with resistance genes Yr1, Yr5, Yr15 and YrSP were resistant to all 13 pathotypes, while wheat lines with genes Yr10, Yr24 and Yr28 were resistant to 82–92% of the isolates. Differentials YrA, Yr2, Yr6, Yr7, Yr8, Yr9, Yr17, Yr26, Yr27, Yr31 and YrCV were susceptible to 71–100% of the isolates. Twenty-three Psh isolates were identified to 15 Psh pathotypes, with virulence on two to eight barley differentials, including ‘Topper’, ‘Hiproly’, ‘Varunda’, ‘Abed Binder 12’, ‘Trumpf’, ‘Mazurka’, ‘Bigo’, ‘I 5’ and ‘Bancroft’ and avirulent on ‘Heils Franken’, ‘Emir’ and ‘Astrix’. Ten pathotypes consisted of a single isolate, four pathotypes had two isolates and one pathotype consisted of five isolates. The possible origin and virulence of P. striiformis pathotypes in central Alberta is discussed in relation to using cultivar resistance for disease control.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".