Virulence phenotypes of<i>Puccinia striiformis</i>in Alberta from 2009–2011
Bibliographic record
Abstract
One hundred and four isolates of Puccinia striiformis were obtained primarily from central Alberta during 2009–2011 from wheat, barley, foxtail barley and triticale. Isolates were identified as P. striiformis f. sp. tritici (Pst) or P. striiformis f. sp. hordei (Psh) based on virulence on differential seedlings. Twenty-five wheat differentials separated 67 Pst isolates into 12 pathotypes, with a single pathotype representing 48% of Pst isolates. Wheat differentials with resistance genes Yr5 and Yr15 were resistant to all 12 pathotypes, while wheat lines with genes Yr1, Yr10, Yr24, Yr28, YrTyee and YrSP were resistant to 80–98% of the isolates. The remainder of the wheat differentials were susceptible to all Pst isolates. Within the 37 Psh isolates, 12 pathotypes were detected based on 12 barley differentials, half of which were previously unreported in Alberta. The two most common Psh pathotypes combined accounted for 46% of the isolates. One half of the Psh isolates may be the result of hybridization between the two formae speciales since they exhibited virulence on a large number of wheat and triticale lines in addition to barley lines. Psh isolates with these virulence factors were more frequently recovered from six-row than two-row barley. For both formae speciales, there was no apparent association between pathotype and location, with pathotypes being widespread and recovered from multiple locations.
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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".