Resistance to <i>Pyrenophora teres</i> f. <i>teres</i> and <i>P. teres</i> f. <i>maculata</i> in Canadian Barley Genotypes
Bibliographic record
Abstract
The fungi Pyrenophora teres Drechs. f. teres Smedeg. ( Ptt ) and Pyrenophora teres Drechs. f. maculata Smedeg. ( Ptm ) cause the net (NFNB) and spot forms (SFNB) of net blotch of barley ( Hordeum vulgare L.). The reaction of a collection of barley genotypes previously identified as resistant to NFNB and/or SFNB in western Canada was assessed against seven isolates each of Ptt and Ptm . These included isolates recently collected from western Canada plus reference isolates frequently used in resistance breeding programs. Experiments were conducted under greenhouse conditions, with the second and third leaves of each plant rated on disease reaction scales of 1 to 10 ( Ptt ) or 1 to 9 ( Ptm ) 1 wk after inoculation. The NFNB resistance in the cultivars ‘Vivar’ and ‘CDC Helgason’ was overcome by two and four of the Ptt isolates, respectively. ‘AAC Synergy’ was resistant to all Ptt isolates examined, although two caused disease severities of 4.6 and 5.0, suggesting some adaptation to the resistance in this cultivar. The breeding lines TR 253, CI 9819, and TR 236 were the most resistant to Ptt , with average disease severities of almost 3.0. Resistance to SFNB in ‘CDC Meredith’ was overcome by all Ptm isolates tested, while ‘Cerveza’, ‘Major’, and AAC Synergy were resistant to all of the isolates. Among the breeding lines, TR 236 was the most resistant to Ptm , with an average rating score of 3.9. The identification of isolates virulent on cultivars classified as “resistant” highlights the need for integrated disease management approaches to avoid net blotch resistance breakdown in western Canada.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".