The Utility of Molecular Markers for Barley Net Blotch Resistance across Geographic Regions
Bibliographic record
Abstract
Molecular marker technology shows potential to select and combine favorable alleles via genotypic selection and can be used to develop improved crop cultivars with considerable resource savings. In the present investigation, the utility of molecular markers for net blotch resistance identified in Australian breeding material was investigated for Canadian breeding material. Screening 42 Canadian, Australian, and international barley (Hordeum vulgare L.) lines with 10 Canadian Pyrenophora teres Drechs. isolates identified three lines resistant to all isolates evaluated. Net‐form net blotch isolates were more virulent than spot‐form net blotch isolates. The strong agreement between seedling and adult‐plant reactions indicated that seedling screening could be useful for selection for adult‐plant resistance. Evaluation of the inheritance of resistance in four Australian populations against Canadian P. teres isolates revealed one to three resistance genes, depending on the isolate used. The majority of Australian barley mapping population parents were susceptible to Canadian P. teres isolates, suggesting markers linked to their resistance may not be useful for Canadian breeding; however, some molecular markers identified by Australian workers could be used for Canadian barley breeding. This study demonstrates that the differences in germplasm and fungal pathogen strains used in different countries result in molecular markers that may not be applicable in all breeding programs for that crop.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".