Allelic studies of new sources of scald (<i>Rhynchosporium secalis</i> Davis) resistance in barley
Bibliographic record
Abstract
The use of genetic resistance is a desirable disease management strategy for controlling scald (Rhynchosporium secalis Davis) in barley (Hordeum vulgare L.); thus, it is essential to screen for new sources of resistance. The objectives of this study were to test the novelty of scald resistance in two barley lines from New Zealand, 145L2 and 4176/10/n/3/2/6, relative to a number of resistance sources available to western Canadian breeding programs, and to determine the source of this resistance. 145L2 and 4176/10/n/3/2/6 were resistant in New Zealand and in scald screening nurseries in Alberta, Canada, in 1998. 145L2 was crossed with 4176/10/n/3/2/6 and with four local resistant lines to determine allelic relationships between 145L2 resistance, 4176/10/n/3/2/6 resistance and the resistance(s) in the local lines. To determine the source of the resistance, all H. vulgare L. lines in the pedigree of the New Zealand lines were evaluated in the same nurseries. The resistance gene in 145L2 was not allelic to that in 4176/10/n/3/2/6 or the other barley lines tested. All lines in the pedigree of the two New Zealand lines were susceptible, suggesting that their resistance is derived from unknown parents in their pedigrees. These New Zealand lines provide new sources of scald resistance that can be incorporated into western Canadian breeding lines. Key words: Barley, scald, resistance
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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 | 0.001 | 0.001 |
| 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".