Identification of a quantitatively inherited source of <i>Hordeum bulbosum</i> derived scald resistance from barley line 926K2/11/1/5/1
Bibliographic record
Abstract
Scald resistance breeding requires identification and incorporation of novel resistance sources into local breeding populations. A New Zealand barley Hordeum vulgare L.) line (926K2/11/1/5/1) was evaluated in scald [Rhynchosporium secalis (Oud.) J.J. Davis] nurseries at Lacombe and Edmonton, Alberta, Canada, as a potential source of scald resistance derived from H. bulbosum. Primary objectives were to evaluate the level of resistance in 926K2/11/1/5/1 under Canadian conditions and determine its mode of inheritance. In western Canadian nurseries, 926K2/11/1/5/1 exhibited moderate resistance. 926K2/11/1/5/1 was crossed with the scald-susceptible cultivar CDC McGwire and resulting progeny (F2 and F4:5 recombinant inbred lines) were tested for normality of disease reaction distribution, and were used to estimate the number of effective factors controlling the resistance. F1 plants expressed an intermediate scald reaction compared with the parents. F2 and F4:5 data were normally distributed. Estimation of the number of effective factors using the Castle-Wright formula indicated that resistance from 926K2/11/1/5/1 is quantitatively inherited, but controlled by relatively few genes. The moderate scald resistance in 926K2/11/1/5/1 is an additional resistance source plant breeders can utilize. Key words: Barley, scald, quantitative resistance, Hordeum bulbosum
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".