Development and Validation of Markers Closely Linked to Crown Rot Resistance in Wheat and Barley
Bibliographic record
Abstract
Crown rot (CR), caused by various Fusarium species, is a chronic cereal disease in Australia and many other parts of the world. As part of our objective of improving the efficiency of breeding CR-resistant wheat and barley varieties, we have been searching for novel sources of resistance and identifying new genes conferring CR resistance in the two crops. This paper reports onthe development of more closely linked markers and validation of the effects of the previously identified wheat 3B CR quantitative trait loci (QTL) and the barley 3H major CR locus using four wheat and three barley validation populations. With an effect varied from 36.7 to 59.4% in wheat and 29.4 to 55.2% in barley, the validation experiments demonstrated that both of the 3B and 3H CRlocus have a stable and significant effect in reducing CR severity at different genetic backgrounds. The huge effect of a single QTL asthe CR loci detected in this study warrant a significant value of incorporating these two genes in wheat and barley breeding. Thepossible homoeologous relationship between these two major CR loci is preliminarily investigated by comparative mapping the twogenomic regions and it warrants further investigation.Keywords Wheat; Barley; Crown rot; Validation; Com
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".