Identification of novel loci regulating dormancy in barley and association with hypoxia sensitivity
Bibliographic record
Abstract
Abstract Low seed dormancy is an essential trait in malting barley since malting involves rapid and uniform induction of germination. At least two major QTLs on chromosome 5H, SD1 and SD2, regulate dormancy in multiple barley populations, and additional genetic regions are thought to be involved. To identify novel genetic loci that might be associated with dormancy, a panel of genotypes from diverse agro-ecosystems were evaluated alongside two Canadian biparental populations for germination rate. Association mapping revealed QTLs within the SD1 and SD2 loci in the Canadian populations, while neither of these loci were linked to dormancy in the diversity panel. The diversity panel identified 14 additional marker-trait associations, including novel genetic loci. An alanine aminotransferase ( AlaAT1 ) underlies dormancy regulation at the SD1 allele and is thought to help mitigate the suppressive effects of hypoxia on respiration during grain fill. Additional testing with four genotypes carrying either dormant or non-dormant AlaAT1 alleles revealed that dormant alleles had increased hypoxia sensitivity and hypoxia-responsive gene expression during grain fill. Together, this work indicates that multiple genetic regions influence dormancy and suggests that hypoxia influences dormancy establishment in barley. Highlight Dormancy is regulated by distinct genetic regions in North American barley compared to African barley. The SD1 locus influences dormancy in North American lines and genotypes with the dormant SD1 allele are more sensitive to hypoxia.
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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 | 0.000 |
| 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".