Major QTLs for seedling traits in barley using a DArT-based linkage map
Bibliographic record
Abstract
Abstract Seed vigor is considered as the most critical stage for barley production, and cultivar with high early seedling vigour (ESV) allow plants to form a canopy more quickly. In this study, the QTLs of seedling vigour related-traits were investigated using 185 RILs derived from Xena and H94061120 using DArT approach. In total, 46 significant QTLs for ESV related-traits were detected. The total map length was 1075.1 cM with an average adjacent-marker distance of 3.28 cM. Fourteen QTLs for BY were found on all chromosomes, two of them co-located with QTLs on 1H for GY. The related-traits; LL1, LL2, LA1 and LDW1 had high heritability (>60%). Meanwhile, a significant correlation was observed between GY and BY, which provide the clear image of these traits in the selection process. Our results demonstrate that a pleiotropic QTL related to SLA2, BY, and GY was linked to to the DArT markers bPb-9280 and bPb-9108 on 1H, which could be used to significantly improve the seed vigor by marker-assisted selection and possible future map-based cloning of the gene of intrest.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".