Allelic variation for the high- and low-molecular-weight glutenin subunits in wild diploid wheat (Triticum urartu) and its comparison with durum wheats
Bibliographic record
Abstract
Triticum urartu is a wild diploid wheat identified as donor of the A genome in polyploid wheats. This species could be used as a genetic resource for wheat quality breeding. The HMWGs and B-LMWGs of this species were analysed by SDS-PAGE in 169 accessions from Armenia, Iran, Iraq, Lebanon, the former Soviet Union, and Turkey. Seventeen alleles for the Glu-Au1 locus and 24 for the Glu-Au3 locus were found. The allelic variation was asymmetrically distributed, Turkey being the country where the largest number of alleles was found. Genetic diversity was high, although a great part of this diversity is at risk of erosion given that the distribution of the combinations among the evaluated accessions was not random. Consequently, the loss of these accessions could mean the disappearance of the allelic variants. The alleles found for both loci were different from those detected in cultivated wheats. These results provided new basic knowledge regarding the genetic variability of the seed storage proteins synthesised by the Au genome, as well as their potential to create novel germplasm for quality breeding in wheat programs.
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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 | 0.001 |
| 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) | 0.001 | 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".