Development of PCR‐Based Markers for a High Grain Protein Content Gene from <i>Triticum turgidum</i> ssp. <i>dicoccoides</i> Transferred to Bread Wheat
Bibliographic record
Abstract
Grain Protein Content (GPC) of wheat (Triticum aestivum L. and T. turgidum L.) is important for improved nutritional value and is also one of the major factors affecting breadmaking and pasta quality. A quantitative trait locus (QTL) for high GPC was detected a few years ago in the short arm of chromosome 6B from accession FA15‐3 of Triticum turgidum L. var. dicoccoides New molecular markers are presented here to facilitate the transfer of this high GPC gene into tetraploid and hexaploid wheat cultivars. Two sets of PCR (polymerase chain reaction) primers were designed to amplify regions of the non‐transcribed spacer of the XNor‐B2 locus. This locus was selected because it mapped on the peak of the QTL for GPC. The first pair of allele‐specific primers produced an amplification product only when the T. turgidum var. dicoccoides XNor‐B2 allele was present. The second pair of primers amplified fragment(s) of similar length in the different genotypes that after digestion with the restriction enzyme BamHI allowed differentiation of the T. turgidum var. dicoccoides allele. Four microsatellites markers were mapped on the short arm of chromosome 6B at both sides of the QTL peak and two on the long arm. Five additional amplified fragment length polymorphism (AFLP) markers were mapped into the QTL region on 6BS. These PCR markers together with 10 restriction fragment length polymorphism (RFLP) markers showed that the hexaploid cultivar Glupro, selected for high GPC, carries a distal segment of chromosome 6BL and a proximal segment of 6BS from dicoccoides accession FA15‐3 encompassing the segment with highest LOD score for the GPC QTL.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.002 | 0.001 |
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".