Molecular and cytogenetic characterization of a small alien-segment translocation line carrying the softness genes of <i>Haynaldia villosa</i>
Bibliographic record
Abstract
The wheat-alien small segment translocation (SAST) lines carrying the beneficial genes from wild species are useful genetic stocks for wheat improvement. In this study, to introduce the grain hardness-related genes of Haynaldia villosa (L.) Schur. into common wheat (Triticum aesitivum L.), the mature female gametes of whole-arm wheat--H. villosa translocation line T5VS·5DL was irradiated by 60CO-γ ray to develop SAST lines involving 5VS. Among the BC2F2 population, six homozygous SAST lines with different fragment sizes of 5VS were identified by GISH, and the exact fragment sizes were further defined using four 5VS-specific markers and four Ha gene-based markers. The results showed that five lines (NAU5VS-1 to NAU5VS-5) carried the softness gene Dina/Dinb of H. villosa, and that NAU5VS-5 had the smallest alien translocation segment, identified to be a 5VS-6AS·6AL terminal translocation. The translocation chromosome 5VS-6AS·6AL was proved to be stably inherited to the successive generations. In the BC3F2 generation, the individuals having the homozygous 5VS-6AS·6AL translocation chromosomes all showed soft grain texture, with an approximately 50% reduction in the SKCS hardness index compared with that of their backcrossing parent. Both the 5VS-6AS·6AL translocation line and the molecular markers developed in this study will be valuable in wheat breeding for soft grain quality improvement.
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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".