Molecular cytogenetic characterization and stripe rust response of a trigeneric hybrid involving<i>Triticum</i>,<i>Psathyrostachys</i>, and<i>Thinopyrum</i>
Bibliographic record
Abstract
Trigeneric hybrids offer opportunities to transfer alien traits into cultivated wheat. In this study, a new trigeneric hybrid involving species of Triticum, Psathyrostachys, and Thinopyrum was synthesized by crossing Triticum aestivum L. (wheat)--Thinopyrum intermedium (Host) Barkworth & D.R. Dewey amphiploid Zhong 3 with wheat--Psathyrostachys huashanica Keng ex Kuo amphiploid PHW-SA. Crossability of the two amphiploids was 19.74%, and the fertility of the hybrid was 16.20%. The mean meiotic configuration of the trigeneric hybrid (2n=56) was 13.06 I+17.24 IIring+3.73 IIrod+0.28 III+0.04 IV. GISH analysis indicated that the trigeneric F1 had seven P. huashanica chromosomes and seven Th. intermedium chromosomes. The mean chromosome numbers of F2, F3, and F4 progenies were 2n=49.24, 2n=48.13, and 2n=46.78, respectively, a gradual decrease. GISH analysis revealed that most F2 and F3 plants had 2–10 Th. intermedium chromosomes and 0–4 P. huashanica chromosomes. In the F4 progenies, 1–7 Th. intermedium chromosomes were labeled, but no P. huashanica chromosomes were detected. It seems that Th. intermedium chromosomes are more likely than P. huashanica chromosomes to be transmitted to the progenies. The stripe rust response of PHW-SA was expressed in the F1 and some F2 and F3 progenies. The trigeneric hybrid could be a useful bridge for transfering P. huashanica and Th. intermedium chromosomes to common wheat.
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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".