Molecular cytogenetics identification of a wheat – <i>Leymus mollis</i> double disomic addition line with stripe rust resistance
Bibliographic record
Abstract
Leymus mollis (Trin.) Pilg. (2n = 4x = 28, NsNsXmXm) possesses a number of valuable genes against biotic and abiotic stress, which could be transferred into common wheat background for wheat improvement. In the present study, we determined the karyotypic constitution of a wheat – L. mollis double disomic addition line, M11003-4-4-1-1, selected from the F5 progeny of a stable wheat – L. mollis derivative M39 (2n = 56) × Triticum aestivum cultivar 7182, by morphological and cytogenetic identification, GISH (genomic in situ hybridization), FISH (fluorescent in situ hybridization), molecular markers analysis, and stripe rust resistance evaluation. Cytological studies demonstrated that M11003-4-4-1-1 had a chromosome karyotype of 2n = 46 with 23 bivalents, while GISH and FISH analysis indicated that this line contained 42 common wheat chromosomes and two pairs of L. mollis chromosomes. DNA markers showed that the alien chromosomes from L. mollis belonged to homoeologous groups 5 and 6. Evaluation of the agronomic traits revealed that M11003-4-4-1-1 was resistant to stripe rust at the adult stage, while the plant height was reduced and the 1000-grain weight was increased significantly. Therefore, the new line M11003-4-4-1-1 could be exploited as an important bridge material in chromosome engineering and wheat breeding.
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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".