Molecular and Cytogenetic Characterization of Wheat Introgression Lines Carrying the Stem Rust Resistance Gene <i>Sr39</i>
Bibliographic record
Abstract
The stem rust ( Puccinia graminis Pers.:Pers. f.sp. tritici Eriks. and Henn.) resistance gene Sr39 , which confers resistance to TTKSK (Ug99), has been incorporated into the wheat ( Triticum aestivum L.) genome from Aegilops speltoides in the form of a chromosome translocation but it has not been deployed into adapted cultivars. In this study, we characterized translocation lines carrying Sr39 in four different wheat backgrounds with fluorescent genomic in situ hybridization (GISH) and simple sequence repeat (SSR) markers. The results indicated that RL5711 and RL6082 had translocation chromosomes of comparable structure. The translocation chromosome in PI 600683 has lost Ae. speltoides chromatin in the telomeric end of the 2S long arm. Six translocation lines derived from the cross PI 600683/3*HY438 had translocation chromosomes of comparable structure to the one found in PI 600683. However, one line (P9714‐AM03C51), showed a substantial reduction in Ae. speltoides chromatin in the short arm of the translocated chromosome. The study demonstrated that it is apparently feasible to shorten Ae. speltoides chromatin in some wheat‐ Ae. speltoides translocation lines. These results and the identification of diagnostic SSR markers will be useful in guiding chromosome manipulation efforts to further shorten the Ae. speltoides chromosome segments in these materials. Greenhouse inoculation of translocation lines with stem rust indicated that the Sr39 gene conditions resistance to at least seven stem rust races.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".