Inheritance and molecular mapping of genes for all-stage resistance to stripe rust in wheat cultivar N. Strampelli
Bibliographic record
Abstract
N. Strampelli, an Italian wheat variety that has been grown in China since 1974, is still resistant to most prevalent Chinese races of Puccinia striiformis f. sp tritici in the seedling stage. To identify genes conferring all-stage resistance to stripe rust, F1, F2, F3 and BC1 seedling progenies derived from the cross N. Strampelli × Mingxian 169 were inoculated with Chinese races CYR29, CYR29-mut3 and CYR31 and those from cross N. Strampelli × Chinese Spring were tested with CYR29-mut3 and CYR33 in the greenhouse. N. Strampelli possessed different recessive genes for resistance to each race. The genes were located on chromosomes 1B and 5B by monosomic analysis. Linkage maps were constructed with three SSR markers, Xgwm499, Xwmc415 and Xwmc537, for the gene on chromosome 5B conferring resistance to CYR29-mut3 (temporarily designated as YrN.S-1) with genetic distance ranging from 5.4 to 10.7cM and four SSR markers, Xcfa2147, Xgwm124, Xwmc719 and Xwmc44, for the gene on chromosome 1B conferring resistance to CYR33 (temporarily designated as YrN.S-2) with genetic distance ranging from 3.2 to 10.3cM. The markers could be useful in pyramiding these resistance genes with others to develop wheat cultivars with high-level and durable resistance to stripe rust.Key words: Puccinia striiformis f. sp. tritici, monosomic analysis, molecular mapping
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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 | 0.001 | 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 | 0.000 |
| 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".