Characterization and mapping of stem rust resistance in McNair 701 winter wheat
Bibliographic record
Abstract
Wheat stem rust, caused by the fungal pathogen Puccinia graminis f. sp. tritici (Pgt), has re-emerged as an important disease of wheat. This pathogen continues to spread and evolve new virulent races. The international letter-code system of nomenclature has been used to pathotype these new emerging races, and gene SrMcN from ‘McNair 701' winter wheat, which is one of the differential lines, was examined in this study. The chromosome and map position of gene SrMcN have not been determined, and thus the objective of this research was to genetically map SrMcN. A doubled haploid population (n = 186) was made from the cross 'LMPG'/'McNair 701' and inoculated with Pgt race QCCJB. The DH population segregated 95 resistant : 91 susceptible lines, which fitted the expected 1 : 1 ratio (χ2 = 0.09, P = 0.77, NS) for a single gene. SrMcN mapped to chromosome 2DL using the 90K iSelect wheat SNP array, and Kompetitive allele specific (KASP) polymerase chain reaction markers located SrMcN to the same position as Sr54 previously found in ‘Norin 40'. Comparison of stem rust seedling reactions using 12 diverse Pgt races indicated that SrMcN and Sr54 had an identical pattern of responses and similar low infection types (from ; to 2−) to races LBBLB, LCBNB and QCCJB. Based on the same chromosomal location on 2DL and identical seedling responses as Sr54 to several races of Pgt with diverse virulence, we assert that the resistance gene in ‘McNair 701' winter wheat previously designated as SrMcN is most likely Sr54.
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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".