Development of a SSR Molecular Marker for Puccinia graminis f.sp. tritici
Bibliographic record
Abstract
【Objective】The objective of this study is to build a simple,quick and accurate molecular technique to detect Puccinia graminis f.sp.tritici and forecast this destructive disease.【Method】A microsatellite-enriched genomic library of Pgt was constructed by using the method of FIASCO.Based on the sequence of Pgt microsatellite,pairs of specific SSR primers were developed and screened.【Result】The primer Pgtfssr1(f/r) generated a polymorphic pattern displaying a 395 bp DNA fragment specific for Pgt,whereas no DNA fragment was obtained in other 24 non-target wheat fungal pathogens.The existence of specific DNA fragment was detected in the infected wheat tissues at 30 h post-inoculation,and the sensitivity of this molecular marker was Pgt DNA template of 1 ng·μL-1.【Conclusion】A specific SSR marker for the detection of wheat stem rust has been successfully developed,which could be used for the early diagnosis and forecast of wheat stem rust.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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".