Evaluation of Advance Wheat Lines for Slow Yellow Rusting (Puccinia striiformis f. sp. Tritici)
Bibliographic record
Abstract
Stripe rust (yellow rust), caused by Puccinia striiformis f. sp. tritici is one of the most damaging diseases ofwheat in Pakistan. Lack of durable resistance in local wheat varieties is the main reason for stripe rust epidemicwhich could limit yields. The use of genetically resistant wheat varieties is the most economic way of controllingthe disease. Evaluation of 135 advance wheat lines for slow yellow rusting was conducted during croppingseason 2008-2009 under natural epidemics at field locations of Ayub Agriculture Research Institute, Faisalabadand Cereal Crops Research Institute, Pirsabak (Northwest), Pakistan. Resistance level based on final diseaseseverity (FDS) along with other slow rusting parameters relative area under disease progress curve (rAUDPC)and relative infection rate (RIR) was assessed. A total of 25 wheat lines were identified to potentially havedurable resistance with low frequency of disease severity (10-30%) and lower relative AUDPC values (2-66%).Based on the slowing rusting data, RAPD (random amplified polymorphic DNA) primers were used in order toevaluate genetic diversity among 25 lines. Of 20 OPA (Operon series) primers tested, 4 (20%) primers werepolymorphic that showed amplification differences among 25 genotypes. OPA-06 and OPA-04 revealed thehighest polymorphism (67% and 50%) while OPA-02 and OPA-17 exhibited the lowest polymorphism (33% and25%) respectively. From the amplification profile, a total of five RAPD markers were obtained in this study. Asimilarity matrix data depicted that most of these genotypes are genetically very close (60-100%). The 25advance lines identified from slow rusting evaluation with five RAPD markers may have partial resistance genesand can be used as slow yellow rusting lines with longer field life in Pakistan breeding program.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".