Validation of SNP markers associated with ascochyta blight resistance in pea
Bibliographic record
Abstract
Ascochyta blight of pea is an important disease that can cause severe yield loss. Our previous studies identified several closely linked single nucleotide polymorphism (SNP) markers associated with ascochyta blight resistance. The objective of this study was to validate SNP markers in 36 cultivars from the Saskatchewan pea regional variety trial. Ascochyta blight scores ranged from 1.0 to 9.0 at the physiological maturity stage under field conditions across the 25 site–years in Saskatchewan from 2013 to 2017. Based on Kompetitive Allele-Specific PCR assays, six SNP markers were used for an association study. SNP markers RGA-G3Ap103, PsC8780p118, and PsC22609p103 were significantly (P < 0.05) associated with ascochyta blight scores in 2013 and 2016 at Saskatoon. PsC8780p118 was significantly associated with ascochyta blight scores at Milden in 2014 and Rosthern in 2017. Furthermore, RGA-G3Ap103 showed significant association at Milden in 2014. Based on association studies, RGA-G3Ap103 and PsC8780p118 may have some potential as markers for pea breeding.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".