Development of S allelle diagnostics for hybrid canola (Brassica napus L.) breeding program
Bibliographic record
Abstract
Dominant self-incompatibility (SI) haplotypes, introgressed from 'Brassica rapa', have been used at the University of Guelph to produce hybrid 'B. napus' canola. In this study, PCR markers were developed to amplify specific alleles of the S locus glycoprotein gene of SI haplotypes from 'B. napus' genomic DNA. The roles of these markers in hybridity assessment, as tools within the SI 'B. napus ' breeding program, and in studies of the expression of SI in ' B. napus' were considered. Use of these markers for hybridity assessment in 'B. napus', which has two independently segregating S loci, has implications for hybrid design. Analysis of segregating F2 populations containing one or two SI haplotypes revealed: (1) evidence of introgression of a SI haplotype into the homeologous S locus; (2) the presence of modifier loci affecting the expression of SI phenotypes; and (3) a gametophytic influence on transmission of male gametes in crosses.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".