Mapping the mosaic of ancestral genotypes in a cultivar of oilseed rape (<i>Brassica napus</i>) selected via pedigree breeding
Bibliographic record
Abstract
Recent oilseed rape breeding has produced low glucosinolate cultivars that yield proteinaceous meal suitable for animal feed. The low glucosinolate character was introduced into modern cultivars from Brassica napus 'Bronowski', a cultivar that is agronomically inferior in most other respects. Residual segments of 'Bronowski' genotype in modern cultivars probably cause reduced yield, poorer winter hardiness, and lower oil content. The quantity and distribution of the 'Bronowski' genotype in the modern oilseed rape cultivar Brassica napus 'Tapidor' was investigated using a segregating population derived from a cross between 'Tapidor' and its high glucosinolate progenitor. This population was analyzed with 65 informative Brassica RFLP probes and a genetic linkage map, based on the segregation at 77 polymorphic loci, was constructed. The mapping identified 15 residual segments of donor genotype in 'Tapidor', which together occupy approximately 29% of the B. napus genome. Mapping the loci that control variation for the accumulation of total seed glucosinolates in the segregating population has identified three loci that together explain >90% of the variation for this character. All of these loci are in donor segments of the 'Tapidor' genome. This result shows the extent to which conventional breeding programmes have difficulty in eliminating residual segments of donor genotype from elite material.
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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".