Regional association analysis delineates a sequenced chromosome region influencing antinutritive seed meal compounds in oilseed rapeThis article is one of a selection of papers from the conference “Exploiting Genome-wide Association in Oilseed Brassicas: a model for genetic improvement of major OECD crops for sustainable farming”.
Bibliographic record
Abstract
This study describes the use of regional association analyses to delineate a sequenced region of a Brassica napus chromosome with a significant effect on antinutritive seed meal compounds in oilseed rape. A major quantitative trait locus (QTL) influencing seed colour, fibre content, and phenolic compounds was mapped to the same position on B. napus chromosome A9 in biparental mapping populations from two different yellow-seeded × black-seeded B. napus crosses. Sequences of markers spanning the QTL region identified synteny to a sequence contig from the corresponding chromosome A9 in Brassica rapa. Remapping of sequence-derived markers originating from the B. rapa sequence contig confirmed their position within the QTL. One of these markers also mapped to a seed colour and fibre QTL on the same chromosome in a black-seeded × black-seeded B. napus cross. Consequently, regional association analysis was performed in a genetically diverse panel of dark-seeded, winter-type oilseed rape accessions. For this we used closely spaced simple sequence repeat (SSR) markers spanning the sequence contig covering the QTL region. Correction for population structure was performed using a set of genome-wide SSR markers. The identification of QTL-derived markers with significant associations to seed colour, fibre content, and phenolic compounds in the association panel enabled the identification of positional and functional candidate genes for B. napus seed meal quality within a small segment of the B. rapa genome sequence.
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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 | 0.001 | 0.001 |
| 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".