Identification of QTL and alleles for agronomic and seed quality traits in C genome using a <i>Brassica napus</i> population diversified with <i>B. oleracea</i>
Bibliographic record
Abstract
Abstract A genome‐wide association study (GWAS) was carried out by using a Brassica napus population of 175 lines, developed from six B. napus × B. oleracea interspecific crosses, and 5,743 single nucleotide polymorphism (SNP) markers to identify quantitative trait loci (QTL) for agronomic and seed quality traits and to understand the effect of B. oleracea alleles on these traits. Heritability of these traits varied from 52.9 to 84.1%. About 79% of the SNPs were positioned to the nine C genome chromosomes, while only 21% to the 10 A genome chromosomes; this was largely due to little genetic variation in the A genome of this population, as expected. However, the SNPs were distributed throughout the entire length of the chromosomes suggesting their usefulness in GWAS. The C genome SNPs detected nine genomic regions affecting these traits. This included the genomic regions of C2 and C5 affecting days to flowering, C1 affecting the duration of grain‐filling period, C1, C5, and C8 affecting oil content, and C1, C2, and C6 affecting glucosinolate content; among these, some of the loci has not been reported previously. The QTL alleles of B. oleracea which can be beneficial in oilseed B. napus , such as the C5 QTL allele for the earliness of flowering, were also identified. Several putative candidate genes were identified in the QTL regions. Thus, the results provided evidence of the utility of the B. oleracea gene pool for use in unveiling the unidentified QTL in B. napus as well as its use in breeding.
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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 | 0.000 |
| 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".