Evaluation of oilseed Brassica napus germplasm for days to flowering under a short-day condition and QTL mapping of the trait
Bibliographic record
Abstract
Canola (Brassica napus, AACC = 2n = 38) is an important oilseed crop in Canada. Among the different agronomic traits, the earliness of flowering and maturity are important for growing this crop on the Canadian prairies. The earliness of flowering can be improved by using the genes/alleles capable of promoting flowering under a short-day condition. In the present study, a genome wide association study (GWAS) was carried out by using SNP marker data and phenotypic data of days to flowering of 184 inbred lines, derived from six B. napus × B. oleracea interspecific crosses, grown under a 10 h photoperiod condition. Three QTL affecting days to flowering under this short-day condition were identified on chromosomes C1, C5 and C9. The effect of the C9 QTL was further confirmed by designing SSR markers from this QTL region and testing the markers on this inbred population. The early flowering C9 QTL allele could also be confirmed through evaluation of a set of B. napus lines under a short-day condition (10 h photoperiod) and genotyping the lines with these SSR markers. Near-isogenic lines (NILs) were also developed in this thesis research for C1 and C9 QTL, which have been mapped previously by using a population derived from Hi-Q × RIL-144 (carrying genome contents introgressed from B. oleracea var. alboglabra). Marker-assisted backcrossing enabled the introgression of these QTL alleles in the genetic background of Hi-Q. This is also evident from phenotypic evaluation of the NILs under a 10 h photoperiod condition where the NILs carrying the C1 or C9 QTL allele of RIL-144 flowered significantly earlier than the NILs carrying the Hi-Q allele. Thus, the results from this study provided evidence for the existence of diverse and valuable alleles in the C genome of B. oleracea which can be exploited in the breeding of B. napus canola.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".