Identifying quantitative trait loci (QTL) associated with lodging resistance in Brassica napus L.
Bibliographic record
Abstract
Brassica napus L. (canola and rapeseed) is the world’s second-largest oilseed crop, and it has significant economic importance to Canadian agriculture. However, lodging in canola is a significant agronomic issue, making maintaining high yield and oil quality in B. napus difficult. Discovering genetic regions associated with lodging resistance is essential to understand the mechanism controlling lodging. In this study, quantitative trait loci (QTL) analysis using the composite interval mapping method (ICIM) was conducted using two different doubled haploid (DH) populations. Genomic regions that govern lodging resistance, flowering date, plant height, and maturity date were successfully identified. Within the two populations (Z/B and L/R, which correspond to chapters three and four), QTLs associated with lodging explained 3.34 to 17.31 % and 5.6 to 11.52 % of phenotypic variation, respectively. QTL for lodging were identified on A01, A03, A05, A07, A10, and C01 in the Z/B population, and on A05, C02, C04, C05, and C07 in L/R population. Co-localization of QTL for lodging (LODG), day-to-flower (DTF), plant height (HT), and day-to-maturity (DTM) were found on A01 in Z/B, while no co-localization of QTL between different traits were observed in L/R. Most QTL identified for lodging were aligned with QTL for stem lignin, stem hemicellulose, branch number, sclerotinia stem rot, plant height, stem diameter, and stem breaking force in previous studies. Several of these QTL identified in this study appeared novel, which could be useful for future breeding programs to enhance lodging resistance in B. napus, resulting in improved yield and oil quality. QTL for lodging identified in the current study with phenotypic variation explained over 10 % were utilized to screen for potential candidate transcripts. Transcripts involved in plant cell wall biosynthesis/ modification, root development, cellulose activities, ethylene, auxin gibberellic acid and brassinosteroid signaling are promising candidate genes.
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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 | 0.000 |
| 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) | 0.001 | 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".