Rapeseed genetic research to improve its agronomic performance and seed quality
Bibliographic record
Abstract
Rapeseed (canola) is the major Canadian oilseed and average annual production was 6,871,600 metric t for the 10-year period 1996-2005. Brassica napus is the only species grown, and only summer annual forms are cultivated in the short season areas of the western Canadian prairie. About 70% of the total production is exported, either as seed (50%) or oil (20%). We utilized inter-specific crosses between B. napus and related species to improve the disease resistance and seed quality of B. napus. We produced yellow-seed forms of B. napus from crosses with B. rapa and B. juncea which have higher seed oil content, and lower meal fiber content to improve the feed value of the meal. We also produced germplasm with high oleic/low linolenic acid content to improve the nutritional value of canola oil as well as its technological qualities for use in the production of solid fats without trans fatty acids. The content of saturated fats in canola oil was reduced to less than 5% of total fatty acids. Inter-specific methodology was also successful in the development of B. juncea mustard as an edible oilseed crop with high yield, disease resistance and seed quality for production in the semiarid regions of the Canadian prairie. This paper will describe the crossing approaches used to develop this germplasm and discuss future research activities for canola improvement.
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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".