Broadening of genetic diversity in spring canola (Brassica napus L.) by use of the C genome of Brassica oleracea var. italica and Brassica oleracea var. capitata
Bibliographic record
Abstract
Spring canola Brassica napus L. (AACC, 2n = 38) is one of the major crops in Canada. A decline in genetic diversity in breeding populations is a threat for continued improvement of this crop from a long-term perspective. Genetic diversity in Canadian spring B. napus canola can be broadened through introgression of allelic diversity from its diploid progenitor species Brassica rapa L., Brassica oleracea L., and other allied species of the family Brassicaceae. This M.Sc. thesis research investigated the feasibility of introgression of new alleles from two variants of B. oleracea, viz. B. oleracea var. italica (broccoli) and var. capitata (cabbage) into spring B. napus canola. For this, B. napus × B. oleracea interspecific crosses were made and the F1 plants were self-pollinated for F2 seeds as well as backcrossed to the B. napus parent for backcross (BC1) seeds. The F2 and BC1 populations were self-pollinated for several generations with selection for canola quality traits for the development of euploid B. napus (2n = 38) plants. Plant fertility was poor in early generations; however, it improved with the progression of generation. Flow cytometric analysis for nuclear DNA content showed that the majority of the advanced generation plants were similar to the B. napus parent. Segregation for erucic acid and glucosinolate contents was found in all populations where selection for zero erucic acid and low glucosinolate content led to the development of canola quality lines in advanced generation. Estimation of genetic diversity in F4 and BC1F3 populations by the use of simple sequence repeats (SSR) markers showed that B. oleracea alleles introgressed in the progeny derived from B. napus × B. oleracea crosses. Thus, the results from this study demonstrated the viability of introducing alleles from broccoli and cabbage into spring B. napus canola.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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".