Secondary Dormancy of a Diverse Collection of Annual Brassica napus L. Genotypes and the Relationship with Seed Germination, Vigour and Quality Traits
Bibliographic record
Abstract
Volunteer canola (Brassica napus L.), defined as canola germinating and emerging after the intended cropping season, is the fourth most occurring weed on the Canadian prairies. The largest contribution of seed into the soil seed bank occurs from pod shatter during maturity and harvest. Gene transfer via pollen flow between different varieties is the major concern with volunteer canola. Gene transfer may result in the stacking of herbicide tolerance types in subsequent volunteer canola populations. Seed dormancy is the physiological mechanism prolonging the presence of viable seed in the soil seed bank. Specifically, canola has a high propensity to be induced into secondary dormancy (SD) under adverse environmental conditions not conducive for germination. Previously screened Canadian commercial material ranged from 0-90% propensity to enter SD. A reduction of SD in modern canola varieties may result in lower seed bank persistence, however, the indirect effect this would have on other seed traits is not known. This study examined a diverse collection of annual B. napus genotypes produced in contrasting maternal environments for SD as well as seed germination, vigour and quality traits. Absolute SD values ranged from 0-77% dormant in the diversity collection screened. Genotype was shown to be the main contributor to the variability in SD observed (50%), the interactions between the genotype and environment had a moderate contribution (30%) and very little contribution from maternal environment alone was observed. Genotypes with low SD were more consistent across maternal environments compared to mid and high SD genotypes. No association was observed between SD and germination time or seed vigour traits in the genotypes examined. A significant positive correlation between SD and total protein content was found (r= 0.34; P < 0.001). Total oil content was negatively correlated to SD (r= -0.24; P < 0.05), likely due to the inverse relationship between oil and protein. From the results in this study, the reduction of SD as a breeding objective in canola breeding programs is feasible as the trait is largely genetically controlled. Likewise, the reduction of SD is unlikely to impact seed germination or vigour traits and SD should not be a large contributor to poor stand establishment of canola.
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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 | 0.001 |
| 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".