Plot-to-plot, row-to-row and plant-to-plant outcrossing studies in oilseed rape
Bibliographic record
Abstract
Unidirectional outcrossing rates were assessed between neighboring plots, rows (spaced 40, 80 and 120 cm apart) and plants of oilseed rape (Brassica napus L.) grown in simulated plant breeding field trials, using the transgenic dominant bromoxynil herbicide resistance gene as a marker. Bromoxynil susceptible (pollen recipient) plots, rows and plants were planted in the field and surrounded by bromoxynil-resistant plots, rows and plants, respectively. The field trials were conducted at Winnipeg, Carman, and Portage la Prairie, Manitoba, in 1996 and 1997. Seed produced on the susceptible plots and rows was harvested and then planted in the field the following year with all emerged seedlings sprayed at 750 g a.i. ha–1 bromoxynil to identify resistant individuals. Approximately 420 000 seedlings were screened in 1997 and 1998 with 23 816 resistant individuals identified, each resistant individual being the result of an outcrossing event. The overall mean plot-to-plot outcrossing rate was 4.0% (± 0.23). The overall mean row-to-row outcrossing rate was 9.5% (± 0.62) for the 40-cm row spacing, 5.6% (± 0.37) for the 80-cm row spacing and 3.9% (± 0.25) for the 120-cm row spacing. For the plant-to-plant trials, seed produced on the susceptible plants was harvested and then a sample was planted in the greenhouse with all emerged seedlings sprayed at 560 g a.i. ha–1 bromoxynil to identify resistant individuals. The overall mean plant-to-plant outcrossing rate was 21.0% (± 1.73). Outcrossing rates of this magnitude have significant implications for all oilseed rape breeding programs. Methods to minimize outcrossing are discussed. Key words: Brassica napus L., outcrossing rates, transgenic dominant bromoxynil resistance marker
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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 | 0.001 | 0.001 |
| 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) | 0.000 | 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 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".