Phenotypic Effects of Introgressing French Winter Germplasm into Hybrid Spring Canola
Bibliographic record
Abstract
Introgression of winter germplasm into spring oilseed Brassica napus L. represents a novel approach to broaden its genetic base and potentially boost seed yields of hybrid cultivars. To determine the potential usefulness of this approach, two large populations of segregating doubled haploid (DH) lines were developed by crossing germplasm derived from two French winter cultivars with a male parent of a hybrid combination. These lines were evaluated per se (2 yr in Wisconsin, USA) and in testcrosses with a spring canola line used in commercial canola hybrids (2 yr each in Wisconsin, USA, and Saskatchewan, Canada). Thirty percent of the hybrids significantly (P < 0.05) out‐yielded the mean of commercial hybrids included in each trial. In addition, many hybrids significantly out‐yielded the starting hybrid combination, especially in the Canadian environments. Earlier flowering DH lines and hybrids tended to have higher yields, as indicated by the highly significant (P < 0.01) negative correlations between seed yield and days to flowering in most trials. The results of this study illustrate that introgression of these winter germplasms can improve seed yield in spring canola hybrids. These populations will be useful for identifying genes that affect seed yield of canola hybrids.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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".