Phenotypic Effects of Introgressing Chinese Winter and Resynthesized <i>Brassica napus</i> L. Germplasm into Hybrid Spring Canola
Bibliographic record
Abstract
The seed yields of hybrid spring canola (Brassica napus L.) could be improved by introducing favorable alleles from unadapted germplasm. Two sources of unadapted germplasm, a Chinese winter cultivar, Hua‐dbl2, and a resynthesized B. napus line derived from a cross between B. rapa cv. Reward and rapid cycling B. oleracea L., were crossed to the male parent of a hybrid combination. From both crosses, a segregating population of doubled haploid (DH) lines was created by microspore culture. DH lines were evaluated per se (2 yr in Wisconsin, USA) and in testcrosses to the female parent of the hybrid combination (2 yr in Wisconsin, USA, and 1 or 2 yr in Saskatchewan, Canada). Many of the testcrosses had significantly higher seed yields than the starting hybrid combination in both the Wisconsin and Saskatchewan environments. Some of the testcross lines had significantly higher seed yields than all of the commercial hybrid checks included in the trial. These results indicate that the seed yield of spring canola hybrids may be improved through introgression of novel alleles residing within these unadapted germplasms. The populations developed for this study can be used to map loci for which alleles from the unadapted parent increase seed yield of spring 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| 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".