Analysis of combining ability and heterosis in winter oilseed rape Brassica napus L.
Bibliographic record
Abstract
Most rapeseed breeding programs worldwide, have or are switching to hybrid varieties. Therefore, breeders need to obtain more information on the combining ability of inbred lines for hybrid performance across a wide range of environments. With the availability of the 'Ogura' CMS, it is possible to produce large quantities of test cross seeds to conduct multi-location yield trials of 'B. napus' hybrids. In this study nine female [male sterile] and four male [restorer] winter ' B. napus' inbreds were mated in a full North Carolina Design II mating scheme for the production of 36 fully restored F1 hybrids. Hybrids were planted in a total of seven locations in Canada, Germany and France to analyze for general combining ability (GCA) and obtain insight on the specific combining ability (SCA) for grain yield, quality and other important agronomic traits. In a second experiment, hybrids, together with the thirteen parental lines, were planted in two locations in Canada and Germany to estimate the level of heterosis for quality and agronomic traits. (Abstract shortened by UMI.)
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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 | 0.000 |
| 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".