Analysis of relationships between molecular distances and heterosis of F1 performance in Brassica napus L.
Bibliographic record
Abstract
Genetic diversity among 38 oilseed rape (Brassica napus L.) cultivars originated from China, European and Canada were evaluated using random amplified polymorphic DNA (RAPD) markers. Nine representative cultivars and their 36 F1 hybrids, obtained by half diallel cross design, were used to analyze the relationship between molecular distances and yield heterosis. The results showed that 97 polymorphic bands were obtained from 18 RAPD primers, and cluster analysis classified these 38 cultivars into 4 clear-cut groups. Correlation analysis indicated that genetic distance was no significant positive correlation with mid-parent heterosis (MP), over-parent heterosis (HP) and yield per plant among 36 F1 combinations. However, when dividing them into 10 combination types according to dendrogram of parents, it was revealed that genetic distances were highly significantly correlated with MP (r=0.789, P <0.01), HP (r=0.659, P <0.05), respectively, and there was also positive correlation between yield per plant and HP at P<0.05 level. In addition, most China/European F1 hybrids had more visible heterosis and higher yield performance than other combination types, especially in those produced from China/European-spring crosses. Dissection of yield heterosis for the top 10 F1 hybrids disclosed that 9 and 8 combination exhibited the positive heterosis of siliques per plant and 1 000- seeds mass, respectively, while 4 combination showed complementary relationships between seeds per silique and 1 000-seeds mass. These results indicate that it is not sufficient to accurately predict heterosis and yield performance alone according to molecular distance between parental lines. It is more possible to achieve successful F1 hybrids in China/European crosses. Comprehensively considering heterosis, yield performance, seed quality and growth habit, it might be prior suggested to choose spring type rapeseed cultivars from European or Canada as parental or breeding materials in rapeseed hybrid developments in China. In addition, the combination types of the significantly positive heterosis of siliques per plant and 1 000-seeds mass, or strong complementary heterosis between seeds per silique and 1 000-seeds mass were recommended to obtain high yield of F1 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) | 0.000 | 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".