Bibliographic record
Abstract
本研究利用简单重复序列(simple sequence repeats,SSR)荧光标记毛细管电泳技术,对476份甘蓝型油菜核心种质和163份国家冬油菜新品种区试材料进行了遗传多样性分析,以期为甘蓝型油菜品种的选育和创新提供理论依据。结果显示:32对SSR引物共检测到106个等位变异,平均每个位点3.12个,变幅2~6个,平均多样性指数0.46,平均杂合度0.22,平均多态性信息含量(polymorphism information content,PIC)为0.38,说明参试材料具有丰富的遗传多样性。区试材料杂合度极显著高于核心种质,且有9个特有等位变异;区试材料的常规品种各项遗传多样性指标都低于杂交品种。四大洲之中亚洲材料遗传变异最丰富,有11个特有等位变异。中国材料整体遗传多样性略高于国外材料。除了平均多样性指数和平均PIC这两项指标,三种生态类型材料之中其余遗传多样性指标最高的是半冬性材料,五个时期材料之中则是21世纪材料的其余指标最高。21世纪半冬性油菜遗传变异比20世纪半冬性油菜丰富。不同大洲、不同生态类型和不同时期材料之间的杂合度差异均达到极显著。分子方差分析(analysis of molecular variance,AMOVA)结果表明,参试的甘蓝型油菜各个群体内变异均占总体变异的主体部分,为88%~97%;尽管群体间的差异所占比例小,但是仍达到极显著水平。
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".