Bibliographic record
Abstract
应用SRAP和SSR技术,对黄瓜种子高含油量品系Ma7与低含油量品系M6杂交组合的F2群体进行检测,获得102个分子标记,构建了7个连锁群组成的分子标记遗传图谱;图谱总长764cM,标记间平均长度7.49cM。应用Windows QTL Cartographer2.5对种子含油量性状进行QTL扫描,在2009年秋季获得4个QTL位点,分别位于LG1、LG2和LG5连锁群,联合贡献率为32.7%。在2010年春季季获得5个QTL位点,分别位于LG1、LG2、LG5和LG6连锁群,联合贡献率为35.4%。通过对比春秋两季不同环境下的QTL位点发现,SOC_SP02和SOC_FA01分别位于LG1的74.7cM和72.2cM处,两位点相距2.5cM。此外,SOC_SP03和SOC_FA03两个微效QTL也存在部分的重叠,重叠区域为1.67cM,重叠的区间位于分子标记ME7OD17a和ME3EM8之间。另外,还估算了单个QTL的加性效应和显性效应,9个QTL的遗传效应均以加性效应为主。结果表明,对于种子油含量性状的等位基因增效作用既来自母本,又源自父本。
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".