Bibliographic record
Abstract
甘蓝型油菜细胞核雄性不育是杂种优势利用的重要途径。隐性上位互作核不育系9012A已经广泛用于杂交种子生产,其不育性受两对隐性重叠不育基因（ms1和ms2）与一对隐性上位抑制基因（rf）互作控制。ms1和ms2同时纯合（ms1ms1ms2ms2）表现不育,但隐性纯合rf（rfrf）对ms1ms1ms2ms2的表达起抑制作用,又可使其表现可育（TAM系,ms1ms1ms2ms2rfrf）。本研究利用AFLP和SRAP分子标记技术,分别筛选了884对AFLP引物和506对SRAP引物,筛选到了14个与不育基因Ms1基因紧密连锁的标记,其中4个标记与育性共分离。Ke等发表的AFLP标记E-ACA/P-CTG在本研究群体中与Ms1基因相距0.1cM。紧密连锁标记测序序列BLASTN结果表明,其和拟南芥第五染色体高度同源,并且通过和已测序的甘蓝C基因组序列进行比对,将其定位在C9染色体的末端。本研究结果有助于该基因的分子标记辅助选择和克隆。本文还对前人发表的与Ms1基因连锁的标记在本研究群体中的分离情况作了探讨。
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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".