Breeding Sclerotinia sclerotiorum Resistant Brassica napus L.by Using Wild Brassica oleracea with the Analysis of Resistance and Molecular Marks
Bibliographic record
Abstract
茵核病是甘蓝型油菜最严重的病害之一,自身抗性低,而甘蓝野生资源中存在高抗遗传资源.以部分抗性的甘蓝型油菜中双9号和高抗性的甘蓝野生资源为亲本杂交得到F1 (ACC),F1连续用中双9号回交6代,得到育性基本恢复正常植株自交,培育成了高抗茵核病材料,命名为F6.染色体计数显示,F6有38条染色体,和甘蓝型油菜(AACC,2 n=38)一致.茵核病抗性鉴定实验结果说明F6对茵核病的抗性高于中双9号而弱于甘蓝.通过在亲本和子代间比较229个分布于甘蓝型油菜19个遗传连锁群的SSR分子标记以及16个与甘蓝抗茵核病特异性位点有关的SSR分子标记,发现甘蓝抗茵核病主要特异性区段9号连锁群已渗入甘蓝型油菜基因组中.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".