Genetic Diversity in Main Parents of Sweetpotato in China as Revealed by ISSR Marker
Bibliographic record
Abstract
摘要: 用ISSR标记分析了中国62份甘薯主要亲本的遗传多样性, 明确了其遗传差异。结果表明, 17个ISSR引物共检测出490条多态性谱带, 平均每条引物检测出28.8条多态性谱带, 说明ISSR标记是评价甘薯遗传多样性的有效途径之一。62份中国甘薯主要亲本遗传距离为0.158~0.924, 平均为0.574, 通过UPGMA法, 可以聚为2大类, 一类为国内自育亲本, 一类为外引亲本, 说明中国甘薯主要亲本遗传多样性较丰富, 其中自育亲本与外引亲本之间遗传距离较远; 亚洲亲本遗传多样性高于非洲和美洲亲本, 并且与其他亲本间遗传距离较远; 亚洲品种中, 中国大陆亲本遗传距离最小, 为0.419, 与来自中国台湾的亲本差异较小, 但与外引亚洲亲本遗传距离较远。因此, 中国在未来甘薯育种中, 可以国内自育亲本与外引亲本以及外引亚洲亲本与外引其他亲本配制组合, 拓宽中国甘薯品种的遗传背景。
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".