Bibliographic record
Abstract
本研究以柱型苹果＂鲁加6号＂试管苗叶片外植体为转化材料,以卡那霉素抗性基因为选择标记,建立了根癌农杆菌介导的柱型苹果＂鲁加6号＂苹果的遗传转化体系。研究结果表明：在MS＋6-BA4.0mg/L＋NAA0.05mg/L培养基上,叶片不定芽分化阶段Km的选择压力为20mg/L,不定芽生根阶段Km的选择压力为15mg/L,脱菌培养阶段头孢霉素的适宜浓度为300mg/L。在农杆菌介导的遗传转化过程中,外植体经过36h预培养,侵染10min,共培养48h时,有利于提高遗传转化效率,获得的抗性愈伤组织和抗性芽数均最高。获得的Km抗性植株经PCR检测,扩增出特异条带,初步证明目的基因已整合到苹果基因组DNA中。
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".