Bibliographic record
Abstract
用珍汕97B／密阳46构建RIL（recombinant inbred line）群体及其遗传图谱，采用纸培法育苗和培养，以基本营养液为对照（CK），100mg／L Mn^2＋为胁迫处理，用培养20d的幼苗感Mn^2＋指数[（对照苗高-处理苗高）／对照苗高×100]作为评价指标，进行耐Mn^2＋胁迫的主效应和上位性效应QTL检测。结果表明，RIL群体幼苗生长受Mn^2＋胁迫的抑制作用明显，株系间对其胁迫反应差异较大。试验共检测到2个与耐MR^2＋胁迫有关的主效应QTL（qRMC-5和qRMC-6-2），表型贡献率分别为6．03％和6．82％，耐Mn抖胁迫有效基因均来自于父本密阳46。试验还对幼苗耐Mn^2＋胁迫的上位性互作进行分析，检测到5对上位性效应QTL，涉及第1、2、3、6、7、9和10等7条染色体，总表型贡献率达28．69％，表明幼苗耐MR^2＋胁迫的上位性OTL不仅普遍存在，且对耐Mn^2＋有良好的效果。
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".