Bibliographic record
Abstract
本研究的目的是确定豌豆F1和F2代的6个相对性状的遗传和连锁关系，并在F3代中选择高产抗白粉病株系。选择两个近等基因系Fallon^ER和11760-3^ER进行杂交，得到的F2代的性状分离比均为3：1，这符合χ^2（p〉0．07）适合度检测，表明是单基因遗传。花色和种子颜色与花青素关联的似然比分别为44．31和34．91，每个叶片中小叶数目和卷须类型关联的似然比为33．21。这三个关联的质量性状在P〈0．00具有非常显著的相关性，但与白粉病性状均不相关联。选择R代的4个与产量密切相关的数量性状进行研究，发现总荚重和种荚比分别具有49．77％和20．01％的最高变异系数。相关性研究发现，总荚重与籽粒重量、荚宽、荚长和种荚比呈显著正相关。荚长与种荚比呈显著正相关。根据数量性状值和白粉病抗性表现，选择GN070140-2，GN070143-1和GN070140-0三个株系作为以后的栽培品种。
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.017 | 0.003 |
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".