Bibliographic record
Abstract
人工合成小麦综合了自然界中现有四倍体小麦（Triticum turgidun）和粗山羊草（节节麦,Aegilops tauschii）的丰富遗传变异,是将野生祖先种中优异的抗病、抗逆基因成功利用到普通小麦育种中的重要桥梁。源于粗山羊草的高分子量谷蛋白（HMW-GS）Dtx1.5亚基,是一种新的优质亚基。本研究对HMW-GSDtx1.5亚基AS-PCR反应体系及扩增程序进行了逐步的优化,并利用普通小麦川育12与人工合成小麦Syn780（含有Dtx1.5亚基）杂交F2代（低代）和F9重组自交系（高代）群体对Dtx1.5亚基的遗传规律进行了分析。结果表明：优化后目的扩增条带清晰、稳定、可靠,可以用于Dtx1.5亚基的分子鉴定;Dtx1.5亚基在普通小麦与人工合成小麦杂交的低代和高代群体中的分布都符合孟德尔分离定律,说明源于粗山羊草的Dtx1.5亚基能在小麦遗传背景下遗传稳定,传递正常,可用于小麦品质育种。
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.005 |
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".