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Record W1042863549

水稻白条叶突变体(st10)的遗传分析与基因定位

2011· article· zh· W1042863549 on OpenAlexvenueno aff
何颖红, 邹国兴, 饶玉春, 胡江, 刘坚, 高振宇, 郭龙彪, 朱丽, Qian Qian

Bibliographic record

Venue分子植物育种 · 2011
Typearticle
Languagezh
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

在水稻甲基磺酸乙酯(Ethylmethane Sulphonate,EMS)诱变突变体库中,发现了一个以粳稻品种日本晴(Nipponbare)为背景的白条叶突变体,该突变体叶片在2-3叶期出现纵向白条的突变性状,此后随着植株的生长逐渐弱化,至抽穗期叶片颜色基本恢复正常,只有叶脉仍呈白色。白条性状受温度影响,高温时性状明显,所有突变个体出现白穗现象。低温条件下,白条较窄,颜色不明显,穗的颜色正常。以培矮64s为母本,突变体st10为父本构建分离群体,遗传分析结果表明该突变性状由一对单隐性核基因控制。利用F2分离群体中突变型植株将目的基因定位在第3染色体短臂上STR19和STR24两个分子标记之间150kb的范围内。本实验测定了24℃、28℃和32℃三个温度条件下的叶绿素含量,发现突变体st10在32℃条件下叶绿素a和叶绿素b的含量减少,28℃、24℃条件下变化不明显。叶绿素荧光数据分析结果显示白条叶突变体的最大量子产额低于野生型。

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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.

Opus teacher head0.088
GPT teacher head0.256
Teacher spread0.168 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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