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Record W1525208350

水稻幼苗对多浓度Fe^2+胁迫的QTL联合检测

2007· article· zh· W1525208350 on OpenAlexvenueno aff
叶红霞, 李梅, 庄杰云, 沈圣泉

Bibliographic record

Venue分子植物育种 · 2007
Typearticle
Languagezh
FieldAgricultural and Biological Sciences
TopicPlant Micronutrient Interactions and Effects
Canadian institutionsnot available
Fundersnot available
KeywordsQuantitative trait locusBiologyGeneticsGene
DOInot available

Abstract

fetched live from OpenAlex

用珍汕9713/密阳46的RIL作图群体,以基本营养液培养为对照(CK),设2种Fe^2+扣(160mg/L和240mg/L)作为胁迫处理,以处理20d的幼苗相对苗高(%)(处理苗高/对照苗高×100%)作为幼苗耐Fe^2+胁迫程度的评价指标,进行2个环境的QTL联合检测分析。结果表明,RIL群体株系间对Fe^2+胁迫反应差异较大,明显出现超亲分离。共检测到4个耐Fe^2+胁迫的主效QTL,即qTFS-1-1、qTFS-3、qTFS-6和qTFS-9,分别位于第1、3、6和9染色体上,可解释14.96%的表型变异,它们与Fe^2+胁迫浓度并无显著的GxE互作,表明这4个耐性基因在不同浓度Fe^2+胁迫处理下,均可稳定表达。试验还检测到3对耐Fe扣胁迫的加性×加性上位性互作,共可解释7.16%的表型变异,涉及第1、2、7、9、12等5条染色体,该3对上付件互作与Fe^2+不同浓唐胁迫处珲也无显著GxE互作。

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.726
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.003

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.

Opus teacher head0.017
GPT teacher head0.236
Teacher spread0.219 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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