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Record W779994955

利用分子标记辅助选择聚合Pi9(t)和Xa23基因

2007· article· zh· W779994955 on OpenAlexvenueno aff
倪大虎, 易成新, 杨剑波, 汪秀峰, Yi Zhang, 章琦, 王春连, 赵开军, 王文相, Li Li

Bibliographic record

Venue分子植物育种 · 2007
Typearticle
Languagezh
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyGenetics
DOInot available

Abstract

fetched live from OpenAlex

利用分子标记辅助选择将广谱高抗稻瘟病的只蛳)基因和全生育期高抗白叶枯病的Xα23基因聚合到同一优良株系中,获得了含双基因的优良株系L10-L13。用来自不同地区的20个稻瘟病小种和中国流行的7个白叶枯病小种及安徽白叶枯病小种对聚合株系进行接菌鉴定,结果显示:聚合Pi9(t)和Xα23基因的株系L10-L13同时抗稻瘟病和白叶枯病:与稻瘟病的供体亲本75—1-127相比,抗性水平相当,均达抗级(R)水平,且抗谱相同;与白叶枯病的供体CBB23相比,对白叶枯病的抗性时期一致,均表现为全生育期抗性,而且抗性水平和抗谱相似。通过田间农艺性状的筛选,获得的双基因聚合系具有较好的农艺性状,可直接应用于生产或作为抗性亲本。

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.960
Threshold uncertainty score1.000

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.009
GPT teacher head0.215
Teacher spread0.206 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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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