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Record W2155896892 · doi:10.5376/mpb.cn.2010.01.0002

利用分子标记辅助选择培育和评价三种Bt基因(cry1Ac, cry1C*和cry2A*)抗虫水稻

2010· article· ja· W2155896892 on OpenAlexvenueno aff
刘鑫

Bibliographic record

Venue分子植物育种 · 2010
Typearticle
Languageja
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsCry1AcMathematicsChemistryGenetically modified crops

Abstract

fetched live from OpenAlex

水稻种质9311和辐恢838分别是中国两系杂交水稻和三系杂交水稻的优良的亲本材料。水稻螟虫等鳞翅目虫害使中国水稻(含杂交水稻)严重减产。本研究利用分子标记辅助选择,并结合田间涂抹除草剂等抗虫鉴定,将三种Bt基因(cry1Ac, cry1C*和cry2A*)分别导入9311和辐恢838中,培育出9311和辐恢838遗传背景相似且带有不同抗螟虫基因的水稻新品系。同时,对新材料进行田间抗虫鉴定与农艺性状考察。结果表明,与对照相比,培育的新材料对稻纵卷叶螟具有良好的抗性,并且农艺性状表现良好。

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0050.004
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.006
GPT teacher head0.202
Teacher spread0.196 · 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".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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