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Record W3142127688

甘蓝型油菜核心种质和新品种(系)的SSR等位变异分析

2015· article· zh· W3142127688 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venue分子植物育种 · 2015
Typearticle
Languagezh
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolism and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

本研究利用简单重复序列(simple sequence repeats,SSR)荧光标记毛细管电泳技术,对476份甘蓝型油菜核心种质和163份国家冬油菜新品种区试材料进行了遗传多样性分析,以期为甘蓝型油菜品种的选育和创新提供理论依据。结果显示:32对SSR引物共检测到106个等位变异,平均每个位点3.12个,变幅2~6个,平均多样性指数0.46,平均杂合度0.22,平均多态性信息含量(polymorphism information content,PIC)为0.38,说明参试材料具有丰富的遗传多样性。区试材料杂合度极显著高于核心种质,且有9个特有等位变异;区试材料的常规品种各项遗传多样性指标都低于杂交品种。四大洲之中亚洲材料遗传变异最丰富,有11个特有等位变异。中国材料整体遗传多样性略高于国外材料。除了平均多样性指数和平均PIC这两项指标,三种生态类型材料之中其余遗传多样性指标最高的是半冬性材料,五个时期材料之中则是21世纪材料的其余指标最高。21世纪半冬性油菜遗传变异比20世纪半冬性油菜丰富。不同大洲、不同生态类型和不同时期材料之间的杂合度差异均达到极显著。分子方差分析(analysis of molecular variance,AMOVA)结果表明,参试的甘蓝型油菜各个群体内变异均占总体变异的主体部分,为88%~97%;尽管群体间的差异所占比例小,但是仍达到极显著水平。

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.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.001

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 head0.021
GPT teacher head0.267
Teacher spread0.246 · 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