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Record W924100670

云南马铃薯地方品种‘转心乌’实生群体遗传多样性的ISSR分析

2010· article· zh· W924100670 on OpenAlexvenueno aff
艾星梅, 王琼, 郭华春, 张新永

Bibliographic record

Venue分子植物育种 · 2010
Typearticle
Languagezh
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsBiology
DOInot available

Abstract

fetched live from OpenAlex

本研究采用ISSR标记技术,从公开发表的文献中选取多态性丰富,稳定性好,重复性高的12条IS-SR引物对马铃薯品种‘转心乌’及其100个实生个体的遗传变异性进行研究。研究结果表明,12条引物共检测到77条带,其中每条引物检测到5~7条带,平均每个位点的等位基因变异数为6.4条;多态性条带数为43条,多态性比例为55.84%。供试材料间的遗传相似系数的变异范围介于0.78~0.96之间,在0.785处可将所有供试材料划分为3大类。UPGMA聚类分析结果表明,100个材料与母株相比,虽然遗传相似性很高,亲缘关系较近,但均有不同程度的变异,没有1个材料与母株在基因型上表现完全相同;实生群体内在分子水平上也没有检测到完全一致的两个个体,这表明要利用实生群体获得完全一致的群体有相当的难度。该结果也表明利用实生种子保存种质,不失为保存马铃薯遗传多样性的有效方法。

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)0.000
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 categoriesInsufficient payload (model declined to judge)
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 score0.873
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 science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.006
GPT teacher head0.199
Teacher spread0.193 · 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 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
Published2010
Admission routes1
Has abstractyes

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