MétaCan
Menu
Back to cohort
Record W1434924751

组织培养、分子标记和QT L技术在青花菜育种中的应用

2015· article· zh· W1434924751 on OpenAlexvenueno aff
张志仙, 朱长志, 檀国印, Feng Wang, 何道根

Bibliographic record

Venue分子植物育种 · 2015
Typearticle
Languagezh
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine
DOInot available

Abstract

fetched live from OpenAlex

育种是优异种质资源基因的重组。除传统新种质产生的方法外,通过组织培养、分子标记等技术来扩大物种的遗传基础已成为新种质资源形成的重要手段。青花菜,芸薹属甘蓝中以绿色花球为食用器官的一个变种,近年来在中国的种植面积越来越大,利用现代生物技术手段进行青花菜育种研究工作也越来越受到关注和重视。本文综述了游离小孢子培养、原生质体融合和转基因技术在青花菜种质资源创制中的应用,分析了各种方法存在的问题,并对青花菜遗传图谱构建、花球相关农艺性状及抗病性QTL/基因定位研究进行了探讨,并对其未来研究方向做了展望。

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 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 score0.962
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.023
GPT teacher head0.221
Teacher spread0.198 · 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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venue分子植物育种Same topicMilitary Technology and StrategiesFrench-language works237,207