Special Feature

User Panel

My Panel

My Panel

Bookmark Science Articles

Recent News
Bookmark / Share This Science Site

A mixture model approach to the mapping of QTL controlling endosperm traits with bulked samples.

A mixture model approach to the mapping of QTL controlling endosperm traits with bulked samples. Research Abstract Details 

Research Abstract Table of Contents

Jump to the:

  • Abstract Text of This Paper
  • Journal Published
  • MeSH Keywords of This Abstract
  • Chemicals and Substances Used in this Paper
  • Grants and Granting Agency of this Research
  • Database Accession Numbers Used in this Paper
  • Related Papers
  • Related Research Tags
  • Rate this Research Paper
  • A mixture model approach to the mapping of QTL controlling endosperm traits with bulked samples. Abstract Text:

    xuefeng wangXuefeng Wang,zhiqiu huZhiqiu Hu,wei wangWei Wang,yuling liYuling Li,yuan-ming zhangYuan-Ming Zhang,chenwu xuChenwu Xu,xuefeng wangXuefeng Wang,zhiqiu huZhiqiu Hu,wei wangWei Wang,yuling liYuling Li,yuan-ming zhangYuan-Ming Zhang,chenwu xuChenwu Xu,

    Endosperm traits are of triploid inheritance and have become a focus of breeding effort for their close relations with the grain quality. Current methods for mapping quantitative trait loci (QTL) underlying endosperm traits are restricted to the use of the phenotypes of single grain samples as input data set, which are often not available in practice due to the small size of the cereal seeds. This paper proposed a statistical model for one specially tailored mapping strategy, where the marker genotypes are obtained from the maternal plants in the segregation population and the phenotypic responses are replaced by the trait means of composite endosperm samples pooled from each plant. It should therefore be more practical and have wide applicability in mapping endosperm traits. The method was implemented by fitting the phenotypic means of endosperms into a Gaussian mixture model. Both the exact and approximate Expectation-Maximization algorithms were proposed to estimate the model parameters. The presence of the QTL was determined by likelihood ratio test statistics. Statistical power and other properties of the new method were investigated and compared to the current single-seed method under a variety of scenarios through simulation studies. The simulations suggest a reasonable sample size should be used to ensure reliable results. The proposed method was also applied to a simulated genome data for further evaluation. As an illustration, a real data of maize was analyzed to find the loci responsible for the popping expansion volume.

    A mixture model approach to the mapping of QTL controlling endosperm traits with bulked samples. Publishing Authors By Initials

    x wangX Wang,z huZ Hu,w wangW Wang,y liY Li,ym zhangYM Zhang,c xuC Xu,x wangX Wang,z huZ Hu,w wangW Wang,y liY Li,ym zhangYM Zhang,c xuC Xu,

    For similar abstracts research abstracts see: abstracts research

    PUBMED ID PMID:

    MEDLINE DATE:

    A mixture model approach to the mapping of QTL controlling endosperm traits with bulked samples. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Genetica

    VOLUME: 132

    Page Numbers: 59-70

    Journal Abbreviation: Genetica

    ISSN: 0016-6707

    DAY: 11

    MONTH: 04

    YEAR: 2007

    A mixture model approach to the mapping of QTL controlling endosperm traits with bulked samples. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 370740

    A mixture model approach to the mapping of QTL controlling endosperm traits with bulked samples. Keywords Mesh Terms:

    KEYWORDS:

    MESH TERMS:

    Chemical & Substance for Abstract: A mixture model approach to the mapping of QTL controlling endosperm traits with bulked samples. Information

    Substance Name:

    Registry Number:

    Grant and Affiliation Information for A mixture model approach to the mapping of QTL controlling endosperm traits with bulked samples.

    AFFILIATION: Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology; Key Laboratory of Plant Functional Genomics of Ministry of Education, Yangzhou University, Yangzhou, 225009, China, qtls@yzu.edu.cn.

    Country: Netherlands

    Netherlands Research PublicationNetherlands Research Publication

    AGENCY:

    GRANT:

    ACRONYM:

    MEDLINETA: Genetica

    REFSOURCE:

    DATABASENAME:

    ACCESSION NUMBER:

    Number Hits: 0

    A mixture model approach to the mapping of QTL controlling endosperm traits with bulked samples Related Publications

     

    Molecular Station USER Menu

    Welcome to Molecular Station!

    You have to register before you can post on our forums or use our advanced features. Register Now! Its Free and Fast!

    Already registered? Login now below.

    User Name:

    Password:

    Already registered and Forgot your password? Click below to recover it.

    Recover Lost Password

    Join now - it's fast and free!

    Molecular Station is THE largest network of researchers, scientists and science lovers anywhere!

    Research Terms of Usage and Disclaimer
    Home
    Features

    Protocols

    DNA Forum

    Science Forum

    DNA Forum
    Biology Forum

    Science News


    [CaRP] XML error: Invalid document end at line 2

    For more click here:Science News