Literature DB >> 2010315

Maximum likelihood estimation of linkage between a marker gene and a quantitative trait locus. II. Application to backcross and doubled haploid populations.

Z W Luo1, M J Kearsey.   

Abstract

The algorithm for estimating both the recombination fraction between a marker gene and a locus affecting a quantitative trait, and also the means and variances of the QTL genotypes, is extended to backcross and doubled haploid populations. The simulation experiments show that estimates of these parameters can be obtained with acceptable accuracy and results are compared with those obtained using F2 populations studied previously (Luo & Kearsey, 1989).

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Year:  1991        PMID: 2010315     DOI: 10.1038/hdy.1991.14

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  12 in total

1.  Identification and validation of QTLs conferring resistance to sorghum downy mildew (Peronosclerospora sorghi) and Rajasthan downy mildew (P. heteropogoni) in maize.

Authors:  S K Nair; B M Prasanna; A Garg; R S Rathore; T A S Setty; N N Singh
Journal:  Theor Appl Genet       Date:  2005-04-20       Impact factor: 5.699

2.  Numerical comparison between powers of maximum likelihood and analysis of variance methods for QTL detection in progeny test designs: the case of monogenic inheritance.

Authors:  P Le Roy; J M Elsen
Journal:  Theor Appl Genet       Date:  1995-01       Impact factor: 5.699

3.  Multiple regression for molecular-marker, quantitative trait data from large F2 populations.

Authors:  A J Wright; R P Mowers
Journal:  Theor Appl Genet       Date:  1994-10       Impact factor: 5.699

4.  Power studies in the estimation of genetic parameters and the localization of quantitative trait loci for backcross and doubled haploid populations.

Authors:  E A Carbonell; M J Asins; M Baselga; E Balansard; T M Gerig
Journal:  Theor Appl Genet       Date:  1993-05       Impact factor: 5.699

5.  Genetic models to estimate additive and non-additive effects of marker-associated QTL using multiple regression techniques.

Authors:  J Moreno-Gonzalez
Journal:  Theor Appl Genet       Date:  1992-12       Impact factor: 5.699

6.  Estimating the locations and the sizes of the effects of quantitative trait loci using flanking markers.

Authors:  O Martínez; R N Curnow
Journal:  Theor Appl Genet       Date:  1992-12       Impact factor: 5.699

7.  Power of tests for QTL detection using replicated progenies derived from a diallel cross.

Authors:  A Rebai; B Goffinet
Journal:  Theor Appl Genet       Date:  1993-09       Impact factor: 5.699

8.  A general mixture model for mapping quantitative trait loci by using molecular markers.

Authors:  R C Jansen
Journal:  Theor Appl Genet       Date:  1992-11       Impact factor: 5.699

9.  Identification of RAPD markers linked to genetic factors controlling the milling energy requirement of barley.

Authors:  K J Chalmers; U M Barua; C A Hackett; R Waugh; W Powell
Journal:  Theor Appl Genet       Date:  1993-11       Impact factor: 5.699

10.  QTL analysis: a simple 'marker-regression' approach.

Authors:  M J Kearsey; V Hyne
Journal:  Theor Appl Genet       Date:  1994-11       Impact factor: 5.699

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