Literature DB >> 10816981

More about quantitative trait locus mapping with diallel designs.

A Rebaï1, B Goffinet.   

Abstract

We present a general regression-based method for mapping quantitative trait loci (QTL) by combining different populations derived from diallel designs. The model expresses, at any map position, the phenotypic value of each individual as a function of the specific-mean of the population to which the individual belongs, the additive and dominance effects of the alleles carried by the parents of that population and the probabilities of QTL genotypes conditional on those of neighbouring markers. Standard linear model procedures (ordinary or iteratively reweighted least-squares) are used for estimation and test of the parameters.

Mesh:

Year:  2000        PMID: 10816981     DOI: 10.1017/s0016672399004358

Source DB:  PubMed          Journal:  Genet Res        ISSN: 0016-6723            Impact factor:   1.588


  19 in total

1.  Statistical methods for QTL mapping in cereals.

Authors:  Christine A Hackett
Journal:  Plant Mol Biol       Date:  2002 Mar-Apr       Impact factor: 4.076

2.  On the differences between maximum likelihood and regression interval mapping in the analysis of quantitative trait loci.

Authors:  C H Kao
Journal:  Genetics       Date:  2000-10       Impact factor: 4.562

3.  Optimal sampling of a population to determine QTL location, variance, and allelic number.

Authors:  Xiao-Lin Wu; Jean-Luc Jannink
Journal:  Theor Appl Genet       Date:  2004-01-23       Impact factor: 5.699

4.  QTL detection power of multi-parental RIL populations in Arabidopsis thaliana.

Authors:  J R Klasen; H-P Piepho; B Stich
Journal:  Heredity (Edinb)       Date:  2012-02-15       Impact factor: 3.821

5.  Choice of models for QTL mapping with multiple families and design of the training set for prediction of Fusarium resistance traits in maize.

Authors:  Sen Han; H Friedrich Utz; Wenxin Liu; Tobias A Schrag; Michael Stange; Tobias Würschum; Thomas Miedaner; Eva Bauer; Chris-Carolin Schön; Albrecht E Melchinger
Journal:  Theor Appl Genet       Date:  2015-12-10       Impact factor: 5.699

6.  Connected populations for detecting quantitative trait loci and testing for epistasis: an application in maize.

Authors:  G Blanc; A Charcosset; B Mangin; A Gallais; L Moreau
Journal:  Theor Appl Genet       Date:  2006-05-20       Impact factor: 5.699

7.  Using quantitative trait loci results to discriminate among crosses on the basis of their progeny mean and variance.

Authors:  Shengqiang Zhong; Jean-Luc Jannink
Journal:  Genetics       Date:  2007-07-29       Impact factor: 4.562

8.  Genetic design and statistical power of nested association mapping in maize.

Authors:  Jianming Yu; James B Holland; Michael D McMullen; Edward S Buckler
Journal:  Genetics       Date:  2008-01       Impact factor: 4.562

9.  Multiple-line cross QTL mapping for biomass yield and plant height in triticale (× Triticosecale Wittmack).

Authors:  Katharina V Alheit; Lucas Busemeyer; Wenxin Liu; Hans Peter Maurer; Manje Gowda; Volker Hahn; Sigrid Weissmann; Arno Ruckelshausen; Jochen C Reif; Tobias Würschum
Journal:  Theor Appl Genet       Date:  2013-10-31       Impact factor: 5.699

10.  Genetic control of photoperiod sensitivity in maize revealed by joint multiple population analysis.

Authors:  Nathan D Coles; Michael D McMullen; Peter J Balint-Kurti; Richard C Pratt; James B Holland
Journal:  Genetics       Date:  2009-12-14       Impact factor: 4.562

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