Literature DB >> 11999836

Statistical methods for QTL mapping in cereals.

Christine A Hackett1.   

Abstract

This paper gives an overview of the statistical theory suitable for mapping quantitative trait loci in experimental populations derived from inbred parents, with a particular emphasis on methodology for cereal crops. The basic theory is described, and some new areas of statistical research appropriate for mapping in cereal crops are discussed.

Mesh：

Year:  2002        PMID： 11999836     DOI： 10.1023/a:1014896712447

Source DB:  PubMed          Journal:  Plant Mol Biol        ISSN： 0167-4412            Impact factor:   4.076


  44 in total

1.  Mapping epistatic quantitative trait loci with one-dimensional genome searches.

Authors:  J L Jannink; R Jansen
Journal:  Genetics       Date:  2001-01       Impact factor: 4.562

2.  Quantitative trait loci: a meta-analysis.

Authors:  B Goffinet; S Gerber
Journal:  Genetics       Date:  2000-05       Impact factor: 4.562

3.  More about quantitative trait locus mapping with diallel designs.

Authors:  A Rebaï; B Goffinet
Journal:  Genet Res       Date:  2000-04       Impact factor: 1.588

4.  Interpreting genotype × environment interaction in tropical maize using linked molecular markers and environmental covariables.

Authors:  J Crossa; M Vargas; F A van Eeuwijk; C Jiang; G O Edmeades; D Hoisington
Journal:  Theor Appl Genet       Date:  1999-08       Impact factor: 5.699

5.  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

6.  Quantitative trait locus (QTL) mapping using different testers and independent population samples in maize reveals low power of QTL detection and large bias in estimates of QTL effects.

Authors:  A E Melchinger; H F Utz; C C Schön
Journal:  Genetics       Date:  1998-05       Impact factor: 4.562

7.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

8.  A comment on the simple regression method for interval mapping.

Authors:  S Xu
Journal:  Genetics       Date:  1995-12       Impact factor: 4.562

9.  Controlling the type I and type II errors in mapping quantitative trait loci.

Authors:  R C Jansen
Journal:  Genetics       Date:  1994-11       Impact factor: 4.562

10.  Use of the additive main effects and multiplicative interaction model in QTL mapping for adaptation in barley.

Authors:  I Romagosa; S E Ullrich; F Han; P M Hayes
Journal:  Theor Appl Genet       Date:  1996-07       Impact factor: 5.699
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  10 in total

Review 1.  Linkage disequilibrium and association studies in higher plants: present status and future prospects.

Authors:  Pushpendra K Gupta; Sachin Rustgi; Pawan L Kulwal
Journal:  Plant Mol Biol       Date:  2005-03       Impact factor: 4.076

2.  QTL analysis of plant development and fruit traits in pepper and performance of selective phenotyping.

Authors:  Lorenzo Barchi; Véronique Lefebvre; Anne-Marie Sage-Palloix; Sergio Lanteri; Alain Palloix
Journal:  Theor Appl Genet       Date:  2009-02-15       Impact factor: 5.699

3.  Association of AFLP and SSR markers with agronomic and fibre quality traits in Gossypium hirsutum L.

Authors:  Arunita Rakshit; S Rakshit; J Singh; S K Chopra; H S Balyan; P K Gupta; Shripad R Bhat
Journal:  J Genet       Date:  2010-08       Impact factor: 1.166

4.  QTL analyses and comparative genetic mapping of frost tolerance, winter survival and drought tolerance in meadow fescue (Festuca pratensis Huds.).

Authors:  Vibeke Alm; Carlos S Busso; Ashild Ergon; Heidi Rudi; Arild Larsen; Michael W Humphreys; Odd Arne Rognli
Journal:  Theor Appl Genet       Date:  2011-04-20       Impact factor: 5.699

Review 5.  Mapping QTLs regulating morpho-physiological traits and yield: case studies, shortcomings and perspectives in drought-stressed maize.

Authors:  Roberto Tuberosa; Silvio Salvi; Maria Corinna Sanguineti; Pierangelo Landi; Marco Maccaferri; Sergio Conti
Journal:  Ann Bot       Date:  2002-06       Impact factor: 4.357

6.  A dense SNP genetic map constructed using restriction site-associated DNA sequencing enables detection of QTLs controlling apple fruit quality.

Authors:  Rui Sun; Yuansheng Chang; Fengqiu Yang; Yi Wang; Hui Li; Yongbo Zhao; Dongmei Chen; Ting Wu; Xinzhong Zhang; Zhenhai Han
Journal:  BMC Genomics       Date:  2015-10-05       Impact factor: 3.969

7.  Development of an integrated linkage map of einkorn wheat and its application for QTL mapping and genome sequence anchoring.

Authors:  Kang Yu; Dongcheng Liu; Wenying Wu; Wenlong Yang; Jiazhu Sun; Xin Li; Kehui Zhan; Dangqun Cui; Hongqing Ling; Chunming Liu; Aimin Zhang
Journal:  Theor Appl Genet       Date:  2016-09-22       Impact factor: 5.699

8.  Identification of metabolic and biomass QTL in Arabidopsis thaliana in a parallel analysis of RIL and IL populations.

Authors:  Jan Lisec; Rhonda C Meyer; Matthias Steinfath; Henning Redestig; Martina Becher; Hanna Witucka-Wall; Oliver Fiehn; Ottó Törjék; Joachim Selbig; Thomas Altmann; Lothar Willmitzer
Journal:  Plant J       Date:  2007-11-28       Impact factor: 6.417

9.  Genetic dissection of yield and its component traits using high-density composite map of wheat chromosome 3A: bridging gaps between QTLs and underlying genes.

Authors:  Sachin Rustgi; Mustafa N Shafqat; Neeraj Kumar; P Stephen Baenziger; M Liakat Ali; Ismail Dweikat; B Todd Campbell; Kulvinder Singh Gill
Journal:  PLoS One       Date:  2013-07-24       Impact factor: 3.240

10.  QTL underlying some agronomic traits in barley detected by SNP markers.

Authors:  Jibin Wang; Genlou Sun; Xifeng Ren; Chengdao Li; Lipan Liu; Qifei Wang; Binbin Du; Dongfa Sun
Journal:  BMC Genet       Date:  2016-07-07       Impact factor: 2.797
  10 in total

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