Literature DB >> 15454555

Linkage disequilibrium mapping of yield and yield stability in modern spring barley cultivars.

Arnold T W Kraakman1, Rients E Niks, Petra M M M Van den Berg, Piet Stam, Fred A Van Eeuwijk.   

Abstract

Associations between markers and complex quantitative traits were investigated in a collection of 146 modern two-row spring barley cultivars, representing the current commercial germ plasm in Europe. Using 236 AFLP markers, associations between markers were found for markers as far apart as 10 cM. Subsequently, for the 146 cultivars the complex traits mean yield, adaptability (Finlay-Wilkinson slope), and stability (deviations from regression) were estimated from the analysis of variety trial data. Regression of those traits on individual marker data disclosed marker-trait associations for mean yield and yield stability. Support for identified associations was obtained from association profiles, i.e., from plots of P-values against chromosome positions. In addition, many of the associated markers were located in regions where earlier QTL were found for yield and yield components. To study the oligogenic genetic base of the traits in more detail, multiple linear regression of the traits on markers was carried out, using stepwise selection. By this procedure, 18-20 markers that accounted for 40-58% of the variation were selected. Our results indicate that association mapping approaches can be a viable alternative to classical QTL approaches based on crosses between inbred lines, especially for complex traits with costly measurements.

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Year:  2004        PMID: 15454555      PMCID: PMC1448125          DOI: 10.1534/genetics.104.026831

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  26 in total

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Authors:  J K Pritchard; M Stephens; P Donnelly
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2.  Structure of linkage disequilibrium and phenotypic associations in the maize genome.

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Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-18       Impact factor: 11.205

3.  Linkage disequilibrium mapping of the bolting gene in sea beet using AFLP markers.

Authors:  M Hansen; T Kraft; S Ganestam; T Säll; N O Nilsson
Journal:  Genet Res       Date:  2001-02       Impact factor: 1.588

4.  Genetic properties of four types of stability parameter.

Authors:  C S Lin; M R Binns
Journal:  Theor Appl Genet       Date:  1991-07       Impact factor: 5.699

5.  Homology of AFLP products in three mapping populations of barley.

Authors:  R Waugh; N Bonar; E Baird; B Thomas; A Graner; P Hayes; W Powell
Journal:  Mol Gen Genet       Date:  1997-07

6.  Use of locus-specific AFLP markers to construct a high-density molecular map in barley.

Authors:  X Qi; P Stam; P Lindhout
Journal:  Theor Appl Genet       Date:  1998-03       Impact factor: 5.699

Review 7.  Linkage disequilibrium in humans: models and data.

Authors:  J K Pritchard; M Przeworski
Journal:  Am J Hum Genet       Date:  2001-06-14       Impact factor: 11.025

8.  The extent of linkage disequilibrium in Arabidopsis thaliana.

Authors:  Magnus Nordborg; Justin O Borevitz; Joy Bergelson; Charles C Berry; Joanne Chory; Jenny Hagenblad; Martin Kreitman; Julin N Maloof; Tina Noyes; Peter J Oefner; Eli A Stahl; Detlef Weigel
Journal:  Nat Genet       Date:  2002-01-07       Impact factor: 38.330

9.  Combined mapping of AFLP and RFLP markers in barley.

Authors:  J Becker; P Vos; M Kuiper; F Salamini; M Heun
Journal:  Mol Gen Genet       Date:  1995-11-01

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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  137 in total

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Authors:  J Comadran; J R Russell; A Booth; A Pswarayi; S Ceccarelli; S Grando; A M Stanca; N Pecchioni; T Akar; A Al-Yassin; A Benbelkacem; H Ouabbou; J Bort; F A van Eeuwijk; W T B Thomas; I Romagosa
Journal:  Theor Appl Genet       Date:  2011-01-30       Impact factor: 5.699

2.  Reanalyses of the historical series of UK variety trials to quantify the contributions of genetic and environmental factors to trends and variability in yield over time.

Authors:  I Mackay; A Horwell; J Garner; J White; J McKee; H Philpott
Journal:  Theor Appl Genet       Date:  2010-09-11       Impact factor: 5.699

3.  Genetic basis of agronomically important traits in sugar beet (Beta vulgaris L.) investigated with joint linkage association mapping.

Authors:  Jochen C Reif; Wenxin Liu; Manje Gowda; Hans Peter Maurer; Jens Möhring; Sandra Fischer; Axel Schechert; Tobias Würschum
Journal:  Theor Appl Genet       Date:  2010-07-18       Impact factor: 5.699

Review 4.  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

5.  Adaptation of crops to environment.

Authors:  O Chloupek; P Hrstkova
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6.  Identifying quantitative trait locus by genetic background interactions in association studies.

Authors:  Jean-Luc Jannink
Journal:  Genetics       Date:  2006-12-18       Impact factor: 4.562

7.  A mixed-model approach to association mapping using pedigree information with an illustration of resistance to Phytophthora infestans in potato.

Authors:  M Malosetti; C G van der Linden; B Vosman; F A van Eeuwijk
Journal:  Genetics       Date:  2006-12-06       Impact factor: 4.562

8.  Effects of introgression and recombination on haplotype structure and linkage disequilibrium surrounding a locus encoding Bymovirus resistance in barley.

Authors:  Silke Stracke; Thomas Presterl; Nils Stein; Dragan Perovic; Frank Ordon; Andreas Graner
Journal:  Genetics       Date:  2006-12-06       Impact factor: 4.562

9.  Association mapping of kernel size and milling quality in wheat (Triticum aestivum L.) cultivars.

Authors:  Flavio Breseghello; Mark E Sorrells
Journal:  Genetics       Date:  2005-08-03       Impact factor: 4.562

10.  Factors affecting accuracy from genomic selection in populations derived from multiple inbred lines: a Barley case study.

Authors:  Shengqiang Zhong; Jack C M Dekkers; Rohan L Fernando; Jean-Luc Jannink
Journal:  Genetics       Date:  2009-03-18       Impact factor: 4.562

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