Literature DB >> 21476040

Mapping QTLs with main and epistatic effects underlying grain yield and heading time in soft winter wheat.

Jochen C Reif1, Hans P Maurer, Viktor Korzun, Erhard Ebmeyer, T Miedaner, Tobias Würschum.   

Abstract

There is increasing awareness that epistasis plays a role for the determination of complex traits. This study employed an association mapping approach in a large panel of 455 diverse European elite soft winter wheat lines. The genotypes were evaluated in multi-environment trials and fingerprinted with SSR markers to dissect the underlying genetic architecture of grain yield and heading time. A linear mixed model was applied to assess marker-trait associations incorporating information of covariance among relatives. Our findings indicate that main effects dominate the control of grain yield in wheat. In contrast, the genetic architecture underlying heading time is controlled by main and epistatic effects. Consequently, for heading time it is important to consider epistatic effects towards an increased selection gain in marker-assisted breeding.

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Year:  2011        PMID: 21476040     DOI: 10.1007/s00122-011-1583-y

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  48 in total

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Review 8.  Epistasis--the essential role of gene interactions in the structure and evolution of genetic systems.

Authors:  Patrick C Phillips
Journal:  Nat Rev Genet       Date:  2008-11       Impact factor: 53.242

9.  Meta-QTL analysis of the genetic control of ear emergence in elite European winter wheat germplasm.

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Journal:  Theor Appl Genet       Date:  2009-05-09       Impact factor: 5.699

10.  Estimation of genetic effects and genotype-phenotype maps.

Authors:  Arnaud Le Rouzic; José M Alvarez-Castro
Journal:  Evol Bioinform Online       Date:  2008-06-28       Impact factor: 1.625

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  56 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-09       Impact factor: 11.205

2.  Identification of QTLs for seed and pod traits in soybean and analysis for additive effects and epistatic effects of QTLs among multiple environments.

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Journal:  Mol Genet Genomics       Date:  2013-12       Impact factor: 3.291

Review 3.  Mapping QTL for agronomic traits in breeding populations.

Authors:  Tobias Würschum
Journal:  Theor Appl Genet       Date:  2012-05-22       Impact factor: 5.699

4.  Comparison of biometrical approaches for QTL detection in multiple segregating families.

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Journal:  Theor Appl Genet       Date:  2012-05-23       Impact factor: 5.699

5.  Relatedness severely impacts accuracy of marker-assisted selection for disease resistance in hybrid wheat.

Authors:  M Gowda; Y Zhao; T Würschum; C F H Longin; T Miedaner; E Ebmeyer; R Schachschneider; E Kazman; J Schacht; J-P Martinant; M F Mette; J C Reif
Journal:  Heredity (Edinb)       Date:  2013-12-18       Impact factor: 3.821

6.  Cross-validation in association mapping and its relevance for the estimation of QTL parameters of complex traits.

Authors:  T Würschum; T Kraft
Journal:  Heredity (Edinb)       Date:  2013-12-11       Impact factor: 3.821

7.  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
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8.  Genome-wide association mapping of agronomic traits in sugar beet.

Authors:  Tobias Würschum; Hans Peter Maurer; Thomas Kraft; Geert Janssen; Carolina Nilsson; Jochen Christoph Reif
Journal:  Theor Appl Genet       Date:  2011-07-15       Impact factor: 5.699

9.  Comparison of biometrical models for joint linkage association mapping.

Authors:  T Würschum; W Liu; M Gowda; H P Maurer; S Fischer; A Schechert; J C Reif
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10.  Genetic analysis and major QTL detection for maize kernel size and weight in multi-environments.

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Journal:  Theor Appl Genet       Date:  2014-02-20       Impact factor: 5.699

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