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      Genetic architecture is more complex for resistance to Septoria tritici blotch than to Fusarium head blight in Central European winter wheat

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          Abstract

          Background

          Fusarium head blight (FHB) and Septoria tritici blotch (STB) severely impair wheat production. With the aim to further elucidate the genetic architecture underlying FHB and STB resistance, we phenotyped 1604 European wheat hybrids and their 135 parental lines for FHB and STB disease severities and determined genotypes at 17,372 single-nucleotide polymorphic loci.

          Results

          Cross-validated association mapping revealed the absence of large effect QTL for both traits. Genomic selection showed a three times higher prediction accuracy for FHB than STB disease severity for test sets largely unrelated to the training sets.

          Conclusions

          Our findings suggest that the genetic architecture is less complex and, hence, can be more properly tackled to perform accurate prediction for FHB than STB disease severity. Consequently, FHB disease severity is an interesting model trait to fine-tune genomic selection models exploiting beyond relatedness also knowledge of the genetic architecture.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12864-015-1628-8) contains supplementary material, which is available to authorized users.

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          Most cited references32

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          R: A Language and Environment for Statistical Computing.

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            QTL mapping and marker-assisted selection forFusariumhead blight resistance in wheat: a review

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              Marker-assisted selection using ridge regression.

              In cross between inbred lines, linear regression can be used to estimate the correlation of markers with a trait of interest; these marker effects then allow marker assisted selection (MAS) for quantitative traits. Usually a subset of markers to include in the model must be selected: no completely satisfactory method of doing this exists. We show that replacing this selection of markers by ridge regression can improve the mean response to selection and reduce the variability of selection response.
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                Author and article information

                Contributors
                mirdita@ipk-gatersleben.de
                liug@ipk-gatersleben.de
                zhao@ipk-gatersleben.de
                thomas.miedaner@uni-hohenheim.de
                friedrich.longin@uni-hohenheim.de
                M.Gowda@cgiar.org
                mette@ipk-gatersleben.de
                reif@ipk-gatersleben.de
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                5 June 2015
                5 June 2015
                2015
                : 16
                : 1
                : 430
                Affiliations
                [ ]Department of Cytogenetics and Genome Analysis, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466 Gatersleben, Germany
                [ ]State Plant Breeding Institute, University of Hohenheim, 70593 Stuttgart, Germany
                [ ]International Maize and Wheat Improvement Center (CIMMYT), P. O. Box 1041–00621, Nairobi, Kenya
                Article
                1628
                10.1186/s12864-015-1628-8
                4455280
                1a3805c1-f169-40f6-9fc3-8cf554f4e66d
                © Mirdita et al. 2015

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 7 January 2015
                : 11 May 2015
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2015

                Genetics
                association mapping,genomic selection,hybrid wheat,fusarium head blight,septoria tritici blotch

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