A Molecular Selection Index Method Based on Eigenanalysis by ProQuest

VIEWS: 24 PAGES: 12

More Info
									Copyright Ó 2008 by the Genetics Society of America
DOI: 10.1534/genetics.108.087387



               A Molecular Selection Index Method Based on Eigenanalysis

          J. Jesus Ceron-Rojas,*,† Fernando Castillo-Gonzalez,* Jaime Sahagun-Castellanos,‡
                ´     ´                                   ´                ´
                Amalio Santacruz-Varela,* Ignacio Benıtez-Riquelme* and Jose Crossa†,1
                                                      ´                     ´
*Colegio de Postgraduados, Carretera Mexico-Texcoco, Montecillo, CP 56230, Estado de Mexico, Mexico, †Biometrics and Statistics Unit of the
                                      ´                                               ´       ´
    Crop Research Informatics Laboratory, International Maize and Wheat Improvement Center (CIMMYT), 06600, Mexico DF, Mexico
                                                                                                                    ´            ´
            and ‡Universidad Autonoma Chapingo, CP 56230, Carretera Mexico-Texcoco, Chapingo, Estado de Mexico, Mexico
                                  ´                                        ´                                    ´       ´
                                                        Manuscript received April 28, 2008
                                                      Accepted for publication June 18, 2008


                                                                ABSTRACT
                The traditional molecular selection index (MSI) employed in marker-assisted selection maximizes the
             selection response by combining information on molecular markers linked to quantitative trait loci (QTL)
             and phenotypic values of the traits of the individuals of interest. This study proposes an MSI based on an
             eigenanalysis method (molecular eigen selection index method, MESIM), where the first eigenvector is used
             as a selection index criterion, and its elements determine the proportion of the trait’s contribution to the
             selection index. This article develops the theoretical framework of MESIM. Simulation results show that the
             genotypic means and the expected selection response from MESIM for each tr
								
To top