41
views
0
recommends
+1 Recommend
4 collections
    1
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Origin Specific Genomic Selection: A Simple Process To Optimize the Favorable Contribution of Parents to Progeny

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Modern crop breeding is in constant demand for new genetic diversity as part of the arms race with genetic gain. The elite gene pool has limited genetic variation and breeders are trying to introduce novelty from unadapted germplasm, landraces and wild relatives. For polygenic traits, currently available approaches to introgression are not ideal, as there is a demonstrable bias against exotic alleles during selection. Here, we propose a partitioned form of genomic selection, called Origin Specific Genomic Selection (OSGS), where we identify and target selection on favorable exotic alleles. Briefly, within a population derived from a bi-parental cross, we isolate alleles originating from the elite and exotic parents, which then allows us to separate out the predicted marker effects based on the allele origins. We validated the usefulness of OSGS using two nested association mapping (NAM) datasets: barley NAM (elite-exotic) and maize NAM (elite-elite), as well as by computer simulation. Our results suggest that OSGS works well in its goal to increase the contribution of favorable exotic alleles in bi-parental crosses, and it is possible to extend the approach to broader multi-parental populations.

          Most cited references36

          • Record: found
          • Abstract: not found
          • Article: not found

          Regression Shrinkage and Selection Via the Lasso

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Regularization and variable selection via the elastic net

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Ridge Regression and Other Kernels for Genomic Selection with R Package rrBLUP

                Bookmark

                Author and article information

                Journal
                G3 (Bethesda)
                Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes|Genomes|Genetics
                Genetics Society of America
                2160-1836
                19 May 2020
                July 2020
                : 10
                : 7
                : 2445-2455
                Affiliations
                [* ]Scotland's Rural College (SRUC), Kings Buildings, West Mains Road, Edinburgh, EH9 3JG, UK,
                [ ]The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Edinburgh, EH25 9RG, UK,
                [ ]CIMMYT, KM 45 Carretera Mexico-Veracruz, El Batan, 56237, Texcoco, Edo. De Mexico, Mexico, and
                [ § ]IMplant Consultancy Ltd., Chelmsford, UK
                Author notes
                [1 ]Corresponding author: Scotland’s Rural College (SRUC), Kings Buildings, West Mains Road, Edinburgh, EH9 3JG, UK. E-mail: i.j.mackay@ 123456gmail.com
                Author information
                http://orcid.org/0000-0002-4953-5589
                http://orcid.org/0000-0003-3488-8688
                http://orcid.org/0000-0001-8008-2787
                http://orcid.org/0000-0003-2015-2450
                http://orcid.org/0000-0002-5612-3398
                http://orcid.org/0000-0002-1109-4730
                Article
                GGG_401132
                10.1534/g3.120.401132
                7341124
                32430306
                72b55d36-1b8d-449e-9238-7ecd36882fce
                Copyright © 2020 Yang et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 22 December 2019
                : 15 May 2020
                Page count
                Figures: 6, Tables: 2, Equations: 5, References: 37, Pages: 11
                Categories
                Genomic Prediction

                Genetics
                introgression,barley,maize,nam,genomic selection,plant breeding,genomic prediction,genpred,shared data resources

                Comments

                Comment on this article