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Genomic Selection in Canadian Spruces

  • Yousry A. El-KassabyEmail author
  • Blaise Ratcliffe
  • Omnia Gamal El-Dien
  • Shuzhen Sun
  • Charles Chen
  • Eduardo P. Cappa
  • Ilga M. Porth
Chapter
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Part of the Compendium of Plant Genomes book series (CPG)

Abstract

The genetic gain of spruce (Picea spp.) breeding programs is impeded by long recurrent selection cycles stemming from biological constraints such as late expression of traits, weak juvenile mature correlations, and late onset of sexual maturity. Genomic selection (GS) is capable of addressing these barriers to improving the rate of genetic gain via early prediction of phenotypes using dense genetic marker arrays. Results from GS studies focused on spruce species in Canada thus far have produced encouraging results to capture additional genetic gain for wood quality, growth, and insect resistance traits either through the re-analysis of existing progeny trials with genomic information or via prediction of phenotypes for untested candidate trees. With the continual improvement of phenotyping technologies and spruce genomic resources, we expect the capability of GS to capture genetic gain to greatly exceed that of traditional pedigree-based selection methods in the future.

Keywords

Breeding cycle Genetic gain Genetic variance Genome complexity Genomic relationship Prediction accuracies SNP data imputation 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Yousry A. El-Kassaby
    • 1
    Email author
  • Blaise Ratcliffe
    • 1
  • Omnia Gamal El-Dien
    • 1
  • Shuzhen Sun
    • 1
    • 2
  • Charles Chen
    • 2
  • Eduardo P. Cappa
    • 3
  • Ilga M. Porth
    • 4
  1. 1.Department of Forest and Conservation Sciences, Faculty of ForestryThe University of British ColumbiaVancouverCanada
  2. 2.Department of Biochemistry and Molecular BiologyOklahoma State UniversityStillwaterUSA
  3. 3.Instituto de Recursos Biologicos, Centro de Investigacion en Resursos NaturalesInstituto Nacional de Tecnologis Agropecuaria (IINTA)Buenos AiresArgentina
  4. 4.Départment des Sciences du Bois et de la Forêt, Faculté de Foresterie, de Géographie et GéomatiqueUniversité LavalQuebec CityCanada

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