Genetic analysis of wood quality traits in Norway spruce open-pollinated progenies and their parent plus trees at clonal archives and the evaluation of phenotypic selection of plus trees

Abstract

A two-generation pedigree involving 519 Norway spruce (Picea abies (L.) Karst.) plus trees (at clonal archives) and their open-pollinated (OP) progenies was studied with the aim to evaluate the potential of plus-tree selection based on phenotype data scored on the plus trees. Two wood properties (wood density and modulus of elasticity, MOE) and one fiber property (microfibril angle, MFA) were measured with a SilviScan instrument on samples from one ramet per plus tree and 12 OP progenies per plus tree (total of 6288 trees). Three ramets per plus tree and their OP progenies were also assessed for Pilodyn penetration depth and Hitman acoustic velocity, which were used to estimate MOE. The narrow-sense heritability (h(2)) estimates based on parent-offspring regression were marginally higher than those based on half-sib correlation when three ramets per plus tree were included. For SilviScan data, estimates of the correlation between half-sib, progeny-based breeding values (BVs) and plus-tree phenotypes, as well as repeatability estimates, were highest for wood density, followed by MOE and MFA. Considering that the repeatability estimates from the clonal archive trees were higher than any h(2) estimate, selection of the best clones from clonal archives would be an effective alternative.

Keywords

solid wood; Norway spruce; parent-offspring regression; heritability; repeatability

Published in

Canadian Journal of Forest Research
2019, volume: 49, number: 7, pages: 810-818

SLU Authors

• Zhou, Linghua

  • Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences
    

• Chen, Zhiqiang

  • Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences
    

• Wu, Harry

  • Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences
    
  • Commonwealth Scientific and Industrial Research Organisation (CSIRO)

• Garcia Gil, Rosario

  • Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Forest Science

Publication identifier

• DOI: https://doi.org/10.1139/cjfr-2018-0117

Permanent link to this page (URI)

https://res.slu.se/id/publ/98178