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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
SLU Swedish University of Agricultural Science, Sweden.
SLU Swedish University of Agricultural Science, Sweden.
RISE - Research Institutes of Sweden, Bioeconomy. IIC, Sweden.
RISE - Research Institutes of Sweden, Bioeconomy.ORCID iD: 0000-0003-4211-4885
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2019 (English)In: Canadian Journal of Forest Research, ISSN 0045-5067, E-ISSN 1208-6037, Vol. 49, no 7, p. 810-818Article in journal (Refereed) Published
Abstract [en]

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 (h2) 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 h2 estimate, selection of the best clones from clonal archives would be an effective alternative.

Place, publisher, year, edition, pages
Canadian Science Publishing , 2019. Vol. 49, no 7, p. 810-818
Keywords [en]
Heritability, Norway spruce, Offspring regression, Parent, Repeatability, Solid wood, Acoustic wave velocity, Acoustic wave velocity measurement, Hardwoods, Plants (botany), Quality control, Solid woods, Forestry, Picea abies
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-39281DOI: 10.1139/cjfr-2018-0117Scopus ID: 2-s2.0-85067585682OAI: oai:DiVA.org:ri-39281DiVA, id: diva2:1334618
Note

Funding details: VINNOVA; Funding details: Stiftelsen för Strategisk Forskning, RBP14-0040; Funding details: Knut och Alice Wallenbergs Stiftelse; Funding text 1: We acknowledge Skogforsk for support with the collection of data in both the clonal archive and progeny trials and Åke Hans-son, Thomas Trost, and Fredrik Adås of Innventia (now RISE Bioeconomy) for the excellent work with the SilviScan wood analyses. We also acknowledge Bio4Energy and the Swedish Foundation for Strategic Research (SSF, grant No. RBP14-0040), funding from Vinnova (the Swedish Governmental Agency for Innovation Systems), and KAW (the Knut and Alice Wallenberg Foundation) for support to conduct this study.

Available from: 2019-07-03 Created: 2019-07-03 Last updated: 2019-08-01Bibliographically approved

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