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Acoustic wave velocity as a selection trait in Eucalyptus nitens

Citation

Blackburn, D and Hamilton, M and Williams, D and Harwood, C and Potts, B, Acoustic wave velocity as a selection trait in Eucalyptus nitens, Forests, 5, (4) pp. 744-762. ISSN 1999-4907 (2014) [Refereed Article]


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Licensed under Creative Commons Attribution 3.0 Unported (CC BY 3.0) http://creativecommons.org/licenses/by/3.0/

DOI: doi:10.3390/f5040744

Abstract

Previous studies in Eucalyptus nitens have revealed favourable genetic correlations exist between acoustic wave velocity (AWV) in standing trees and modulus of elasticity (MOE), which can determine the suitability of trees for structural timber and/or engineered wood products. This study investigates the strength and stability of genetic variation in standing tree AWV across a range of environments in Tasmania, where there are a number of large plantation estates and breeding trials. Trees under study were from open-pollinated progeny trials established in 1993. Across sites, for standing tree AWV the ranking of E. nitens races did not change and within-race additive genetic correlations were strong (0.61 to 0.99). Heritabilities (0.16 to 0.74) and coefficients of additive genetic variation (2.6 to 4.8) were moderate for this trait. Correlations between standing tree AWV and both basic density and diameter at breast height (DBH) were favourable. Results indicate that there is potential to improve MOE in E. nitens through the exploitation of genetic variation in AWV among and within races, the expression of genetic variation in AWV is relatively stable across different growing environments, and past selection for basic density and growth in pulpwood breeding programs is unlikely to have adversely affected MOE.

Item Details

Item Type:Refereed Article
Keywords:Eucalyptus nitens, acoustic wave velocity, wood density, growth, heritability, genotype by environment interaction
Research Division:Agricultural and Veterinary Sciences
Research Group:Forestry Sciences
Research Field:Forestry Product Quality Assessment
Objective Division:Plant Production and Plant Primary Products
Objective Group:Forestry
Objective Field:Forestry not elsewhere classified
Author:Blackburn, D (Dr David Blackburn)
Author:Hamilton, M (Dr Matthew Hamilton)
Author:Potts, B (Professor Brad Potts)
ID Code:98277
Year Published:2014
Web of Science® Times Cited:3
Deposited By:Plant Science
Deposited On:2015-02-10
Last Modified:2017-11-09
Downloads:175 View Download Statistics

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