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Genotype by environment interaction for growth of Eucalyptus globulus in Australia

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Costa e Silva, J and Potts, BM and Dutkowski, GW (2006) Genotype by environment interaction for growth of Eucalyptus globulus in Australia. Tree Genetics & Genomes, 2 (2). pp. 61-75. ISSN 1614-2942

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Abstract

This study assessed the genotype by environment
(G × E) interaction for diameter growth in 15
Eucalyptus globulus progeny trials in Australia. Single-site
analyses revealed significant subrace and family-withinsubrace
variance in all trials. Across-site subrace (brs) and
family (brf) correlations were estimated by linear mixed model
analyses of pairs of trials. Using a factor analytic structure
for subrace and family random terms in a multi-environment
mixed model analysis, best linear unbiased predictions
of subrace effects were obtained for each trial. These
were then averaged for each of four states (Victoria,
Tasmania, South Australia and Western Australia) and
across all sites. Statistically significant G × E interaction
was detected, and weighted means across states for brs and
brf were 0.73 and 0.76, respectively. Nevertheless, the three
subraces from the Otway Ranges were both fast growing
and relatively stable in their ranks over all sites. We
evaluated the sensitivity of subraces to changing environmental
conditions, on the basis of random coefficient
models regressing subrace performance on selected trial
climatic variables. The results suggested differential susceptibility
of subraces to water, light and (to a less extent)
temperature stresses during summer. Moreover, using multivariate
techniques to visualize and interpret the across-site
correlation structure for subrace effects, we could identify
site clusters of reduced G × E interaction related to soil
water availability and evaporative demand during summer.
A revised site-type classification using these factors should
allow a better capture of genetic gains from breeding and
deployment.

Item Type: Article
Keywords: Eucalyptus globulus . Genotype by environment interaction . Linear mixed models . Adaptability
Journal or Publication Title: Tree Genetics & Genomes
Page Range: pp. 61-75
ISSN: 1614-2942
Identification Number - DOI: 10.1007/s11295-005-0025-x
Additional Information:

BM Potts. The original publication is available at www.springerlink.com

Date Deposited: 27 Feb 2008 01:44
Last Modified: 18 Nov 2014 03:30
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