Genetic parameters and provenance variation of Pinus radiata D. Don. ‘Eldridge collection’ in Australia 2: wood properties

Gapare, Washington J.; Ivković, Miloš; Dillon, Shannon; Chen, Fiona; Evans, Robert; Wu, Harry X.

doi:10.1007/s11295-012-0475-x

Cited by 13 publications

(7 citation statements)

References 33 publications

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“…wood basic density (Apiolaza 2012;Gapare et al 2010Gapare et al , 2012aJohnson and Gartner 2006;Muneri and Raymond 2000), acoustic velocity or modulus of elasticity (Dungey et al 2012;Gapare et al 2012a;Jayawickrama et al 2011;Johnson and Gartner 2006), wood chemical properties (Sykes et al 2006), wood specific gravity (Jett et al 1991) and resin canal traits (Westbrook et al 2014). Osorio et al (2001) reported minimal G×E for wood density in Eucalyptus grandis in Colombia.…”

Section: Evidence Of G×e In Forest Treesmentioning

confidence: 99%

Genotype by environment interactions in forest tree breeding: review of methodology and perspectives on research and application

Suontama

Burdon

et al. 2017

Tree Genetics & Genomes

159

107

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Genotype by environment interaction (G×E) refers to the comparative performances of genotypes differing among environments, representing differences in genotype rankings or differences in the level of expression of genetic differences among environments. G×E can reduce heritability and overall genetic gain, unless breeding programmes are structured to address different categories of environments. Understanding the impact of G×E, the role of environments in generating G×E and the problems and opportunities is vital to efficient breeding programme design and deployment of genetic material. We review the current main analytical methods for identifying G×E: factor analytic models, biplot analysis and reaction norm. We also review biological and statistical evidence of G×E for growth, form and wood properties in forest species of global economic importance, including some pines, eucalypts, Douglas-fir, spruces and some poplars. Among these species, high levels of G×E tend to be reported for growth traits, with low levels of G×E for form traits and wood properties. Finally, we discuss possible ways of exploiting G×E to maximise genetic gain in forest tree breeding. Characterising the role of environments in generating interactions is seen as the basic platform, allowing efficient testing of candidate genotypes. We discuss the importance of level-of-expression interaction, relative to rankchange interaction, as being greater than in many past reports, especially for deployment decisions. We examine the impacts of G×E on tree breeding, some environmental factors that cause G×E and the strategies for dealing with G×E in tree breeding, and the future role of genomics.

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Section: Evidence Of G×e In Forest Treesmentioning

confidence: 99%

Genotype by environment interactions in forest tree breeding: review of methodology and perspectives on research and application

Suontama

Burdon

et al. 2017

Tree Genetics & Genomes

159

107

View full text Add to dashboard Cite

show abstract

“…Low levels of G×E have been reported in most studies for stem straightness [ 28 , 29 ], branch angle [ 30 ], branch size[ 31 ], branch habit [ 32 ] and malformation [ 32 ]. No significant G×E has been found for wood basic density [ 33 – 35 ], predicted modulus of elasticity [ 33 ] and resistance to damage caused by the Dothistroma pathogen [ 28 ].…”

Section: Introductionmentioning

confidence: 99%

Genotype by environment interaction for growth and Dothistroma resistance and clonal connectivity between environments in radiata pine in New Zealand and Australia

Dungey

Carson

et al. 2018

PLoS ONE

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Twenty-eight clonal trials of radiata pine planted across Australia and New Zealand were used to investigate genetic variation and genotype by environment (G×E) interaction for diameter-at-breast-height (DBH), height and Dothistroma resistance (DO_R). The average narrow-sense heritabilities were 0.11, 0.21 and 0.30 while the average broad-sense heritabilities were 0.27, 0.34 and 0.40 for DBH, height and Dothistroma resistance, respectively. Dothistroma resistance was assessed as the percentage of needles that were not affected by Dothistroma needle blight. G×E interactions were analysed using an approximate reduced factor analytic model. Apparent G×E interactions were estimated for DBH, height and Dothistroma resistance. Estimates of G×E interactions and their standard errors were strongly influenced by the level of connectivity between trials, in terms of common clones and common parents. When there was sufficient connectivity between trials (more than 30% common clones between trials), a high level of G×E interaction was found for DBH and height but not for Dothistroma resistance. In two simulated clonal trials planted in two environments, low connectivity between environments resulted in a lower estimated genetic correlation between environments with an increased standard error. These results suggest that the number of clones in common between clonal trials is a key factor for inclusion in future experimental designs for estimating G×E interaction. When designing clonal trials for use in multiple environments for accurately estimating the level of G×E, if the resource for creating connectivity between environments is limited, at least 30% of the clones need to be in common between environments.

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“…As with loblolly pine, many other tree species have been planted around the world in forestry provenance trials and show similar trends of heritability for traits associated with greater invasive potential (e.g. Gapare et al 2012a ; Gapare et al 2012b ). Moreover, it is not uncommon that these experiments last for decades.…”

Section: The Unified Frameworkmentioning

confidence: 99%

Evolutionary dynamics of tree invasions: complementing the unified framework for biological invasions

et al. 2016

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Evolution greatly impacts the outcomes of biological invasions. In our review, we review such evolutionary processes, with an emphasis on tree invasions, and place them in the context of a unified framework for biological invasions. The processes and mechanisms described are pre-introduction evolutionary history, sampling effect, founder effect, genotype-by-environment interactions, admixture, hybridization, polyploidization, rapid evolution, epigenetics, and second-genomes. By understanding the mechanisms underlying invasion success, researchers will be better equipped to predict, understand, and manage biological invasions.

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Genetic parameters and provenance variation of Pinus radiata D. Don. ‘Eldridge collection’ in Australia 2: wood properties

Cited by 13 publications

References 33 publications

Genotype by environment interactions in forest tree breeding: review of methodology and perspectives on research and application

Genotype by environment interactions in forest tree breeding: review of methodology and perspectives on research and application

Genotype by environment interaction for growth and Dothistroma resistance and clonal connectivity between environments in radiata pine in New Zealand and Australia

Evolutionary dynamics of tree invasions: complementing the unified framework for biological invasions

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