Genetic stability of wood density and diameter in Pinus radiata D. Don plantation estate across Australia

Gapare, Washington J.; Ivković, Miloš; Baltunis, Brian S.; Matheson, C.; Wu, Harry X.

doi:10.1007/s11295-009-0233-x

Cited by 41 publications

(34 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Inheritance of ED have been investigated during the last decade mainly concentrated in temperate species (CHERRY et al, 2008;DUNGEY et al, 2006;HANNRUP et al, 2004;KUMAR, 2004) and only few of them were on tropical hardwood species (CALLISTER and COLLINS, 2008;SOTELO et al, 2007a;WEBER and SOTELO, 2008). In general, these studies reported similar heritability numbers compared to those found in clones of T. grandis; for example ED values from 0.14 to 0.17 in 19-year-old clones of Picea abies (HANNRUP et al, 2004), from 0.22 to 0.31 in 39 months old C. grandiflorum (SOTELO et al, 2007b) and 0.30 in mature douglas fir (CHERRY et al, 2008), 0.01 to 0.40 in 21 years old Pinus radiata (DUNGEY et al, 2006;GAPARE et al, 2010;KUMAR, 2004).…”

Section: Heritability Of Wood Propertiesmentioning

confidence: 98%

“…There is topographical and soil characteristics differ among the studied tests. The experiment "Combate" presents a regular topography, with a soil type umbricepipedon and argillic horizon with high saturation of acidity, and on the other hand "San Cristobal" presents ultisol-type soil, with an argillic horizon and pH tend to be neutral.Numerous studies with clones of coniferous species report the effect of site on wood properties in older trees (GAPARE et al, 2010;HANNRUP et al, 2004;ZOBEL and VAN BUIJTENEN, 1989) but there has been less work on tropical hardwood species most notably with Guazuma crinita (WEBER and SOTELO, 2008), Dalbergia sissoo (PANDE and SINGH, 2005), Calycophyllum grandiflorum (SOTELO et al, 2007a), Bombacopsis quinata (HODGE et al, 2002) and Alnus acuminata (HERNÁNDEZ and RESTREPO, 1995), which are consistent with the effect of sites found in this work. Specifically in T. grandis in mature trees (14 years old), INDIRA and BHAT (1998) showed that site has a great influence on wood density.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Early genetic evaluation of morphology and some wood properties of Tectona grandis L. clones

2012

View full text Add to dashboard Cite

An early genetic evaluation of morphology and wood properties of Tectona grandis L. (teak) used two 4-yr-old trials with 36 clones x 3 blocks x 1 ramet (216 trees). Morphologic traits (breast height (DBH), heartwood (HWP), tree height) and some easily measured wood properties (specify gravity, tangential, radial and volumetric shrinkage; growth strain, and dynamic elastic modulus measured in standing tree, in logs, in green lumber and in dried lumber) were evaluated to establish clonal variations and their heritabilities. The broadsense heritability (Ĥ 2 ) is greater than 0.3 for DBH, radial and volume shrinkage, growth strain and dynamic elastic modulus of standing trees and logs. DBH and tree height were not genetically correlated with any wood properties, although DBH was genetically correlated with tree height and the dynamic elastic modulus in dried-lumber. According with above results, the evaluation of heritability and genetic control of wood properties is limited when it is evaluated in the juvenile stage of T. grandis clones. However morphology (DBH and tree height), and two wood properties (radial and tangential shrinkage) and the dynamic elastic modulus of dried-lumber present opportunities in the heritability or genetic control values in juvenile and they can be introduced in the genetic program.Key words: early evaluation, correlation genotypic, heritability. IntroductionTeak is a tropical species that is widely planted in Costa Rica (PÉREZ and KANINNEN, 2005). It is a species with potential to produce high quality wood (BHAT, 2000;BHAT et al., 2001) because of its good physical and mechanical properties (MOYA and PÉREZ, 2008) and color, which set market acceptance (TEWARI, 1999; THU-LASIDAS et al., 2006;ZOBEL and SPRAGUE, 1998). In clonal plantations wood quality is influenced by intensity of management and correct selection of clone phenotypic characteristics (height, diameter, and morphology) (GAL-LOWAY et al., 2001; PÉREZ and KANINNEN, 2005).Traditionally morphological characteristics of trees, such as diameter and height have been used as the main predictors of individual internal characteristics (ZOBEL and VAN BUIJTENEN, 1989;ZOBEL and SPRAGUE, 1998). In recent years, the genetic selection of plus trees have been used for wood properties selection (CALLIS-TERY and COLLINS, 2008).General evaluations of wood properties are limited and restricted to trees over 8 years old (BHAT and INDIRA, 2005;INDIRA and BHAT, 1998; RAO and SHASAHIKALA, 2003; NANARAYAN et al., 2009). However, assessments at an early age (PANDE and SINGH, 2005;SOTELO et al., 2007a and2007b;WEBER and SOTELO, 2008) using non-destructive techniques (GRABIANOWSKI et al., 2006;LINDSTROM et al., 2004;MOYA and MARÍN, 2011;SOTELO et al., 2007a) should permit genetic evaluation without inhibiting tree growth.Assessment of wood properties, their correlation with morphological characteristics and changes as the tree gets older (GOH and MONTEUUIS, 2005;SOTELO et al., 2007a and2007b) are needed to determine the best age for gene...

show abstract

Section: Heritability Of Wood Propertiesmentioning

confidence: 98%

mentioning

confidence: 99%

Early genetic evaluation of morphology and some wood properties of Tectona grandis L. clones

2012

View full text Add to dashboard Cite

show abstract

“…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

158

107

View full text Add to dashboard Cite

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.

show abstract

“…Studies in radiata pine have shown that there is little evidence of a genotype x environment interaction for wood density (Burdon and Low 1992;Gapare et al 2009;Wu et al 2008). This indicates that rank changes are unlikely between families with different levels of genetic improvement across different sites.…”

Section: Discussionmentioning

confidence: 99%

Modelling the effects of genetic improvement on radiata pine wood density

Kimberley

Moore

Dungey

2016

N.Z. j. of For. Sci.

View full text Add to dashboard Cite

Background: Density is a key wood quality trait, which is moderately to highly heritable, and has been the focus of selective breeding efforts in radiata pine (Pinus radiata D.Don) in New Zealand. Forest managers require information on realised gain in wood density in order to help them make decisions about which tree stocks to plant, how to manage stands and when to harvest in order to achieve certain wood quality outcomes. The aim of this study was to quantify realised genetic gain in radiata pine wood density and to incorporate it into existing modelling systems for predicting growth and wood quality. Methods: A national model of radiata pine wood density, which predicts wood density at breast height as a function of ring number from the pith and a "local parameter", was modified to account for the effects of genetic improvement. The value of this local parameter was estimated for 679 radiata pine families with differing levels of genetic improvement (as quantified by their GF Plus rating for wood density) that were growing in 18 trials established by the Radiata Pine Breeding Company. The value of Wood Density Index (defined as the breast height outerwood density at age 20 years) was calculated from the estimate of the local parameter. Simulations were performed to show the impact of genetic improvement on whole-log average density and the variation in density within a log. Results: There was a strong positive relationship between GF Plus rating for wood density and Wood Density Index (R 2 = 0.73), with a one-unit increase in GF Plus corresponding to a 2.16 kg m −3 increase in wood density. An increase in GF Plus density rating from 18 to 27 would result in an increase in breast height outerwood density at age 20 years of 18.5 kg m

show abstract

Genetic stability of wood density and diameter in Pinus radiata D. Don plantation estate across Australia

Cited by 41 publications

References 35 publications

Early genetic evaluation of morphology and some wood properties of Tectona grandis L. clones

Early genetic evaluation of morphology and some wood properties of Tectona grandis L. clones

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

Modelling the effects of genetic improvement on radiata pine wood density

Contact Info

Product

Resources

About