Genetic Parameters and Genotype by Environment Interactions for Green and Basic Density and Stiffness of Pinus radiata D. Don Estimated Using Acoustics

Wielinga, Benjamin; Raymond, Carolyn A; James, Ryde; Matheson, A. C.

doi:10.1515/sg-2009-0015

Cited by 18 publications

(6 citation statements)

References 22 publications

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“…Thus, outerwood correlations are high at age 16 (0.71), and moderate and high at age 12 (0.36 and 0.68). A similar situation for radiata pine in Australia has been reported by Wielinga et al (2009), with correlation of 0.64 at 12 years of age. The situation changes for corewood correlations (at the time of selection for breeding purposes), which are either weak and non-significant (0.21) or take a negative value (-0.63).…”

Section: The Effect Of Den On Moe At Current Selection Agesupporting

confidence: 84%

Sélection très précoce pour les propriétés du bois massif : détection précoce des individus les plus performants

Apiolaza

2009

Ann. For. Sci.

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Abstract• This article reviews the theoretical basis for indirect selection -where early selection is an example -and how correlated response is calculated.• The review is followed by a description of issues as to the choice of selection criteria that could explain the lack of substantial progress on breeding for wood quality. These include: the autoregressive nature of selection criteria, overemphasizing the importance of basic density as selection criterion, ignoring age-related trends of wood properties, using rotation age rather than technical thresholds as objective traits and ignoring that not all grades have identical marginal economic value.• Three data sets are either analyzed for the first time or reanalyzed under different assumptions, to explore the importance of these criticisms.• Finally, the use of critical value thresholds as very early selection criteria is suggested and discussed in the context of improving intrinsic corewood quality. Mots-clés :rigidité / sélection précoce / caractère seuil / Pinus radiata Résumé -Sélection très précoce pour les propriétés du bois massif : détection précoce des individus les plus performants.• Cet article passe en revue les bases théoriques des méthodes de sélection indirecte -parmi lesquelles figure la sélection précoce -et la manière dont le gain corrélé est calculé.• Cette revue est suivie d'une description des problèmes liés au choix des critères de sélection et qui pourraient expliquer le manque de progrès substantiel suite à l'amélioration pour les propriétés du bois. Ceux-ci incluent l'auto-corrélation des critères de sélection, l'exagération de l'importance de la densité comme critère de sélection, l'oubli de l'évolution des propriétés du bois avec l'âge cambial, l'utilisation de l'âge de révolution comme caractère-cible plutôt que des seuils techniques et l'oubli que toutes les classes de produits n'ont pas la même valeur économique marginale.• Trois jeux de données ont été soit analysés pour la première fois soit ré-analysés sous différentes hypothèses pour explorer l'importance de ces critiques.• Enfin, l'utilisation de seuils critiques comme critères de sélection très précoce est suggérée et discutée dans le cadre de l'amélioration intrinsèque de la qualité du bois juvénile.

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Section: The Effect Of Den On Moe At Current Selection Agesupporting

confidence: 84%

Sélection très précoce pour les propriétés du bois massif : détection précoce des individus les plus performants

Apiolaza

2009

Ann. For. Sci.

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“…To our knowledge there are no other published studies of G × E for AWV in eucalypts, although direct measures of MOE in Pinus radiata from two sites in southern NSW; one a cool moist site the other a warmer drier site (mean annual temperatures and rainfall, 10.9 °C, 1270 mm and 12.4 °C, 930 mm respectively) showed no significant G × E effect was present [40]. However, the stability of MOE predictions derived from AWV across sites is not well understood [41], and requires further investigation before AWV is more widely adopted as a common selection criterion in E. nitens breeding programs.…”

Section: Discussionmentioning

confidence: 79%

Acoustic Wave Velocity as a Selection Trait in Eucalyptus nitens

Blackburn

Hamilton

Williams

et al. 2014

Forests

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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. OPEN ACCESSForests 2014, 5 745

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“…Phenotypic variation arising from di- verse gene-by-environment interactions within and between sites was not accounted for in this study, whereas the discovery (Snowy Mountain Range) and validation (coastal valley in Southern Victoria) trials are strongly contrasted with respect to altitude, evapotranspiration, temperature, and soil type (New LocClim V 1.10). Quantitative evidence suggests that significant geneby-environment interactions are limited for solid wood traits in radiata pine (Baltunis et al 2007;Wielinga et al 2009). Although overall rankings may not change for quantitative studies that examine all loci simultaneously, such interactions could affect correlation of phenotype and allele segregation for individual SNPs and might explain the ''flip'' in effect of the GG homozygote for SNP64.…”

Section: ; Dalla-salda Et Al 2009mentioning

confidence: 99%

Allelic Variation in Cell Wall Candidate Genes Affecting Solid Wood Properties in Natural Populations and Land Races of Pinus radiata

Dillon

Nolan

et al. 2010

Genetics

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Forest trees are ideally suited to association mapping due to their high levels of diversity and low genomic linkage disequilibrium. Using an association mapping approach, single-nucleotide polymorphism (SNP) markers influencing quantitative variation in wood quality were identified in a natural population of Pinus radiata. Of 149 sites examined, 10 demonstrated significant associations (P , 0.05, q , 0.1) with one or more traits after accounting for population structure and experimentwise error. Without accounting for marker interactions, phenotypic variation attributed to individual SNPs ranged from 2 to 6.5%. Undesirable negative correlations between wood quality and growth were not observed, indicating potential to break negative correlations by selecting for individual SNPs in breeding programs. Markers that yielded significant associations were reexamined in an Australian land race. SNPs from three genes (PAL1, PCBER, and SUSY) yielded significant associations. Importantly, associations with two of these genes validated associations with density previously observed in the discovery population. In both cases, decreased wood density was associated with the minor allele, suggesting that these SNPs may be under weak negative purifying selection for density in the natural populations. These results demonstrate the utility of LD mapping to detect associations, even when the power to detect SNPs with small effect is anticipated to be low. N UMEROUS traits of agronomic importance are demonstrated to be under genetic control (Keurentjes et al. 2008), and there is considerable interest in characterizing the causative polymorphisms underlying their quantitative variation. In forest trees, quantitative variation in traits such as mechanical and pulping properties of wood, growth, cold hardiness, and drought acclimation are likely to result from allelic variation within multiple genes (Neale and Savolainen 2004;Oraguzie and Wilcox 2007). Because of the commercial importance of radiata pine (Pinus radiata D. Don), we are exploring the molecular basis of variation in its wood properties using an association genetics approach.Radiata pine wood properties are variable in domesticated populations and exhibit a quantitative mode of inheritance with high heritability, indicating a strong underlying genetic component. High heritabilities have been observed for solid wood traits including density, cellulose microfibril angle (MFA), and modulus of elasticy (MOE) (Baltunis et al. 2007) and for carbohydrate composition, pulp yield, fiber length, and perimeter (Evans et al. 1997;Kibblewhite 1999); and genetic control has been established for several important production traits (Kumar 2004;Dungey et al. 2006;Gapare et al. 2006;Wu et al. 2007).It is anticipated that variation in wood quality will be dependent on variation in numerous genes involved in xylogenesis. Studies of gene expression in developing xylem have revealed genes involved in spatially and temporally regulated processes such as cambial division, cell different...

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Genetic Parameters and Genotype by Environment Interactions for Green and Basic Density and Stiffness of Pinus radiata D. Don Estimated Using Acoustics

Cited by 18 publications

References 22 publications

Sélection très précoce pour les propriétés du bois massif : détection précoce des individus les plus performants

Sélection très précoce pour les propriétés du bois massif : détection précoce des individus les plus performants

Acoustic Wave Velocity as a Selection Trait in Eucalyptus nitens

Allelic Variation in Cell Wall Candidate Genes Affecting Solid Wood Properties in Natural Populations and Land Races of Pinus radiata

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