Genetic correlations among pulpwood and solid-wood selection traits in Eucalyptus globulus

Nickolas, Henry; Williams, Danielle; Downes, Geoffrey M.; Tilyard, Paul; Harrison, Peter A.; Vaillancourt, René E.; Potts, Brad M.

doi:10.1007/s11056-019-09721-0

Cited by 10 publications

(11 citation statements)

References 65 publications

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“…The phenotypic correlations among wood quality traits found in this study are, in general, similar to results reported for other woody species [38,39,42,47]. Kraft pulp yield was correlated with alpha cellulose, glucose, and galactose, and negatively correlated with insoluble lignin.…”

Section: Discussionsupporting

confidence: 88%

“…Basic density was positively correlated with pulp yield, alpha cellulose, arabinose, galactose, rhamnose, and mannose, showing its interdependency with cellulose contents in the xylem cell wall. This significant, positive basic density correlation with pulp yield is not typically seen in eucalypts, with no correlation or lower values reported [38,39,42].…”

Section: Discussionmentioning

confidence: 73%

“…When comparing with other important Acacia species, A. crassicarpa (AC) showed higher basic density than A. mangium (AM), similar basic density to A. mangium x A. auriculiformis hybrid (AMxAA), and lower basic density than A. auriculiformis (AA) [27,32,33,35]; the pulp yield was higher than AM [23]; the alpha cellulose was similar to AM and AMxAA, and significantly higher than AA [35]; lignin values were lower than AM, AA, and AMxAA reported by Yahya et al [35], but similar to AMxAA reported by Rafaedah et al [32]. Comparing AC with eucalypts, comparable values in lignin and cellulose contents were found for urograndis hybrids at similar age [38,40], and kraft pulp yield in the same ranges was reported for E. globulus [14,[38][39][40] at ages ranging from 10-16 years and higher wood density. Regarding the S/G ratio, the low mean with a narrow range (1.5-1.8) found for AC in our study is somewhat different from typical S/G ranges reported for eucalyptus species and hybrids [40][41][42].…”

Section: Discussionmentioning

confidence: 84%

“…For other relevant species of the Acacia genus, a collection of studies dealing with different wood properties supports an ample understanding of the phenotypic variation found in the genus, as shown for A. mangium [23][24][25][26][27], A. auriculiformis [28,29], and their interspecific hybrid [30][31][32][33][34][35][36]. Moreover, there is abundant literature dealing with wood quality traits for other important tree species commercially planted worldwide, contextualizing wood quality traits variation in a wider range of tree species, as shown for eucalypts [37][38][39][40][41][42][43], pines [44][45][46][47][48], and poplars [49][50][51]. Generally, wood quality traits show intermediate to strong genetic control, with greater genetic stability across environments than growth traits, with the tree's phenotype providing a reliable indicator of its genetic merit, making wood quality traits amenable to genetic advancement through selection [52,53].…”

Section: Introductionmentioning

confidence: 93%

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Wood and Pulping Properties Variation of Acacia crassicarpa A.Cunn. ex Benth. and Sampling Strategies for Accurate Phenotyping

Martins

Yuliarto²,

Antes³

et al. 2020

Forests

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Research Highlights: This study provides a comprehensive set of wood and pulping properties of Acacia crassicarpa A.Cunn. ex Benth. to assess variation and efficient sampling strategies for whole-tree level phenotyping. Background and Objectives: A. crassicarpa is an important tree species in Southeast Asia, with limited knowledge about its wood properties. The objective of this study was to characterize important wood properties and pulping performance of improved germplasm of the species. Furthermore, we investigated within-tree patterns of variation and evaluated the efficiency of phenotyping strategies. Materials and Methods: Second-generation progeny trials were studied, where forty 50-month-old trees were selected for destructive sampling and assessed for wood density, kraft pulp yield, α-cellulose, carbohydrate composition, and lignin content and composition (S/G ratio). We estimated the phenotypic correlations among traits determined within-tree longitudinal variation and its importance for whole-tree level phenotyping. Results: The mean whole-tree disc basic density was 481 kg/m3, and the screened kraft pulp yield was 53.8%. The reliabilities of each sampling position to predict whole-tree properties varied with different traits. For basic density, pulp yield, and glucose content, the ground-level sampling could reliably predict the whole-tree property. With near infrared reflectance spectroscopy predictions as an indirect measurement method for disc basic density, we verified reduced reliability values for breast height sampling but sufficiently correlated to allow accurate ranking and efficient selection of genotypes in a breeding program context. Conclusions: We demonstrated the quality of A. crassicarpa as a wood source for the pulping industry. The wood and pulping traits have high levels of phenotypic variation, and standing tree sampling strategies can be performed for both ranking and high-accuracy phenotyping purposes.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 73%

Section: Discussionmentioning

confidence: 84%

Section: Introductionmentioning

confidence: 93%

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Wood and Pulping Properties Variation of Acacia crassicarpa A.Cunn. ex Benth. and Sampling Strategies for Accurate Phenotyping

Martins

Yuliarto²,

Antes³

et al. 2020

Forests

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“…Therefore, it is possible that deviations of the common-garden conditions from the natural environments of the populations may have affected trait (co)variation at both the within-and among-population levels, as a result of genotype-by-environment interaction. However, multiple common-garden experiments of E. globulus have shown that wood properties exhibit relatively low genotype-by-environment interaction, particularly when compared to growth traits [95,105,106].…”

Section: Discussionmentioning

confidence: 99%

Population Divergence along a Genetic Line of Least Resistance in the Tree Species Eucalyptus globulus

Silva

Potts

Harrison

2020

Genes

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The evolutionary response to selection depends on the distribution of genetic variation in traits under selection within populations, as defined by the additive genetic variance-covariance matrix (G). The structure and evolutionary stability of G will thus influence the course of phenotypic evolution. However, there are few studies assessing the stability of G and its relationship with population divergence within foundation tree species. We compared the G-matrices of Mainland and Island population groups of the forest tree Eucalyptus globulus, and determined the extent to which population divergence aligned with within-population genetic (co)variation. Four key wood property traits exhibiting signals of divergent selection were studied—wood density, extractive content, and lignin content and composition. The comparison of G-matrices of the mainland and island populations indicated that the G-eigenstructure was relatively well preserved at an intra-specific level. Population divergence tended to occur along a major direction of genetic variation in G. The observed conservatism of G, the moderate evolutionary timescale, and close relationship between genetic architecture and population trajectories suggest that genetic constraints may have influenced the evolution and diversification of the E. globulus populations for the traits studied. However, alternative scenarios, including selection aligning genetic architecture and population divergence, are discussed.

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Using ensemble learning to model climate associated variation in wood properties of planted Eucalyptus nitens in north-western Tasmania

et al. 2022

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Genetic correlations among pulpwood and solid-wood selection traits in Eucalyptus globulus

Cited by 10 publications

References 65 publications

Wood and Pulping Properties Variation of Acacia crassicarpa A.Cunn. ex Benth. and Sampling Strategies for Accurate Phenotyping

Wood and Pulping Properties Variation of Acacia crassicarpa A.Cunn. ex Benth. and Sampling Strategies for Accurate Phenotyping

Population Divergence along a Genetic Line of Least Resistance in the Tree Species Eucalyptus globulus

Using ensemble learning to model climate associated variation in wood properties of planted Eucalyptus nitens in north-western Tasmania

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