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Genetic effects on wood quality traits of plantation-grown white spruce (Picea glauca) and their relationships with growth

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Abstract

Clonal repeatabilities on individual tree (\( H_i^2 \)) and clonal mean (\( H_{{\overline C }}^2 \)) bases for growth (14-year height and volume), wood quality traits (latewood proportion, wood density, fiber length, and microfibril angle), and genotypic correlations among the traits were estimated, using 30 white spruce (Picea glauca [Moench] Voss) clones from six full-sib families (five per family). These families were selected from a clonally replicated test to represent different early growth categories: fast, moderate, and slow. Wood increment cores of the 30 clones were collected from two contrasting sites at age 19 years. For growth traits, in contrast to most wood quality traits, more genetic variation was accounted for by clone within family than by family within growth category. Both growth and wood quality traits appear to be under moderate genetic control, with \( \widehat{H}_i^2 = 0.20 - 0.36 \) and \( \widehat{H}_{{\overline C }}^2 = 0.70 - 0.83 \). The only exception was microfibril angle (\( \widehat{H}_i^2 = 0.10\;{\text{and}}\;\widehat{H}_{{\overline C }}^2 = 0.34 \)). Generally, faster growth resulted in a significantly lower latewood proportion and lower overall wood density. Selection for faster growth does not appear to impact on either fiber length or microfibril angle. Among the wood quality traits, significant genotypic association was observed only between latewood proportion and wood density. Despite the generally negative association between growth and wood density among families, several fast-growing clones maintained above-average density. This implies that, by adopting multiclonal forestry, one can simultaneously improve growth and wood density.

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References

  • Abdel-Gadir AY, Krahmer RL (1993) Estimating the age of demarcation of juvenile and mature wood in Douglas-fir. Wood Fiber Sci 25:242–249

    Google Scholar 

  • Akesson M, Bensch S, Hasselquist D, Tarka M, Hansson B (2008) Estimating heritabilities and genetic correlations: comparing the ‘animal model’ with parent–offspring regression using data from a natural population. PLoS One 3:1–10

    Article  Google Scholar 

  • Bergander AJ, Brändström J, Daniel G, Salmén L (2002) Fibril angle variability in earlywood of Norway spruce using soft rot cavities and polarisation confocal microscopy. J Wood Sci 48:255–263

    Article  CAS  Google Scholar 

  • Bouffier L, Raffin A, Rozenberg P, Meredieu C, Kremer A (2009) What are the consequences of growth selection on wood density in the French maritime pine breeding programme? Tree Gene Genom 5:11–25

    Article  Google Scholar 

  • Cameron AD, Lee SJ, Livingston AK, Petty JA (2005) Influence of selective breeding on the development of juvenile wood in Sitka spruce. Can J For Res 35:2951–2960

    Article  Google Scholar 

  • Cave ID, Walker JFC (1994) Stiffness of wood in fast-grown plantation softwoods: the influence of microfibril angle. For Prod J 44:43–48

    Google Scholar 

  • Corriveau A, Beaulieu J, Daoust G (1991) Heritability and genetic correlations of wood characters of Upper Ottawa Valley white spruce populations grown in Quebec. For Chron 67:698–705

    Google Scholar 

  • Corriveau A, Beaulieu J, Mothe F (1987) Wood density of natural white spruce populations in Quebec. Can J For Res 17:675–682

    Article  Google Scholar 

  • Costa e Silva J, Wellendorf H, Pereira H (1998) Clonal variation in wood quality and growth in young Sitka spruce (Picea sitchensis (Bong.) Carr.): estimation of quantitative genetic parameters and index selection for improved pulpwood. Silvae Genet 47:20–33

    Google Scholar 

  • Eriksson T, Fries A (2004) Genetic analysis of fibre size in a full-sib Pinus sylvestris L. progeny test. Scand J For Res 19:7–13

    Article  Google Scholar 

  • Hannrup B, Cahalan C, Chantre G et al (2004) Genetic parameters of growth and woody quality traits in Picea abies. Scand J For Res 19:14–29

    Article  Google Scholar 

  • Herman M, Dutilleul P, Avella-Shaw T (1999) Growth rate effects on intra-ring and inter-ring trajectories of microfibril angle in Norway spruce (Picea abies). IAWA J 20:3–21

    Google Scholar 

  • Honer TG, Ker MF, Alemdag IS (1983) Metric timber tables for the commercial tree species of central and eastern Canada. Inf Rep M-X-140. Nat Res Can, Can For Serv—Atl For Ctr, Fredericton

  • Hylen G (1997) Genetic variation of wood density and its relationship with growth traits in young Norway spruce. Silvae Genet 46:55–60

    Google Scholar 

  • Hylen G (1999) Age trends in genetic parameters of wood density in young Norway spruce. Can J For Res 29:135–143

    Article  Google Scholar 

  • Khalil MAK (1985) Genetics of wood characters of black spruce (Picea mariana (Mill.) B.S.P.) in Newfoundland, Canada. Silvae Genet 34:221–230

    Google Scholar 

  • Lindström H (1996) Basic density in Norway spruce. Part III. Development from pith outwards. Wood Fiber Sci 28:391–405

    Google Scholar 

  • Littell RC, Milliken GA, Stroup WW, Wolfinger RD, Schabenberger O (2006) SAS® for mixed models, 2nd edn. SAS Institute Inc., Cary

    Google Scholar 

  • Livingston AK, Cameron AD, Petty JA, Lee SJ (2004) Effect of growth rate on wood properties of genetically improved Sitka spruce. Forestry 77:325–334

    Article  Google Scholar 

  • Louzada J, Fonseca FMA (2002) The heritability of wood density components in Pinus pinaster Ait. and the implications for tree breeding. Ann For Sci 59:867–873

    Article  Google Scholar 

  • Lundgren C (2004) Microfibril angle and density patterns of fertilized and irrigated Norway spruce. Silva Fenn 38:107–117

    Google Scholar 

  • MacDonald E, Hubert J (2002) A review of the effects of silviculture on timber quality of Sitka spruce. Forestry 75:107–138

    Article  Google Scholar 

  • Megraw RA, Leaf G, Bremer D (1998) Longitudinal shrinkage and microfibril angle in loblolly pine. In: Butterfield BG (ed) Microfibril angle in wood. University of Canterbury Press, Christchurch, pp 27–61

    Google Scholar 

  • Micko MM, Wang EIC, Taylor FW, Yanchuk AD (1982) Determination of wood specific gravity in standing white spruce using a pilodyn tester. For Chron 58:178–180

    Google Scholar 

  • Monteoliva S, Senisterra G, Marlats R (2005) Variation of wood density and fibre length in six willow clones (Salix spp.). IAWA J 26:197–202

    Google Scholar 

  • Pedini M (1992) The variation in the microfibrillar angle within the juvenile wood of sitka spruce. IAWA J 13:261

    Google Scholar 

  • Pot D, Chantre G, Rozenberg P, Rodrigues JC, Lloyd JG, Pereira H, Hannrup B, Cahalan C, Plomion C (2002) Genetic control of pulp and timber properties in maritime pine (Pinus pinaster Ait.). Ann For Sci 59:563–575

    Article  Google Scholar 

  • Raymond CA, Anderson DW (2005) Prior land-use influences wood properties of Pinus radiata in New South Wales. N Z J For Sci 35:72–90

    Google Scholar 

  • Rozenberg P, Cahalan C (1997) Spruce and wood quality: genetic aspects (a review). Silvae Genet 46:270–279

    Google Scholar 

  • Taylor FW, Wang EI, Yanchuk A, Micko MM (1982) Specific gravity and tracheid length variation of white spruce in Alberta. Can J For Res 12:561–566

    Article  Google Scholar 

  • Ukrainetz NK, Kang K-Y, Aitken SN, Stoehr M, Mansfield SD (2008) Heritability, phenotypic and genetic correlations of coastal Douglas-fir (Pseudotsuga menziesii) wood quality traits. Can J For Res 38:1536–1546

    Article  CAS  Google Scholar 

  • Weng YH, Park YS, Krasowski MJ, Tosh KJ, Adams G (2008) Partitioning of genetic variance and selection efficiency for alternative vegetative deployment strategies for white spruce in Eastern Canada. Tree Gene Genom 4:809–819

    Article  Google Scholar 

  • Weng YH, Tosh KJ, Fullarton MS (2010) Determining and projecting realized genetic gains: results from early-stage spruce improvement programs in New Brunswick, Canada. N Z J For Sci 40:5–17

    Article  Google Scholar 

  • Weng YH, Tosh KJ, Fullarton MS (2011) Effects of height-growth selection on wood density in black spruce in New Brunswick, Canada. For Chron 87(1):116–121

    Google Scholar 

  • Wimmer R, Downes G, Evans R, French J (2008) Effects of site on fibre, kraft pulp and handsheet properties of Eucalyptus globulus. Ann For Sci 65:602–608

    Article  Google Scholar 

  • Yanchuk AD, Kiss GK (1993) Genetic variation in growth and wood specific gravity and its utility in the improvement of interior spruce in British Columbia. Silvae Genet 42:141–148

    Google Scholar 

  • Zelazny VF, Martin GL, Toner M et al (2007) Our landscape heritage: the story of ecological land classification in New Brunswick, 2nd edn. New Brunswick Department of Natural Resources, Fredericton

    Google Scholar 

  • Zhang SY (1995) Effect of growth rate on wood specific gravity and selected mechanical properties from distinct wood categories. Wood Sci Technol 29:451–465

    Article  CAS  Google Scholar 

  • Zhang SY (1998) Effect of age on the variation, correlations and inheritance of selected wood characteristics in black spruce (Picea mariana). Wood Sci Technol 32:197–204

    CAS  Google Scholar 

  • Zhang SY, Jiang ZH (1998) Variability of selected wood characteristics in 40 half-sib families of black spruce (Picea mariana). Wood Sci Technol 32:71–82

    Article  CAS  Google Scholar 

  • Zhang SY, Morgenstern EK (1995) Genetic variation and inheritance of wood density in black spruce (Picea mariana) and its relationship with growth: implications for tree breeding. Wood Sci Technol 30:63–75

    Article  Google Scholar 

  • Zobel BJ, Jett JB (1995) Genetics of wood production. Springer, Berlin, p 337

    Book  Google Scholar 

Download references

Acknowledgments

We thank the New Brunswick Tree Improvement Council for providing help for the sample collection. We thank Dale Simpson and Greg Adams for their valuable comments on an earlier version of the manuscript and Caroline Simpson for editing. Valuable comments/suggestions from Dr. R. Burdon and two reviewers are also gratefully acknowledged.

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Correspondence to Yill-Sung Park.

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Communicated by R. Burdon

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Park, YS., Weng, Y. & Mansfield, S.D. Genetic effects on wood quality traits of plantation-grown white spruce (Picea glauca) and their relationships with growth. Tree Genetics & Genomes 8, 303–311 (2012). https://doi.org/10.1007/s11295-011-0441-z

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