New Forests

pp 1–22 | Cite as

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

  • Henry NickolasEmail author
  • Dean Williams
  • Geoff Downes
  • Paul Tilyard
  • Peter A. Harrison
  • René E. Vaillancourt
  • Brad Potts


Eucalyptus globulus is widely grown for pulpwood production in temperate regions of the world. However, there is increasing interest in using it for solid-wood products. We studied the genetic architecture of key pulpwood and solid-wood selection traits using two E. globulus progeny trials in a high rainfall area (wet) of Tasmania and a previously studied trial in a low rainfall area (dry). These trials were established using open-pollinated families from native trees sampled from 13 subraces. We assessed traits in common [diameter at breast height (DBH) and wood basic density (BD)], and specific to pulpwood [Kraft pulp yield (KPY)] and solid-wood [stem straightness and acoustic wave velocity (AWV)] breeding. Significant genetic variation was found for all traits. Strong GxE was detected for DBH across the wet and dry sites, but little for BD and KPY. At the wet sites we show a positive genetic correlation between DBH and KPY, but not between DBH and BD. Subrace and family within subrace correlations between KPY and BD were significant but in opposite directions. We confirm previous reports of significant positive genetic and phenotypic correlations between KPY and AWV. A positive genetic correlation between stem straightness and DBH was detected, and subraces with straighter stems tended to have higher KPY. In general, correlations between most solid-wood and pulpwood traits were favourable, suggesting that past selection for pulpwood traits had neutral or favourable effects on many key solid-wood traits. We conclude that breeding for solid-wood and pulpwood are relatively compatible.


Eucalyptus globulus Genetic correlations Selection traits Pulpwood Solid-wood 



Funding for this project was under Australian Research Council (ARC) Linkage Grant LP140100506 (supported by the Southern Tree Breeding Association). Henry Nickolas acknowledges receipt of a Tasmania Graduate Research Scholarship. We thank Sustainable Timber Tasmania (STT; formerly Forestry Tasmania) for the provision and maintenance of the NW sites, and the Cooperative Research Centre for Forestry for the support of trial establishment. We also thank Hugh Fitzgerald, Crispen Marunda and Dale Thorp for their assistance in data collection, as well as the Southern Tree Breeding Association (STBA), and David Pilbeam particular, for assistance with data management.

Supplementary material

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Supplementary material 1 (DOCX 187 kb)


  1. Antony F, Jordan L, Schimleck LR, Clark A III, Souter RA, Daniels RF (2011) Regional variation in wood modulus of elasticity (stiffness) and modulus of rupture (strength) of planted loblolly pine in the United States. Can J For Res 41:1522–1533CrossRefGoogle Scholar
  2. Apiolaza L, Raymond C, Yeo B (2005) Genetic variation of physical and chemical wood properties of Eucalyptus globulus. Silvae Genet 54:160–165CrossRefGoogle Scholar
  3. Australian Bureau of Meteorology (2011) Australian climate averages: average wind velocity. Bureau of Meteorology, Commonwealth of Australia. Accessed 24 Sept 2018
  4. Belaber EC, Gauchat ME, Reis HD, Borralho NM, Cappa EP (2018) Genetic parameters for growth, stem straightness, and branch quality for Pinus elliottii var. elliottii × Pinus caribaea var. hondurensis F1 hybrid in Argentina. For Sci 64:595–608. CrossRefGoogle Scholar
  5. Blackburn D, Hamilton M, Harwood C, Innes T, Potts B, Williams D (2010) Stiffness and checking of Eucalyptus nitens sawn boards: genetic variation and potential for genetic improvement. Tree Genet Genom 6:757–765CrossRefGoogle Scholar
  6. Blackburn D, Farrell R, Hamilton M, Volker P, Harwood C, Williams D, Potts B (2012) Genetic improvement for pulpwood and peeled veneer in Eucalyptus nitens. Can J For Res 42:1724–1732CrossRefGoogle Scholar
  7. Blackburn DP, Hamilton MG, Harwood CE, Baker TG, Potts BM (2013) Assessing genetic variation to improve stem straightness in Eucalyptus globulus. Ann For Sci 70:461–470CrossRefGoogle Scholar
  8. Blackburn D, Hamilton M, Williams D, Harwood C, Potts B (2014) Acoustic wave velocity as a selection trait in Eucalyptus nitens. Forests 5:744–762. CrossRefGoogle Scholar
  9. Borralho N (1997) Genetic parameters for growth and wood density traits in Eucalyptus nitens in New Zealand. N Z J For Sci 27:237–244Google Scholar
  10. Borralho N, Cotterill P, Kanowski P (1992) Genetic parameters and gains expected from selection for dry weight in Eucalyptus globulus ssp. globulus in Portugal. For Sci 38:80–94Google Scholar
  11. Borralho NMG, Cotterill PP, Kanowski PJ (1993) Breeding objectives for pulp production of Eucalyptus globulus under different industrial cost structures. Can J For Res 23:648–656CrossRefGoogle Scholar
  12. Borzak CL, O’Reilly-Wapstra JM, Potts BM (2015) Direct and indirect effects of marsupial browsing on a foundation tree species. Oikos 124:515–524CrossRefGoogle Scholar
  13. Burdon R (1977) Genetic correlation as a concept for studying genotype-environment interaction in forest tree breeding. Silvae Genet 26:168–175Google Scholar
  14. Callister AN, England N, Collins S (2011) Genetic analysis of Eucalyptus globulus diameter, straightness, branch size, and forking in Western Australia. Can J For Res 41:1333–1343. CrossRefGoogle Scholar
  15. Chen Z-Q, Karlsson B, Wu HX (2017) Patterns of additive genotype-by-environment interaction in tree height of Norway spruce in southern and central Sweden. Tree Genet Genom 13:25. CrossRefGoogle Scholar
  16. Costa e Silva J, Potts BM, Dutkowski GW (2006) Genotype by environment interaction for growth of Eucalyptus globulus in Australia. Tree Genet Genom 2:61–75. CrossRefGoogle Scholar
  17. Costa e Silva J, Borralho NMG, Araujo JA, Vaillancourt RE, Potts BM (2009) Genetic parameters for growth, wood density and pulp yield in Eucalyptus globulus. Tree Genet Genom 5:291–305. CrossRefGoogle Scholar
  18. Costa e Silva J, Hardner C, Potts BM (2010) Genetic variation and parental performance under inbreeding for growth in Eucalyptus globulus. Ann For Sci 67:606. CrossRefGoogle Scholar
  19. Cotterill PP, Dean CA (1990) Successful tree breeding with index selection. CSIRO, Division of Forestry and Forest Products, Canberra, p 80Google Scholar
  20. Cotterill P, Macrae S (1997) Improving Eucalyptus pulp and paper quality using genetic selection and good organization. Tappi J 80:82–89Google Scholar
  21. Davies NT, Apiolaza LA, Sharma M (2017) Heritability of growth strain in Eucalyptus bosistoana: a Bayesian approach with left-censored data. N Z J For Sci 47:5CrossRefGoogle Scholar
  22. Dean G, French J, Tibbits W (1990) Variation in pulp and papermaking characteristics in a field trial of Eucalyptus globulus. In: Conference preprints proceedings of the 44th Appita annual general conference, 2nd April 1990. Rotorua, New Zealand. Australian Pulp and Paper Industry Technical Association, New ZealandGoogle Scholar
  23. Derikvand M, Nolan G, Jiao H, Kotlarewski N (2016) What to do with structurally low-grade wood from Australia’s plantation Eucalyptus; building application? BioResources 12:4–7CrossRefGoogle Scholar
  24. Dickson RL, Raymond CA, Joe W, Wilkinson CA (2003) Segregation of Eucalyptus dunnii logs using acoustics. For Ecol Manag 179:243–251CrossRefGoogle Scholar
  25. Downes GM, Hudson I, Raymond CA, Dean GH, Michell AJ, Schimleck LR, Evans R, Muneri A (1997) Sampling plantation eucalypts for wood and fibre properties. CSIRO, Canberra, p 132CrossRefGoogle Scholar
  26. Downes G, Worledge D, Schimleck L, Harwood C, French J, Beadle C (2006) The effect of growth rate and irrigation on the basic density and kraft pulp yield of Eucalyptus globulus and E. nitens. N Z J For 51:13Google Scholar
  27. Downes GM, Meder R, Hicks C, Ebdon N (2009) Developing and evaluating a multisite and multispecies NIR calibration for the prediction of kraft pulp yield in eucalypts. South For 71:155–164. CrossRefGoogle Scholar
  28. Downes G, Meder R, Bond H, Ebdon N, Hicks C, Harwood C (2011) Measurement of cellulose content, kraft pulp yield and basic density in eucalypt woodmeal using multisite and multispecies near infra-red spectroscopic calibrations. S For 73:181–186Google Scholar
  29. Downham R, Gavran M (2017) Australian plantation statistics 2017 update. Australian Bureau of Agricultural and Resources Economics and Sciences. Accessed 12 July 2018
  30. Dutkowski GW, Potts BM (1999) Geographic patterns of genetic variation in Eucalyptus globulus ssp. globulus and a revised racial classification. Aust J Bot 47:237. CrossRefGoogle Scholar
  31. Dutkowski GW, Potts BM (2012) Genetic variation in the susceptibility of Eucalyptus globulus to drought damage. Tree Genet Genom 8:757–773CrossRefGoogle Scholar
  32. Edelaar P, Björklund M (2011) If F ST does not measure neutral genetic differentiation, then comparing it with Q ST is misleading. Or is it? Mol Ecol 20:1805–1812CrossRefPubMedGoogle Scholar
  33. Eldridge KG, Davidson J, Harwood C, Gv Wyk (1993) Eucalypt domestication and breeding. Oxford University Press Inc., New YorkGoogle Scholar
  34. Evans R, Ilic J (2001) Rapid prediction of wood stiffness from microfibril angle and density. For Prod J 51:53–57Google Scholar
  35. Falconer DS (1952) The problem of environment and selection. Am Nat 86:293–298. CrossRefGoogle Scholar
  36. Farrell R, Innes TC, Harwood CE (2012) Sorting Eucalyptus nitens plantation logs using acoustic wave velocity. Aust For 75:22–30CrossRefGoogle Scholar
  37. Foelkel C (2009) Papermaking properties of Eucalyptus trees, woods, and pulp fibers. Eucalyptus Online Book & Newsletter.
  38. Freeman JS, Potts BM, Downes GM, Pilbeam D, Thavamanikumar S, Vaillancourt RE (2013) Stability of quantitative trait loci for growth and wood properties across multiple pedigrees and environments in Eucalyptus globulus. New Phytol 198:1121–1134CrossRefPubMedGoogle Scholar
  39. Gauli A, Vaillancourt RE, Bailey TG, Steane DA, Potts BM (2015) Evidence for local climate adaptation in early-life traits of Tasmanian populations of Eucalyptus pauciflora. Tree Genet Genom 11:104CrossRefGoogle Scholar
  40. Gilmour A, Gogel B, Cullis B, Welham S, Thompson R (2015) ASReml user guide release 4.1 functional specification. VSN International Ltd, Hemel HempsteadGoogle Scholar
  41. Greaves BL, Borralho NM, Raymond CA (1997) Breeding objective for plantation eucalypts grown for production of kraft pulp. For Sci 43:465–472Google Scholar
  42. Griffin A, Cotterill P (1988) Genetic variation in growth of outcrossed, selfed and open-pollinated progenies of Eucalyptus regnans and some implications for breeding strategy. Silvae Genet 37:124–131Google Scholar
  43. Hai PH, Duong LA, Toan NQ, Ha TTT (2015) Genetic variation in growth, stem straightness, pilodyn and dynamic modulus of elasticity in second-generation progeny tests of Acacia mangium at three sites in Vietnam. New For 46:577–591. CrossRefGoogle Scholar
  44. Hamilton M, Potts B (2008) Eucalyptus nitens genetic parameters. N Z J For Sci 38:102–119Google Scholar
  45. Hamilton MG, Greaves BL, Potts BM, Dutkowski GW (2007) Patterns of longitudinal within-tree variation in pulpwood and solidwood traits differ among Eucalyptus globulus genotypes. Ann For Sci 64:831–837. CrossRefGoogle Scholar
  46. Hamilton MG, Harwood CE, Potts BM (2009) The effects of drying temperature and method of assessment on the expression of genetic variation in gross shrinkage of Eucalyptus globulus wood samples. Silvae Genet 58:252–261CrossRefGoogle Scholar
  47. Hamilton MG, Potts BM, Greaves BL, Dutkowski GW (2010) Genetic correlations between pulpwood and solid-wood selection and objective traits in Eucalyptus globulus. Ann For Sci 67:10. CrossRefGoogle Scholar
  48. Hamilton MG, Williams DR, Tilyard PA, Pinkard EA, Wardlaw TJ, Glen M, Vaillancourt RE, Potts BM (2013) A latitudinal cline in disease resistance of a host tree. Heredity 110:372–379. CrossRefPubMedGoogle Scholar
  49. Hamilton MG, Acuna M, Wiedemann JC, Mitchell R, Pilbeam DJ, Brown MW, Potts BM (2015a) Genetic control of Eucalyptus globulus harvest traits. Can J For Res 45:615–624CrossRefGoogle Scholar
  50. Hamilton MG, Blackburn DP, McGavin RL, Baillères H, Vega M, Potts BM (2015b) Factors affecting log traits and green rotary-peeled veneer recovery from temperate eucalypt plantations. Ann For Sci 72:357–365CrossRefGoogle Scholar
  51. Hamilton MG, Freeman JS, Blackburn DP, Downes GM, Pilbeam DJ, Potts BM (2017) Independent lines of evidence of a genetic relationship between acoustic wave velocity and kraft pulp yield in Eucalyptus globulus. Ann For Sci 74:10. CrossRefGoogle Scholar
  52. Jordan GJ, Potts BM, Wiltshire RJ (1999) Strong, independent, quantitative genetic control of the timing of vegetative phase change and first flowering in Eucalyptus globulus ssp. globulus (Tasmanian blue gum). Heredity 83:179–187CrossRefPubMedGoogle Scholar
  53. Kien ND, Jansson G, Harwood C, Almqvist C, Thinh H (2008) Genetic variation in wood basic density and pilodyn penetration and their relationships with growth, stem straightness, and branch size for Eucalyptus urophylla in northern Vietnam. N Z J For Sci 38:160–175Google Scholar
  54. Latta RG (1998) Differentiation of allelic frequencies at quantitative trait loci affecting locally adaptive traits. Am Nat 151:283–292CrossRefPubMedGoogle Scholar
  55. Leimu R, Fischer M (2008) A meta-analysis of local adaptation in plants. PLoS ONE 3:e4010CrossRefPubMedPubMedCentralGoogle Scholar
  56. Leinonen T, McCairns RS, O’hara RB, Merilä J (2013) Q ST − F ST comparisons: evolutionary and ecological insights from genomic heterogeneity. Nat Rev Genet 14:179CrossRefPubMedGoogle Scholar
  57. Li CR, Weng QJ, Chen JB, Li M, Zhou CP, Chen SK, Zhou W, Guo DQ, Lu CX, Chen JC, Xiang DY, Gan SM (2017a) Genetic parameters for growth and wood mechanical properties in Eucalyptus cloeziana F. Muell. New For 48:33–49. CrossRefGoogle Scholar
  58. Li Y, Suontama M, Burdon RD, Dungey HS (2017b) Genotype by environment interactions in forest tree breeding: review of methodology and perspectives on research and application. Tree Genet Genom 13:60. CrossRefGoogle Scholar
  59. López GA, Potts BM, Dutkowski GW, Rodriguez Traverso J (2001) Quantitative genetics of Eucalyptus globulus: affinities of land race and native stand localities. Silvae Genet 50:244–252Google Scholar
  60. López GA, Potts BM, Dutkowski GW, Apiolaza LA, Gelid P (2002) Genetic variation and inter-trait correlations in Eucalyptus globulus base population trials in Argentina. For Genet 9:217–231Google Scholar
  61. MacDonald E, Mochan S, Connolly T (2009) Validation of a stem straightness scoring system for Sitka spruce (Picea sitchensis (Bong.) Carr.). Forestry 82:419–429. CrossRefGoogle Scholar
  62. Mahmood K, Marcar NE, Naqvi MH, Arnold RJ, Crawford DF, Iqbal S, Aken KM (2003) Genetic variation in Eucalyptus camaldulensis Dehnh. for growth and stem straightness in a provenance—family trial on saltland in Pakistan. For Ecol Manag 176:405–416. CrossRefGoogle Scholar
  63. McDonald A, Borralho N, Potts B (1997) Genetic variation for growth and wood density in Eucalyptus globulus ssp. globulus in Tasmania (Australia). Silvae Genet 46:236–241Google Scholar
  64. McGavin RL, Bailleres H, Lane F, Fehrmann J, Ozarska B (2014) Veneer grade analysis of early to mid-rotation plantation Eucalyptus species in Australia. BioResources 9:6562–6581CrossRefGoogle Scholar
  65. Meder R, Downes GM, Brawner JT, Ebdon N (2010) Understanding radial variation to aid development of methods for in-field NIR assessment of kraft pulp yield. In: Proceedings of the 2010 TAPPI PEERS conference and 9th research forum on recycling 17–20 October 2010. Norfolk, Virginia, USAGoogle Scholar
  66. Meirmans PG, Hedrick PW (2011) Assessing population structure: F ST and related measures. Mol Ecol Resour 11:5–18CrossRefGoogle Scholar
  67. Mimura M, Barbour RC, Potts BM, Vaillancourt RE, Watanabe KN (2009) Comparison of contemporary mating patterns in continuous and fragmented Eucalyptus globulus native forests. Mol Ecol 18:4180–4192. CrossRefPubMedGoogle Scholar
  68. Moore J, Gardiner B, Sellier D (2018) Tree mechanics and wind loading. In: Geitmann A, Gril J (eds) Plant biomechanics. Springer, Berlin, pp 79–106CrossRefGoogle Scholar
  69. Mora F, Serra N (2014) Bayesian estimation of genetic parameters for growth, stem straightness, and survival in Eucalyptus globulus on an Andean Foothill site. Tree Genet Genom 10:711–719. CrossRefGoogle Scholar
  70. Muneri A, Raymond C (2000) Genetic parameters and genotype-by-environment interactions for basic density, pilodyn penetration and stem diameter in Eucalyptus globulus. For Genet 7:317–328Google Scholar
  71. Nolan G, Greaves B, Washusen R, Parsons M, Jennings S (2005) Eucalypt plantations for solid wood products in Australia-a review: ‘If you don’t prune it, we can’t use it’. Forest and Wood Products Research and Development Corporation, Victoria, Australia, p 138Google Scholar
  72. O’Reilly-Wapstra JM, Miller AM, Hamilton MG, Williams D, Glancy-Dean N, Potts BM (2013) Chemical variation in a dominant tree species: population divergence, selection and genetic stability across environments. PLoS ONE 8:e58416CrossRefPubMedPubMedCentralGoogle Scholar
  73. Patterson B, Vaillancourt RE, Pilbeam DJ, Potts BM (2005) Factors affecting variation in outcrossing rate in Eucalyptus globulus. Aust J Bot 52:773–780CrossRefGoogle Scholar
  74. Poke FS, Potts BM, Vaillancourt RE, Raymond CA (2006) Genetic parameters for lignin, extractives and decay in Eucalyptus globulus. Ann For Sci 63:813–821CrossRefGoogle Scholar
  75. Potts BM, Vaillancourt RE, Jordan G, Dutkowski GW, Costa e Silva J, McKinnon G, Steane D, Volker P, Lopez G, Apiolaza L, Li Y, Marques C, Borralho N (2004) Exploration of the Eucalyptus globulus gene pool. In: Borralho N (ed) Proceedings of the Eucalyptus in a changing world, 2004. RAIZ-Instituto de Investigacao da Floresta e Papel, Aveiro, PortugalGoogle Scholar
  76. Potts BM, Hamilton MG, Pilbeam DJ (2014) Genetic improvement of temperate eucalypts in Australia. In: Ipinza R, Barros SA, Gutiérrez BC, Borralho N (eds) Mejoramiento Genético de Eucaliptos de en Chile. INFOR Instituto Forestal, Chile, pp 411–443Google Scholar
  77. Raymond CA (2000) Tree breeding issues for solid wood production. In: Proceedings of the IUFRO conference. The future of eucalypts for solid wood products, 2000. Launceston, Australia. Forest Industries Association of Tasmania, pp 265–270Google Scholar
  78. Raymond CA (2002) Genetics of Eucalyptus wood properties. Ann For Sci 59:525–531. CrossRefGoogle Scholar
  79. Raymond CA, Schimleck LR, Muneri A, Michel A (2001) Genetic parameters and genotype-by-environment interactions for pulp-yield predicted using near infrared reflectance analysis and pulp productivity in Eucalyptus globulus. For Genet 8:213–214Google Scholar
  80. Rezende GDSP, Resende MDV, Assis TF (2014) Eucalyptus breeding for clonal forestry. In: Fenning T (ed) Challenges and opportunities for the world’s forests in the 21st century. Springer, Dordrecht, pp 393–424. CrossRefGoogle Scholar
  81. Rhys D, Mijo G (2018) Australian plantation statistics 2018 update. Australian Bureau of Agricultural and Resource Economics and Sciences, CanberraGoogle Scholar
  82. Robertson A (1959) The sampling variance of the genetic correlation coefficient. Biometrics 15:469–485. CrossRefGoogle Scholar
  83. Salas M, Nieto V, Perafán L, Sánchez A, Borralho NMG (2014) Genetic parameters and comparison between native and local landraces of Eucalyptus globulus Labill. ssp. globulus growing in the central highlands of Colombia. Ann For Sci 71:405–414. CrossRefGoogle Scholar
  84. Santos PETd, Geraldi IO, Garcia JN (2004) Estimates of genetic parameters of wood traits for sawn timber production in Eucalyptus grandis. Genet Mol Biol 27:567–573CrossRefGoogle Scholar
  85. Smith DM (1954) Maximum moisture content method for determining specific gravity of small wood samples. United States Department of Agriculture, MadisonGoogle Scholar
  86. Stackpole DJ, Vaillancourt RE, de Aguigar M, Potts BM (2010a) Age trends in genetic parameters for growth and wood density in Eucalyptus globulus. Tree Genet Genom 6:179–193. CrossRefGoogle Scholar
  87. Stackpole DJ, Vaillancourt RE, Downes GM, Harwood CE, Potts BM (2010b) Genetic control of kraft pulp yield in Eucalyptus globulus. Can J For Res 40:917–927. CrossRefGoogle Scholar
  88. Stackpole DJ, Vaillancourt RE, Alves A, Rodrigues J, Potts BM (2011) Genetic variation in the chemical components of Eucalyptus globulus wood. G3 (Bethesda) 1:151–159. CrossRefGoogle Scholar
  89. Steane DA, Conod N, Jones RC, Vaillancourt RE, Potts BM (2006) A comparative analysis of population structure of a forest tree, Eucalyptus globulus (Myrtaceae), using microsatellite markers and quantitative traits. Tree Genet Genom 2:30–38CrossRefGoogle Scholar
  90. Tambarussi EV, Pereira FB, da Silva PHM, Lee D, Bush D (2018) Are tree breeders properly predicting genetic gain? A case study involving Corymbia species. Euphytica 214:150CrossRefGoogle Scholar
  91. Turner CH, Balodis V, Dean GH (1983) Variability in pulping quality of E. globulus from Tasmanian provenances. Appita 36:371–376Google Scholar
  92. Vikram V, Cherry ML, Briggs D, Cress DW, Evans R, Howe GT (2011) Stiffness of Douglas-fir lumber: effects of wood properties and genetics. Can J For Res 41:1160–1173CrossRefGoogle Scholar
  93. Volker PW, Orme RK (1988) Provenance trials of Eucalyptus globulus and related species in Tasmania. Aust For 51:257–265. CrossRefGoogle Scholar
  94. Yang J, Evans R (2003) Prediction of MOE of eucalypt wood from microfibril angle and density. Eur J Wood Wood Prod 61:449–452CrossRefGoogle Scholar
  95. Yang R-C, Yeh FC, Yanchuk AD (1996) A comparison of isozyme and quantitative genetic variation in Pinus contorta ssp. latifolia by FST. Genetics 142:1045–1052PubMedPubMedCentralGoogle Scholar
  96. Zar JH (1999) Multiple regression and correlation. In: Biostatistical analysis, 5 edn. Pearson Education, London, pp 419–457Google Scholar
  97. Zobel BJ, Van Buijtenen JP (1989) Wood variation and wood properties. Wood variation. Springer, Berlin, pp 1–32CrossRefGoogle Scholar

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Authors and Affiliations

  1. 1.School of Natural Sciences and ARC Training Centre for Forest ValueUniversity of TasmaniaHobartAustralia
  2. 2.Sustainable Timber Tasmania (STT)HobartAustralia
  3. 3.Forest Quality Pty. Ltd.HuonvilleAustralia

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