Using acoustic wave velocity to select fibre-managed plantation Eucalyptus nitens logs for laminated veneer lumber products

References

• ABARES (Australian Bureau of Agricultural and Resource Economics and Sciences). 2017a. Australian plantation statistics 2017 update. Canberra: ABARES.
   Google Scholar
• ABARES. 2017b. Australian forest and wood products statistics, September and December quarters 2016. Canberra: ABARES.
   Google Scholar
• 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. Canadian Journal of Forest Research 42: 1724–1732. doi: 10.1139/x2012-105
   Web of Science ®Google Scholar
• Blackburn DP, Hamilton MG, Harwood CE, Innes TC, Potts BM, Williams D. 2010. Stiffness and checking of Eucalyptus nitens sawn boards: genetic variation and potential for genetic improvement. Tree Genetics and Genomes 6: 757–765. doi: 10.1007/s11295-010-0289-7
   Web of Science ®Google Scholar
• 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. doi: 10.3390/f5040744
   Web of Science ®Google Scholar
• Blackburn D, Vega M, Nolan G. 2018b. The potential to recover veneer based product from low grade native logs. Project no. PNB386-1516. Melbourne: Forest and Wood Products Australia.
   Google Scholar
• Blackburn D, Vega M, Yong R, Britton D, Nolan G. 2018a. Factors influencing the production of structural plywood in Tasmania, Australia from Eucalyptus nitens rotary peeled veneer. Southern Forests 80: 319–328. doi: 10.2989/20702620.2017.1420730
   Web of Science ®Google Scholar
• Burgman M, Robinson A. 2012. Review of Tasmanian forest estate wood supply scenarios. Final report to the Independent Verification Group, Intergovernmental Agreement Version 9.9, March 7, 2012. Melbourne: University of Melbourne.
   Google Scholar
• Carter P, Chauhan S, Walker J. 2006. Sorting logs and lumber for stiffness using Director HM200. Wood and Fiber Science 38: 49–54.
   Web of Science ®Google Scholar
• Dickson RL, Raymond CA, Joe W, Wilkinson CA. 2003. Segregation of Eucalyptus dunnii logs using acoustics. Forest Ecology and Management 179: 243–251. doi: 10.1016/S0378-1127(02)00519-4
   Web of Science ®Google Scholar
• Downes G, Worledge D, Schimleck L, Harwood C, French J, Beadle C. 2006. The effect of growth rate and irrigation onthe basic density and kraft pulp yield of Eucalyptus globulus and E. nitens. New Zealand Journal of Forestry 51(3): 13–22.
   Google Scholar
• Farrell R, Innes T, Nolan G. 2008. Sorting plantation Eucalyptus nitens logs with acoustic wave velocity. Project no. PN07.3018. Melbourne: Forest and Wood Products Australia Limited.
   Google Scholar
• Gaunt D, Penellum B, McKenzie HM. 2002. Eucalyptus nitens laminated veneer lumber structural properties. New Zealand Journal of Forestry Science 33: 114–125.
   Google Scholar
• Graves S, Piepho H-P, Selzer L. 2015. Package ‘multcompView’: Visualizations of paired comparisons. R package version 0.1-7. Available at https://cran.r-project.org/web/packages/multcompView/multcompView.pdf.
   Google Scholar
• Hamilton MG, Raymond CA, Harwood CE, Potts BM. 2009. Genetic variation in Eucalyptus nitens pulpwood and wood shrinkage traits. Tree Genetics and Genomes 5: 307–316. doi: 10.1007/s11295-008-0179-4
   Web of Science ®Google Scholar
• Metriguard. 2011. Veneer tester maintenance manual. Part no. LIT-MAN-1025. Revision 1.5. Pullman: Metriguard.
   Google Scholar
• McGavin LR, Bailleres H, Hamilton M, Blackburn D, Vega M, Ozarska B. 2015. Variation in rotary veneer recovery from Australian plantation Eucalyptus globulus and Eucalyptus nitens. BioResources 10: 313–329. doi: 10.15376/biores.10.4.6395-6416
   Web of Science ®Google Scholar
• 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’. Project no. PN04.3002. World Trade Centre, Victoria: Forest and Wood Products Research and Development Corporation.
   Google Scholar
• R Core Team. 2017. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.
   Google Scholar
• RWS-Engineering Oy. 2007. LVL factory pre-feasibility study. In: LVL Vigas de chapas laminadas confeccionadas con Pinus radiata y Eucalyptus nitens. Informe Técnico no. 172. Concepcion: Instituto Forestal.
   Google Scholar
• Shelbourne CJA, Nicholas ID, Mckinley RB, Low CB, Mcconnochie RM, Lausberg MJF. 2002. Wood density and internal checking of young Eucalyptus nitens in New Zealand as affected by site and height up the tree. New Zealand Journal of Forestry Science 32: 357–385.
   Google Scholar
• Standards Australia. 2010. AS1720.1 – 2010, Timber structures – design methods. Homebush: Standards Australia.
   Google Scholar
• Standards Australia/Standards New Zealand. 2005a. AS/NZS 4357.0:2005 Structural laminated veneer lumber Part 0: Specifications. Homebush: Standards Australia/Standards New Zealand.
   Google Scholar
• Standards Australia/Standards New Zealand. 2005b. AS/ NZS 4357.2:2006, Structural laminated veneer lumber (LVL) Part 2: Determination of structural properties—Test methods. Homebush: Standards Australia/Standards New Zealand.
   Google Scholar
• Standards Australia/Standards New Zealand. 2012. AS/ANZ 2269.0:2012, Plywood – structural. Part 0: Specifications. Homebush: Standards Australia/Standards New Zealand.
   Google Scholar
• USDA (United States Department of Agriculture). 1993. Effect of various proportions of juvenile wood on laminated veneer lumber. Research Paper FPL-RP-521. Madison, WI: USDA, Forest Service, Forest Products Laboratory.
   Google Scholar
• Vega M. 2016. Influence of site, storage and steaming on Eucalyptus nitens log-end splitting. PhD thesis, University of Tasmania, Australia.
   Google Scholar
• Walsh D, Strandgard M, Carter P. 2014. Evaluation of the Hitman PH330 acoustic assessment system for harvesters. Scandinavian Journal of Forest Research 29: 593–602. doi: 10.1080/02827581.2014.953198
   Web of Science ®Google Scholar