Selection efficiency for solid wood traits in Pinus taeda using time-of-flight acoustic and micro-drill resistance methods

Forest Science

Volumn 56, Issue 3, 2010, Pages 233-241

  Eckard, Jonathan T ^a   Isik, Fikret ^a   Bullock, Bronson ^a   Li, Bailian ^a   Gumpertz, Marcia ^a  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

Clonal forestry; Modulus of elasticity; Modulus of rupture; Nondestructive testing; Wood density

Indexed keywords

ALTERNATIVE METHODS; AMPLITUDE MEASUREMENTS; CLONAL FORESTRY; CLONAL SELECTION; COST EFFICIENCY; DRILL RESISTANCE; FIELD TEST; GENETIC CORRELATION; INDIRECT MEASUREMENTS; LABORATORY ANALYSIS; LABORATORY TEST; LOBLOLLY PINE; MICRO DRILLS; MICRO-DRILLING; MODULUS OF ELASTICITY; MODULUS OF RUPTURE; NON DESTRUCTIVE TESTING; PINUS TAEDA; RESISTOGRAPH; SELECTION INDEXES; SOLID WOOD PROPERTIES; SOLID WOODS; STRESS WAVE; TIME OF FLIGHT; TREE IMPROVEMENT PROGRAM; WOOD DENSITY; WOOD SPECIMENS; WOOD STIFFNESS;

CONCRETE BRIDGES; DRILLS; ELASTIC CONSTANTS; ELASTIC MODULI; ELASTICITY; HARDWOODS; MEASUREMENTS; NONDESTRUCTIVE EXAMINATION; TIMBER;

FORESTRY;

CLONES; CONCRETE; ELASTIC STRENGTH; ELASTICITY; FORESTRY; FORESTS; HARDWOODS; NONDESTRUCTIVE TESTS; STIFFNESS; WOOD DENSITY;

PINUS TAEDA;

EID: 77953886512     PISSN: 0015749X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (33)

1. Astm International. 2009. Annual book of ASTM standards. Vol. 4.10. ASTM International, Philadelphia, PA. 808 p.
2. Brashaw, B.K., R.J. Vatalaro, J.P. Wacker, and R.J. Ross. 2005. Condition assessment of timber bridges: 1. Evaluation of a micro-drilling resistance tool. Gen. Tech. Rep. FPL-GTR-159. US For. Serv., Forest Products Laboratory, Madison, WI. 8 p.
3. Chantre, G., and P. Rozenberg. 1997. Can drill resistance profiles (Resistograph) lead to within-profile and within-ring density parameters in Douglas-fir wood? P. 41-47 in Proceed-ings of CTIA-International wood quality workshop: Timber management toward wood quality and end-product value, Quebec, QC, 18-22 August 1997, Zhang, S.Y., R. Gosselin, and G. Chauret (eds.). Forintek Canada Corp., Sainte-Foy, QC, Canada.
4. Cown, D.J. 1978. Comparison of the Pilodyn and Torsiometer methods for the rapid assessment of wood density in living trees. For. Sci. 8(3):384-391.
5. Dickson, R.L., C.A. Raymond, W. Joe, and C.A. Wilkinson. 2003. Segregation of Eucalyptus dunnii logs using acoustics. For. Ecol. Manag. 179:243-251.
6. Emerson, R.N., D.G. Pollock, J.A. Kainz, K.J. Fridley, D.L. McLean, and R.J. Ross. 1998. Nondestructive evaluation techniques for timber bridges. P. 670-677 in Proc. of 5th World conference on timber engineering, Natterer, J., and J.-L. Sandoz (eds.). Presses Polytechniques et Universitaires Romandes, Montreux, Switzerland.
7. Evans, R., and J. Ilic. 2001. Rapid prediction of wood stiffness from microfibril angle and density. Wood Eng. 51(3):53-57.
8. Falconer, D.S., and T.F.C. Mackay. 1996. Introduction to quantitative genetics. 4th ed. Longman Group Ltd., Harlow, UK. 464 p.
9. Gartner, B.L. 2005. Assessing wood characteristics and wood quality in intensively managed plantations. J. For. 103(2): 75-77.
10. Gilmour, A.R., B.J. Gogle, B.R. Cullis, S.J. Welham, and R. Thomson. 2002. ASREML user guide. Release 1.0. VSN International, Hemel Hempstead, UK.
11. Huber, D., L. Parisi, G. Powell, G. Peter, and X. Li. 2006. Corewood stiffness in slash pine. Pp. 13-21 in Cooperative ge-netics research program: 48th annual progress report. School of Forest Resources and Conservation, Institute of Food and Agri-cultural Sciences, University of Florida, Gainesville, FL.
12. Isik, F., and B. Li. 2003. Rapid assessment of wood density of live trees using the Resistograph for selection in tree improvement programs. Can. J. For. Res. 33(12):2426-2435.
13. Jacques, D., M. Marchal, and Y. Curnel. 2004. Relative efficiency of alternative methods to evaluate wood stiffness in the frame of hybrid larch (Larix eurolepis Henry) clonal selection. Ann. For. Sci. 61:35-43.
14. Koch, L., and L. Fins. 2000. Genetic variation in wood specific gravity from progeny tests of ponderosa pine (Pinus ponderosa Laws.) in northern Idaho and Western Montana. Silvae Genet. 49(4-5):174-181.
15. Kretschmann, D.E., and B.A. Bendtsen. 1992. Ultimate tensile stress and modulus of elasticity of fast-grown plantation loblolly pine lumber. Wood Fiber Sci. 24(2):189-203.
16. Kumar, S., K.J.S. Jayawickrama, J. Lee, and M. Lausberg. 2002. Direct and indirect measures of stiffness and strength show high heritability in a wind-pollinated radiata pine progeny test in New Zealand. Silvae Genet. 51(5-6):256-261.
17. Libby, W.J., and R.M. Rauter. 1984. Advantages of clonal forestry. For. Chron. 60:145-149.
18. Lin, C., S. Wang, F. Lin, and C. Chiu. 2003. Effect of moisture content on the drill resistance value in Taiwania plantation wood. Soc. Wood Sci. Technol. 35(2):234-238.
19. Lindstrom, H., P. Harris, C.T. Sorensson, and R. Evans. 2004. Stiffness and wood variation of 3-year old Pinus radiate clones. Wood Sci. Technol. 38:579-597.
20. Lynch, M., and B. Walsh. 1998. Genetics and analysis of quantitative traits. Sinauer Associates, Inc., Sunderland, MA. 980 p.
21. Mahon, J.M.,L. Jordan, L.R. Schimleck, A. Clark, and R.F. Daniels. 2009. A comparison of sampling methods for a standing tree acoustic devise. South. J. Appl. For. 33(2):62-68.
22. Matheson, C.L., R.L. Dickson, D.J. Spencer, B. Joe, and J. Ilic. 2002. Acoustic segregation of Pinus radiata logs according to stiffness. Ann. For. Sci. 59:471-477.
23. Megraw, R.A. 1985. Wood quality factors in loblolly pine. The influence of tree age, position in tree, and cultural practice on wood specific gravity, fiber length, and fibril angle. Tappi Press, Norcross, GA. 98 p.
24. Park, Y.S., J.D. Barrett, and J.M. Bonga. 1998. Application of somatic embryogenesis in high-value clonal forestry: Deployment, genetic control, and stability of cryopreserved clones. In Vitro Cell. Dev. Biol. Plant 34(3):231-239.
25. Rinn, F., F.H. Schweingruber, and E. Schar. 1996. Resisto-graph and X-ray density charts of wood comparative evaluation of drill resistance profiles and X-ray density charts of different wood species. Holzforsch. 50(4):303-311.
26. SAS INSTITUTE, INC. 2004. SAS/STAT 9.1 user's guide. SAS Institute, Inc., Cary, NC.
27. Schimleck, L.R., C. Mora, and R.F. Daniels. 2003. Estimation of the physical wood properties of green Pinus taeda radial wood samples by near infrared spectroscopy. Can. J. For. Res. 33:2297-2305.
28. Tsehaye, A., A.H. Buchanan, and J.C.F. Walker. 2000a. Se-lecting trees for structural timber. Holz Roh Werkst. 58: 162-167.
29. Tsehaye, A., A.H. Buchanan, and J.C.F. Walker. 2000b. Sort-ing of logs using acoustics. Wood Sci. Technol. 34:337-344.
30. Wang, X., R.J. Ross, M. Mcclellan, R.J. Barbour, J.R. Erickson, J.W. Forsman, and G.D. Mcginnis. 2000. Strength and stiffness assessment of standing trees using a nondestructive stress wave technique. Res. Paper FPL-RP-585. US For. Serv., Forest Products Laboratory, Madison, WI. 9 p.
31. Winistorfer, P.M., W. Xu, and R. Wimmer. 1995. Application of a drill resistance technique for density profile measurement in wood composite panels. For. Prod. J. 45(6):90-93.
32. Yang, J.L., and R. Evans. 2003. Prediction of MOE of eucalypt wood from microfibril angle and density. Holz Roh Werkst. 61:449-452.
33. Zobel, B.J., and J.P. Van Buijtenen. 1989. Wood variation: Its causes and control. Springer series in wood science. Springer-Verlag, New York, NY. 363 p.