Genetic variation in Pinus taeda wood properties predicted using non-destructive techniques

Annals of Forest Science

Volumn 68, Issue 2, 2011, Pages 283-293

  Isik, Fikret ^c   Mora, Christian R ^a   Schimleck, Laurence R ^b  

^a Bioforest SA Chile   (Chile)

^b UNIVERSITY OF GEORGIA   (United States)

^c NONE

Author keywords

Genetic variation; Heritability; Non destructive techniques; Pinus taeda; Wood properties

Indexed keywords

CALIBRATION; CONIFEROUS TREE; CORRELATION; DIAMETER; ELASTICITY; GENETIC VARIATION; HERITABILITY; LOGISTICS; NUMERICAL MODEL; WOOD QUALITY;

PINUS TAEDA;

EID: 80051536961     PISSN: 12864560     EISSN: 1297966X     Source Type: Journal    
DOI: 10.1007/s13595-011-0035-9     Document Type: Article

References (41)

1. Atwood RA, White TL, Huber DA (2002) Genetic parameters and gains for growth and wood properties in Florida source loblolly pine in the southeastern United States. Can J For Res 32(6):1025-1038 (Pubitemid 35409702)
2. Auty D, Achim A (2008) The relationship between standing tree acoustic assessment and timber quality in Scots pine and the practical implications for assessing timber quality from naturally regenerated stands. Forestry 81(4):475-487
3. ASTM International (2009) Annual book of ASTM standards, vol 4.10. ASTM International, Philadelphia, 808 pages
4. Byram TD, Mullin TJ, White TL, van Buijtenen JP (2005) The future of tree improvement in the southeastern United States: alternative visions for the next decade. South J Appl For 29(2):88-95 (Pubitemid 41372202)
5. Chauhan S, Donnelly R, Huang CL et al (2006) Wood quality: multifaceted opportunities. In: Walker JC (ed.), Primary wood processing. Principles and practice, 2nd edition. Springer, Dordrecht, The Netherlands, pp 159-202
6. Cogdill RP, Dardenne P (2004) Least-squares support vector machines for chemometrics: an introduction and evaluation. J Near Infrared Spectrosc 12(2):93-100 (Pubitemid 39107761)
7. Da Silva Perez D, Guillemain A, Alazard P, Plomion C, Rozenberg P, Rodrigues JC, Alves A, Chantre G (2007) Improvement of Pinus pinaster Ait elite trees selection by combining near infrared spectroscopy and genetic tools. Holzforschung 61(6):611-622 (Pubitemid 350059613)
8. Eckard TJ, Isik F, Bullock B, Li B, Gumpertz M (2010) Selection efficiency for solid wood traits in Pinus taeda using time-offlight acoustic and micro-drill resistance methods. For Sci 56(3):233-241
9. Evans R (1994) Rapid measurement of the transverse dimensions of tracheids in radial wood sections from Pinus radiata. Holzforschung 48(2):168-172
10. Evans R (1999) A variance approach to the X-ray diffractometric estimation of microfibril angle in wood. Appita J 52(4):283-294
11. Evans R, Ilic J (2001) Rapid prediction of wood stiffness from microfibril angle and density. For Prod J 51:53-57 (Pubitemid 32279088)
12. Evans R (2006) Wood stiffness by X-ray diffractometry. In: Stokke D, Groom L (eds) Characterization of the cellulosic cell wall. Blackwell, Ames, pp 138-146
13. Falconer DS, Mackay T F C (1996) Introduction to quantitative genetics, 4th edn. Longman Group Ltd., Harlow
14. Gapare WJ, Ivkovic M, Baltunis BS, Matheson CA, Wu HX (2010) Genetic stability of wood density and diameter in Pinus radiata D. Don plantation estate across Australia. Tree Gen Genom 6:113-125
15. Gilmour AR, Gogel BJ, Cullis BR, Welham SJ, Thomson R (2002) ASREML User Guide, Release 1.0. VSN International Ltd, Hemel Hempstead, 267 pages
16. Isik F, Li B (2003) Rapid assessment of wood density of live trees using the resistograph for selection in tree improvement programs. Can J For Res 33:2426-2435 (Pubitemid 38390542)
17. Isik F, Boos DD, Li B (2005) The distribution of genetic parameter estimates and confidence intervals from small disconnected diallels. Theor Appl Genet 110:1436-2243
18. Isik F, Gumpertz M, Li B, Goldfarb B, Sun X (2008) Analysis of cellulose microfibril angle (MFA) using a linear mixed model in Pinus taeda clones. Can J For Res 38:1676-1689 (Pubitemid 351947171)
19. Jacques D, Marchal M, Curnel Y (2004) Relative efficiency of alternative methods to evaluate wood stiffness in the frame of hybrid larch (Larix x eurolepis Henry) clonal selection. Ann Forest Sci 61:35-43 (Pubitemid 38549834)
20. Kelley SS, Rials TG, Snell R, Groom LH, Sluiter A (2004) Use of near infrared spectroscopy to measure the chemical and mechanical properties of solid wood. Wood Sci Technol 38:257-276
21. Kumar S, Jayawickrama JS, Lee J, Lausberg M (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 (Pubitemid 36573008)
22. Li B, McKeand S, Weir R (1999a) Tree improvement and sustainable forestry - impact of two cycles of loblolly pine breeding in the U. S. A. For Genet 6(4):229-234
23. Li B, McKeand SE, Weir RJ (1999b) Impact of forest genetics on sustainable forestry - results from two cycles of loblolly pine breeding in the U. S. J Sustain For 10(1-2):79-85 (Pubitemid 30438160)
24. Lindström H, Harris P, Sorensson CT, Evans R (2004) Stiffness and wood variation of 3-year old Pinus radiata clones. Wood Sci Technol 38:579-597 (Pubitemid 40060076)
25. Lynch M, Walsh B (1998) Genetics and analysis of quantitative traits. Sinauer Associates, Inc., Sunderland, MA, USA
26. Megraw RA (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, USA
27. Mora CR, Schimleck LR, Isik F, Mahon J Jr, Clark A III, Daniels R (2009) Relationships between acoustic variables and different measures of stiffness in standing Pinus taeda trees. Can J For Res 39(8):1421-1429
28. Mora CR, Schimleck LR (2009) Kernel regression methods for the prediction of wood properties of Pinus taeda using near infrared (NIR) spectroscopy. Wood Sci Technol, doi:10.1007/s00226-009-0299-5
29. Poke FS, Raymond CA (2006) Predicting extractives, lignin, and cellulose contents using near infrared spectroscopy on solid wood in Eucalyptus. J Wood Chem Technol 26(2):187-199
30. Raymond CA, Schimleck LR, Muneri A, Michell AJ (2001) Genetic parameters and genotype-by-environment interactions for pulp yield and pulp productivity in Eucalyptus globulus predicted using near infrared reflectance analysis. For Genet 8(3):213-224 (Pubitemid 33001789)
31. Raymond CA, Schimleck LR (2002) Development of near infrared reflectance analysis calibrations for estimating genetic parameters for cellulose content in Eucalyptus globulus. Can J For Res 32(1):170-176 (Pubitemid 34190535)
32. Schimleck L (2008) Near infrared spectroscopy: A rapid, nondestructive method for measuring wood properties and its application to tree breeding. New Zeal J Forest Sci 38:14-35
33. Schimleck LR, Kube PD, Raymond CA (2004) Genetic improvement of kraft pulp yield in Eucalyptus nitens using cellulose content determined by near infrared spectroscopy. Can J For Res 34(11):2363-2370 (Pubitemid 40335656)
34. Schimleck LR, Evans R, Illic J (2001) Estimation of Eucalyptus delegatensis wood properties by near infrared spectroscopy. Can J For Res 31(10):1671-1675
35. Shelbourne T, Evans R, Kibblewhite P, Low C (1997) Inheritance of tracheids transverse dimensions and wood density in radiata pine. Appita J 50(1):47-50, 67
36. Suykens J A K, Van Gestel T, De Brabanter J, De Moor B, Vandewalle J (2002) Least squares support vector machines. World Scientific Publishing, Singapore
37. Sykes R, Li B, Isik F, Kadla J, Chang H-m (2006) Genetic variation and genotype by environment interactions of juvenile wood chemical properties in Pinus taeda L. Ann Forest Sci 63(8):897-904 (Pubitemid 44913007)
38. Wang X, Ross RJ, Erickson JR, Ligon JB (2000) Nondestructive evaluation of trees. Exp Tech 24(6):27-29 (Pubitemid 32136751)
39. Wear DN, Greis JG (2002) Southern forest resource assessment, General Technical Report SRS 53. Asheville, NC. Southern Research Station
40. Wu H, Powell MB, Yang JL, Ivkovic M, McRae TA (2007) Efficiency of early selection for rotation-aged wood quality traits in radiata pine. Ann Forest Sci 64(1):1-9 (Pubitemid 46280181)
41. Zobel BJ, van Buijtenen JP (1989) Wood variation its causes and control. Springer series in wood science. Springer, New York, 363 pages