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Journal of the Indian Academy of Wood Science

, Volume 16, Issue 2, pp 87–93 | Cite as

Phenotypic assessment of wood density and stiffness in Melia dubia plantations from three locations using non-destructive tools

  • Shakti Singh ChauhanEmail author
  • D. Annapurna
  • A. N. Arun Kumar
  • Geeta Joshi
Original Article
  • 10 Downloads

Abstract

Phenotyping large populations for assessing the variability for wood traits is the basic and critical step for developing improved genotypes/clones in the conventional or molecular marker-based tree improvement programmes of timber-yielding species. Melia dubia is rapidly emerging as a potential timber species with large-scale plantations being raised in different parts of India. In this study, large number of M. dubia trees (n = 940) were phenotyped for girth at breast height, wood basic density and stiffness from six plantations at three different locations, i.e. Yeshwanthpura (Kolar district), Hunsur and adjoining areas (Mysore district) and Kollegal (Mandya district) of Karnataka. Non-destructive tools namely pilodyn penetrometer and stress wave timers were used for phenotyping of wood density and wood stiffness, respectively. Across the locations, pilodyn penetration ranged from 12 to 30 mm and stress wave velocity ranged from 3.45 to 4.54 km/s. Plantations in the Hunsur area were characterized with relatively high pilodyn penetration (means low basic density), whereas stress wave velocity was uniformly distributed in all three locations. 11.68% of total number of trees (3.11% with GBH ≥ 37.5 cm from Yeshwanthpura and 8.57% trees from Kollegal) exhibiting pilodyn penetration range from 12 to 17 mm can be considered for selection for high density and 19.3% of trees (3.9% of trees from Yeshwanthpura, 4.4% trees from Hunsur and 11.02% trees from Kollegal) having stress wave velocity ranging from 4.05 to 4.46 km/s can be considered for high stiffness in the future tree improvement programmes. More than twofolds variation in pilodyn penetration and sufficiently large variation in stress wave velocity provide the opportunity for the development of trait-specific markers.

Keywords

Melia dubia Phenotyping Tree improvement Basic density Pilodyn Stress wave velocity Stiffness 

Notes

Acknowledgements

The authors are thankful to the Karnataka Forest Department for funding the research project and extending their help during the course of the study. Financial support provided by University Grants Commission, New Delhi, to Annapurna D is also acknowledged. The authors are grateful to the Director and Group Coordinator (Research) of the Institute of Wood Science and Technology, Bengaluru, for encouragement and supporting the study. Authors are also thankful to Mr. Moiz S.Vagh, Hunsur Plywood Limited, for his encouragement and discussions; farmers for allowing us to visit the plantations of M. dubia; and Mr. Ajay TL and Mr. Naveen for extending their help during the study.

References

  1. Albert DJ, Clark TA, Dickson RL, Walker J (2002) Using acoustic to sort radiata pine pulp logs according to fibre characteristics and paper properties. Int For Rev 4(1):12–19Google Scholar
  2. Blackburn D, Hamilton H, Wiliams D, Harewood C, Potts B (2014) Acoustic wave velocity as a selection trait in Eucalyptus niten. Forests 5:744–762CrossRefGoogle Scholar
  3. Bradley A, Chauhan SS, Walker J, Banham P (2005) Using acoustics in log segregation to optimize energy use in thermomechanical pulping. Appita J 58(4):308–313Google Scholar
  4. Chauhan S, Aggarwal P (2011) Segregation of E. tereticornis Sm. Clones for properties relevant to solid wood products. Ann For Sci 68:511–521CrossRefGoogle Scholar
  5. Chauhan S, Arun kumar AN (2014) Assesment of variability in morphological and wood quality traits in Melia dubia Cav. for selection of superior trees. J Indian Acad Wood Sci 11(1):25–32CrossRefGoogle Scholar
  6. Chauhan S, Walker J (2006) Variation in acoustic velocity and density with age, and their interrelationships in radiate pine. For Ecol Manag 229:388–394CrossRefGoogle Scholar
  7. Evans R (2000) Measuring wood and fiber properties. In: The proceedings of WTRC workshop 2000, University of Canterbury, New Zealand, pp 115–120Google Scholar
  8. Fabris S (2000) Influence of cambial ageing, initial spacing, stem taper and growth rate on the wood quality of three coastal conifers (Doctorate Thesis). Univeristy of British ColumbiaGoogle Scholar
  9. Grabianowski M, Manley B, Walker J (2004) Impact of stocking and exposure on outerwood acoustic properties of Pinus radiate in Eyrewell Forest. N Z J For 49(2):13–17Google Scholar
  10. Greaves B, Borralho NMG, Raymond CA, Farrington A (1996) Use of Pilodyn for the indirect selection of basic density in Eucalyptus nitens. Can J For Res 26:1643–1650CrossRefGoogle Scholar
  11. Greaves B, Hamilton M, Pilbeam D (2004) Genetic variation in commercial properties of six and 15-year-old Eucalyptus globulus. In: Proceedings of IUFRO conference-Eucalyptus in changing world, Aveiro, 11–15 October 2004Google Scholar
  12. Hai PH, Jansson G, Hannrup B, Harwood C, Thinh HH (2009) Use of wood shrinkage characteristics in breeding of fast-grown Acacia auriculiformis A. Cunn. ex Benth in Vietnam. Ann For Sci 66:611CrossRefGoogle Scholar
  13. Huang LL, Lindstrom H, Nakada R, Ralston J (2003) Cell wall structure and wood properties determined by acoustics—a selective review. Holz als Roh und-Werkstoff 61:321–335CrossRefGoogle Scholar
  14. Jiang ZH, Wang XQ, Fei BH, Ren HQ, Liu XE (2007) Effect of stand and tree attributes on growth and wood quality characteristics from a spacing trail with Populus xiaohei. Ann For Sci 64:807–814CrossRefGoogle Scholar
  15. Joshi G, Chauhan SS, Arun Kumar AN, Ajay TL, Sreedevi CN, Rajan A, Annapurna D (2018) Wood stiffness as a trait for phenotyping, selective genotyping and preliminary genetic diversity estimation using SSR markers in Melia dubia. Int J Genet 10(11):541–547Google Scholar
  16. Kasai S, Yokota S, Iizuka K, Yoshizawa N (2005) Wood quality of sugi (Cryptomeria japonica) grown at four initial spacings. IAWA J 26:375–386CrossRefGoogle Scholar
  17. Lassere JP, Mason EG, Watt MS, Moore JR (2009) Influence of initial spacing and genotype on microfibril angle, wood density, fibre properties and modulus of elasticity in Pinus radiata D. Don corewood For Ecol Manag 258:1924–1931CrossRefGoogle Scholar
  18. Lenz P, Auty D, Achim A, Beaulieu J, Mackay J (2013) Genetic improvement of white spruce mechanical wood traits—early screening by means of acoustic velocity. Forests 4:575–594CrossRefGoogle Scholar
  19. Matheson A, Gapre W, Ilic J, Wu H (2008) Inheritance and genetic gain in wood stiffness in radiate pine assessed acoustically in standing trees. Silvae Genet 57:56–64CrossRefGoogle Scholar
  20. Montes CS, Weber JC (2009) Genetic variation in wood density and correlations with tree growth in Prosopis africana from Burkina Faso and Niger. Ann For Sci 66:713CrossRefGoogle Scholar
  21. Parthiban KT, Bharathi AK, Seenivasan R, Kamala K, Rao MG (2009) Integrating Melia dubia in agroforestry farms as an alternate pulpwood species. APA News 34:3–4Google Scholar
  22. Raymond C, Henson M, Pelletier M, Boyton S, Joe W, Thomas D, Smith H, Vanclay J (2008) Improving dimensional stability in plantation grown E. pilularis and E. dunnii, forest and wood products Australia report PN06.3017. 71PpGoogle Scholar
  23. Raymond C, Henson M, Shepherd M, Sexton T (2009) Quantitative and molecular genetic control of wood properties and chemistry in Eucalyptus pilularis. In: Apiolaza L, Chauhan S, walker J (eds) Proceedings on revisting eucalyptus 2009, University of Canterbury, New Zealand pp 13–28Google Scholar
  24. Rocha M, Vital B, De Carneiro A, Carvalho A, Cardoso M, Hein P (2016) Effect of plant spacing on the physical, chemical and energy properties of Eucalyptus wood and bark. J Trop For Sci 28(3):243–248Google Scholar
  25. Saravanan V, Parthiban KT, Kumar P, Marimuthu P (2013) Wood characterization studies on Melia dubia cav. for pulp and paper industry at different age gradation. Res J Recent Sci 2:183–188Google Scholar
  26. Schimleck L, Evans R, Ilic J (2001) Application of near infrared spectroscopy to a diverse range of species demonstrating wide density and stiffness variation. IAWA J 22(4):415–429CrossRefGoogle Scholar
  27. Settle DJ, Page T, Bush D, Doran J, Sethy M, Viji I (2012) Basic density, diameter and radial variation of Vanuatu Whitewood (Endospermum medullosum): potential for breeding in a low density, tropical hardwood. Int For Rev 14(4):463–475Google Scholar
  28. Sharma SK, Shukla SR, Sujatha M, Shashikala S, Kumar P (2013) Assessment of certain wood quality parameters of selected genotypes of Melia dubia Cav. Grown in a seedling seed orchard. J Indian Acad Wood Sci 9(2):165–169CrossRefGoogle Scholar
  29. Stape JL, Binkley D, Ryan MG et al (2010) The Brazil Eucalyptus potential productivity project: influence of water, nutrients and stand uniformity on wood production. For Ecol Manag 259:1684–1694CrossRefGoogle Scholar
  30. Tong Q, Fleming R, Tanguay F, Zhang S (2009) Wood and lumber properties from unthinned and pre-commercially thinned black spruce plantations. Wood Fiber Sci 41(2):168–179Google Scholar
  31. Varghese M, Harwood CE, Hegde R, Ravi N (2008) Evaluation of provenances of Eucalyptus camaldulensis and clones of E. camaldulensis and E. tereticornis at contrasting sites in southern India. Silvae Genet 57(3):170–179CrossRefGoogle Scholar
  32. Walker JCF (2006) Primary wood processing—principles and practices. Springer, New YorkGoogle Scholar
  33. Zobel B, Talbert J (1984) Applied forest tree improvement. Wiley, HobokenGoogle Scholar

Copyright information

© Indian Academy of Wood Science 2019

Authors and Affiliations

  1. 1.Institute of Wood Science and TechnologyBangaloreIndia
  2. 2.Tropical Forest Research InstituteJabalpurIndia

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