Selecting Dry Fiber Weight For Higher and Better Quality Jack Pine Fiber Production


  • Shu Yin Zhang
  • Yin Hei Chui


Jack pine, dry fiber weight, wood density, growth traits, variation, inheritance, correlation


Sixteen-year-old half-sib jack pine (Pinus bankslana Lamb.) families planted in New Brunswick were evaluated for wood density, growth traits (DBH, tree height, and bole volume), and dry fiber weight (wood density x bole volume). The variation and inceritance of these traits and their relationships were studied. The implications of these genetic parameters for optimum gains in wood quality and wood quantity (bole volume) were discussed. The results indicate that wood density and tree height exhibit considerably less phenotypic variation but a remarkably higher heritability compared to DBH and bole volume. Dry fiber weight shows the largest phenotypic variation but a moderate heritability. There exists a positive genetic correlation between wood density and all growth traits. This suggests that selection for growth traits would not necessarily lead to a reduction in wood density in this species. Compared to traditional selection for bole volume, however, selection for dry fiber weight would result in higher genetic gains not only in dry fiber weight (+12.9% vs. 9.9%), but also in wood density (1.8% vs. 0.8%) and bole volume (9.8% vs. 8.2%). Therefore, this selection strategy would achieve both higher and better quality fiber production compared to traditional selection for volume alone.


Armstrong, J. P., C. Skaar, and C. Dezeeuw. 1984. The effect of specific gravity on some mechanical properties of some world woods. Wood Sci. Technol., 18:137-146.nBarefoot, A. C., R. G. Hitchings, E. L. Eliwood, and E. H. Wilson. 1970. The relationship between loblolly pine fibre morphology and kraft paper properties. North Carolina Agric. Exp. Sta. Tech. Bull. No. 202, North Carolina State Univ., Raleigh, NC.nBecker, W. A. 1984. Manual of quantitative genetics. 4th ed., Academic Enterprises, Washington, DC.nBendtsen, B. A. 1978. Properties of wood from improved and intensively managed trees. Forest Prod. J. 28:61-72.nFalconer, D. S. 1981. Introduction to quantitative genetics. Ronald Press, New York, NY.nGonzalez, J. S. 1990. Wood density of Canadian tree species. Information Rep. NOR-X-315, Northern Forestry Centre, Edmonton, AB.nHoner, T. G., M. F. Ker, and I. S. Alemdag. 1983. Metric timber tables for the commercial tree species of central and eastern Canada. Information Rep. M-X-140. Canadian Forest Service- Maritimes Region, Fred-ericton, NB.nKeith, C. T., and R. M. Kellogg. 1986. Wood quality considerations in tree improvement programs. Proc. Workshop held in Quebec City, August 19, 1985. Special publication SP-513E, Forintek Canada Corp., Ottawa, ON.nKellogg, R. M. 1989. Second growth Douglas-fir: Its management and conversion for value. Special Pub. No. SP-32, Forintek Canada Corp., Vancouver, BC.nLoo-Dinkins, J. A., and J. S. Gonzalez. 1991. Genetic control of wood density profile in young Douglas-fir. Can. J. For. Res. 21:935-939.nMagnussen, S., and C. T. Keith. 1990. Genetic improvement of volume and wood properties of jack pine:selection strategies. Forest Chron. 66:281-286.nMegraw, R. A. 1985. Wood quality factors in loblolly pine. TAPPI Press, Atlanta, GA.nMorgenstern, E. K., and M. Villeneuve. 1986. The role of wood quality in New Brunswick's genetic improvement programs. XVII IUFRO World Congress, Ljubljana, Yugoslavia.nPanshin, A. J., and C. Dezeeuw, C. 1980. Textbook of wood technology. 4th ed., McGraw-Hill Book Co., New York, NY.nPark, Y. S., J. D. Simpson, D. P. Fowler, and E. K. Morgenstern. 1989. A selection index with desired gains to rogue jack pine seedling seed orchards. Information Rep. M-X-176. Canadian Forest Service- Maritimes Region, Fredericton, NB.nSAS Institute Inc. 1985. SAS User's guide:Statistics. 5th ed., SAS Institute Inc., Cary, NC.nVan Buijtenen, J. P. 1986. Computer simulation of the effect of wood specific gravity and rotation age on the production of linerboard and multiwall sack paper. Res. and Develop. Conf. Technol., TAPPI, Atlanta, GA.nVargas-Hernandez, J., and W. T. Adams. 1991. Genetic variation of wood density components in young coastal Douglas-fir:implications for tree breeding. Can. J. For. Res. 21:1801-1807.nYanchuk, A. D., and G. K. Kiss. 1993. Genetic variation in growth and wood specific gravity and its utility in the improvement of interior spruce in British Columbia. Silvae Genet. 42(2-3):141-147.nZhang, S. Y. 1994. Mechanical properties in relation to specific gravity in 342 Chinese woods. Wood Fiber Sci. 26(4):512-526.nZhang, S. Y. 1995. Effect of growth rate on wood specific gravity and selected mechanical properties in individual species from distinct wood categories. Wood Sci. Technol. 29(6):451-465.nZhang, S. Y. 1996. Variability of selected wood characteristics in 40 half-sib families of black spruce (Picea mariana). Submitted to Wood Sci. Technol.nZhang, S. Y., and E. K. Morgenstern. 1996. Genetic variation and inheritance of wood density in black spruce (Picea mariana) and its relationship with growth:implications for tree breeding. Wood Sci. Technol. 30(1):63-75.nZhang, S. Y., S. Fujiwara, and P. Baas, 1992. Hardwood density in relation to fibre morphology and tissue proportions. Proc. IUFRO All-Division 5 Conference, August 23-28, 1992, Nancy, France.nZhang, S. Y., G. Nepveu, and R. Eyono Owoundi. 1994. Intratree and intertree variation in selected wood quality characteristics of European oak (Quercus petraea and Quercus robur). Can. J. For. Res. 24:1818-1823.nZhang, S. Y., D. Simpson, and E. K. Morgenstern. 1996. Variation in the relationship of wood density with growth in 40 black spruce (Picea mariana) families grown in New Brunswick. Wood Fiber Sci. 28(1):91-99.nZobel, B. J. and J. T. Talbert. 1984. Applied forest tree improvement. John Wiley & Sons, New York, NY.nZobel, B. J. and J. P. Vanbuutenen. 1989. Wood variation: its causes and control. Springer-Verlag, Berlin, Germany.n






Research Contributions