Skip to main content
Log in

Genetic variation in height growth curves observed in three clonal tests of sugi (Cryptomeria japonica D. Don) in Kyushu

  • Short Communication
  • Published:
Journal of Forest Research

Abstract

Genetic variation in the height growth curves was investigated by analyzing data from three clonal trials of sugi (Crytomeria japonica D. Don) in Kyushu. Average height of twelve clones measured at each of five years until 30 years of age were fitted to the Chapman-Richards function with two parameters model. Clonal variation in the two parameters (an upper asymptote and a rate of growth parameter) was statistically significant across the tests, indicating that height growth pattern is under genetic control. The type of growth curve was clearly classified with the two parameters and agreed with the empirical classifications of the growth habit of local varieties. The rate of growth parameter was correlated with total height up to 20 years of age, while the upper asymptote was correlated only with the last ten years’ increment from 21 to 30 years where the clonal repeatability was decreasing. This indicates that a clonal selection for long rotation management system would not be reliable unless the height is measured accurately with more advanced devices or it is adjusted by the current increment of diameter.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Literature cited

  • Balocchi, C.E., Bridgwater, F.E., Zobel, B.J., and Jahromi, S. (1993) Age trends in genetic parameters for tree height in a nonselected population of Loblolly pine. For. Sci. 39: 231–251.

    Google Scholar 

  • Danjon, F. (1994) Heritabilities and genetic correlations for estimated growth curve parameters in maritime pine. Theor. Appl. Genet. 89: 911–921.

    Article  Google Scholar 

  • Danjon, F. and Herve, J.C. (1994) Choice of a model for height-growth curves in maritime pine. Ann. Sci. For. 51: 589–598.

    Article  Google Scholar 

  • Falconer, D.S. (1981) Introduction to quantitative genetics. Second edition. 340pp, John Wiley & Sons, Inc., New York.

    Google Scholar 

  • Forest Agency and Forestry and Forest Products Research Institute (1955) Forest yield table for Sugi in Kumamoto. 59pp, Rinya-Kousaikai, Tokyo.

    Google Scholar 

  • Miyajima, H. (1989) Sugi and hinoki in Kyushu. 275 pp. Kyushu University Press, Fukuoka.

    Google Scholar 

  • Naito, K. and Shiraishi, N. (1988) Type classification of the Richards function and it’s application for the forest stand growth curve (I) A study on the increasing types of the Richards function. J. Jpn. For. Soc. 65: 248–252.

    Google Scholar 

  • Ohba, K. (1993) Clonal forestry with Sugi (Cryptomeria japonica).In Clonal forestry II, Conservation and application. Ahuja, M.R. and Libby, W.J. (eds.), 240pp, Springer-Verlag, Berlin, Heidelberg.

    Google Scholar 

  • Pienaar, L.V. and Turnbull, K.J. (1973) The Chapman-Richards generalization of von Bertalanffy’s growth model for basal area growth and yield in even-aged stands. For. Sci. 19: 2–22.

    Google Scholar 

  • Richards, F.J. (1959) A flexible growth function for empirical use. J. Exp. Bot. 10(29): 290–300.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

About this article

Cite this article

Kurinobu, S., Toda, T. Genetic variation in height growth curves observed in three clonal tests of sugi (Cryptomeria japonica D. Don) in Kyushu. J For Res 5, 95–98 (2000). https://doi.org/10.1007/BF02762526

Download citation

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02762526

Key words

Navigation