Geographic Variation in Survival Rate and Height Growth of Pinus densiflora S. et Z. in Korea

  • Kim, In-Sik (Department of Forest Genetic Resources, Korea Forest Research Institute) ;
  • Ryu, Keun-Ok (Department of Forest Genetic Resources, Korea Forest Research Institute) ;
  • Song, Jeong-Ho (Department of Forest Genetic Resources, Korea Forest Research Institute) ;
  • Kim, Tae-Su (Department of Forest Genetic Resources, Korea Forest Research Institute)
  • Received : 2004.08.25
  • Accepted : 2004.11.04
  • Published : 2005.04.30

Abstract

This study was conducted to examine the geographic variation among provenances of Pinus densiflora in survival rate and height growth at four test plantations (Jungsun, Chungju, Naju, and Jeju). The plantations were parts of the eleven provenance trials of Pinus densiflora established by Korea Forest Research Institute in 1996. The survival rate and height growth were significantly different among test plantations at $p{\leq}0.01$. Latitude and longitude of test plantation were negatively correlated with survival rate and height growth. On the other hand, annual mean temperature, mean temperature (Nov.~Feb.), extremely low temperature (Dec.~Feb.), and annual mean growing days of test plantation were positively correlated with these two. The relationships between growth variables and geographic variables were analysed with canonical correlation analysis. A considerable amount of variation in survival rate and height growth was explained by latitude, annual mean growing days, extremely low temperature (Dec.~Feb.) and extremely high temperature (Nov.~Feb.) of provenances. It is estimated that up to 47.1% and 67.4% of the genetic variability in survival rate and height growth was attributable to the environmental variability of the provenances, respectively. The response surface curve of survival rate and height growth was plotted against latitude and longitude to examine growth performance of provenances for each test site. Generally, the local provenances showed better survival rate and height growth.

Keywords

References

  1. Alia, R., L. Gil and J.A. Pardos. 1995. Performance of 43 Pinus pinaster Ail. provenances on 5 locations in central spain. Silvae Genetica 44: 75-81
  2. Andrew, I.A. and H.L. Wright. 1976. Evaluation. In A manual on species and provenance research with particular reference to the tropics (J. Burley and P.J. Wood eds). Tropical Forestry Papers No. 10. Oxford Forestry Institute. p. 103-143
  3. Bresnan, D.F., G. Rink, K.E. Diebel and W.A. Geyer. 1994. Black walnut provenance performance in seven 22-year-old plantations. Silvae Genetica 43: 246-252
  4. Ching, K.K. and P.N. Hinz. 1978. Provenance study of Douglas-fir in the pacific northwest region. III. Field performance at age twenty years. Silvae Genetica 27: 229-233
  5. Choi, W.Y., W.S. Tak, K.B. Yim and S.S. Jang. 1999. Delineation of provenance regions of forests based on climate factors in Korea. J. Kor. For. Soc. 88: 379-388
  6. Csaba, M. 1995. Modeling effects of climate change with provenance test data by Applying ecological distances. pp. 145. In: Proceedings of IUFRO XX Wolrd Congress 'Caring for the forest : Research in a changing world'. 1995. August 6-12. Tampere, Finland
  7. Hamarm, A., M.P. Koshy, G. Namkoong, and C.C. Ying. 2000. Genotypex environment interactions in Alnus rubra: developing seed zones and seed-transfer guidelines with spatial statistics and GIS. Forest Ecology and Management 136: 107-119 https://doi.org/10.1016/S0378-1127(99)00284-4
  8. Hyun, J.O. and S.U. Han. 1994. A strategy for maximizing genetic variability in selection breeding program of Pinus densiflora S. et Z. In Conservation and Manipulation of Genetic Resources in Forestry (Z.S. Kim and H.H. Hattemer eds.) Kwang Moon Kag. p. 101-115
  9. Isik, F., S. Keskin and S.E. McKeand. 2000. Provenance variation and provenance-site interaction in Pinus brutia Ten. : consequences of defining breeding zone. Silvae Genetica 49: 213-223
  10. Jeffers, R.M. and R.A. Jensen. 1980. Twenty-year results of the Lake States jack pine seed source study. USDA For. Servo Res. Pap. NC-181. pp20
  11. Johnson, R.A. and D.W. Wichern. 1998. Applied Multivariate Statistical Analysis(4th ed.). Prentice-Hall Inc. and Simon and Schuster/A Viacom Company, Upper Saddle River, NJ, USA. p. 587-627
  12. Kim, J.H., I.S. Jung, W.H. Lee and S.C. Hong. 2002. Studies on the fundamental properties of the wood of Gumgangsong (Pinus densiflora for. erecta Uyeki) (part2). Jour Korean For. Soc. 91: 241-246
  13. Kim, Y.Y., J.O. Hyun, K.N. Hong., T.B. Choi and K. S. Kim. 1995. Genetic variations of natural populations of Pinus densilfora in Korea based on RAPD marker analysis. Kor. J. Breed. 27: 23-48
  14. Korea Forest Research Institute. 1999. Pine, Pine Forest. pp. 205
  15. Lee, S.W, Y.Y. Kim, J.O. Hyun and Z.S. Kim. 1997. Comparison of genetic variation in Pinus densiflora natural populations by allozyme and RAPD analysis. Korean J. Breed. 29: 72-83
  16. Noh, E.R. 1988. Evaluation of optimum growth and site conditions for major tree species of Korea using climatic factors. Res. Rep. Inst. For. Gen. Korea 24: 138-191
  17. Park, I.H. and S.M. Lee. 1990. Biomass and net production of Pinus densiflora natural forests of four local forms in Korea. Jour. Korean For. Soc. 79: 196-204
  18. Persson, B. and Stahl, E.G. 1993. Effects of provenance transfer in an experiment series of Scots pine (Pinus sylvestris L.) in northern Sweden. Swed. Univ. Agric. Sci. Dep. For. Yield Res. Rep. 35
  19. Persson, B. and E. Beuker. 1997. Distinguishing between the effects of changes in temperature and light climate using provenance trials with Pinus sylvestris in Sweden. Can. J. For. Res. 27: 572-579 https://doi.org/10.1139/cjfr-27-4-572
  20. Rrebild, A., C.P. Hansen and E.D. Kjaer. 2002. Statistical analysis of data from provenance trials. Guidelines & Technical Notes No. 63. Danida Forest Seed Centre, Humlebaek, Denmark. pp. 22
  21. Raymond, C.A. and G. Namkoong. 1990. Optimizing breeding zones: genetic flexibility or maximum value? Silvae Genetica 39; 110-112
  22. Rehfeldt, G.E. 1991. A model of genetic variation for Pinus ponderosa in the Inland Northwest (U.S.A) : Applications in gene resource management. Can. J. For. Res. 21: 1491-1500 https://doi.org/10.1139/x91-209
  23. Rehfeldt, G.E. 1995. Genetic variation, climatic models, climatic models and the ecological genetics fro Larix occidentalis. For. Ecol. Manage. 78: 21-37 https://doi.org/10.1016/0378-1127(95)03602-4
  24. Rehfeldt, G.E., N.M. Tchebalcova and L.X. Barnhardt. 1999. Efficacy of climate transfer functions : introduction of Eurasian populations of Larix into Alberta. Can. J. For. Res. 29: 1660-1668 https://doi.org/10.1139/cjfr-29-11-1660
  25. Sagta, H.C. and S. Nautiyal. 2001. Growth performance and genetic divergence of various provenances of Dalbergia sisson Roxb. at nursery stage. Silvae Genetica 50: 93-99
  26. SAS Institute, Inc. 1990. SAS/STAT User's Guide. Ver. 6, 4th edition
  27. Savva, Y.V., F. H. Schweingruber, N.A. Kuzmina and E. A. Vaganov. 2002. Sensitivity of diameter growth to annual weather conditions in Scots pine provenances at a central siberian location. Silvae Genetica 51: 49-55
  28. Schmidtling, R.C. 2001. Southern pine seed sources. Gen. Tech. Rep. SRS-XX. Asheville, NC: USDA, Forest Service, Southern Research Station. pp. 25
  29. SYSTAT software, Inc. 2002. TableCurve 3D ver. 4.0
  30. Uyeki, H. 1928. On the physiognomy of Pinus densi-flora growing in Korea and sylvicultural treatment for its improvement. Bull. of the Agr. and For. Coll. Suwon. Korea. 3: pp. 263
  31. Wells, O.O. and P.C. Wakeley. 1966. Geographic variation in survival, growth, and fusiform rust infection of planted loblolly pine. For. Sci. Monogr. 11. 40 p
  32. Westfall, R.D. 1992. Developing Seed Transfer Zones. In Handbook of Quantitative Forest Genetics. L. Fins, S.T. Friedman, and J.V. Brotschol(eds). Kluwer Academic Pub. pp. 403
  33. Wright, J.W. 1976. Introduction to Forest Genetics. Academic Press, Inc. pp. 463
  34. Xu, P., C.C. Ying and Y.A. El-Kassaby. 2000. Multi-variate analyses of causal correlation between growth and climate in Sitka spruce. Silvae Genetica 49: 257-263
  35. Yim, K.B. and Z.S. Kim. 1975. The variation of natural population of Pinus densiflora S. et Z. in Korea(I)-Characteristics of needle and wood of Chuwang-san, An-Myeon-do and Odae-san populations. J. Kor. For. Soc. 28: 1-20
  36. Yim, K.B. and K.J. Lee. 1979. The variation of natural population of Pinus densiflora S. et Z. in Korea(IX)-needle and wood characteristics of six populations. J. Kor. For. Soc. 44: 1-25
  37. Yim, K.B. 1985. The Principles of Silviculture. Hyang moon sa. pp. 491