Journal of Forest and Environmental Science

Institute of Forest Science, kangwon National University (강원대학교 산림과학연구소)
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Genetic Variation of Flower Production in Breeding Seedling Seed Orchards of Quercus acuta and Q. glauca

  • Jeon, Koeun (Department of Forest Sciences, Seoul National University) ;
  • Ro, Hee Seung (Department of Forest Sciences, Seoul National University) ;
  • Kim, Ye-Ji (Department of Agriculture, Forestry and Bioresources, Seoul National University) ;
  • Gu, Da-Eun (Department of Agriculture, Forestry and Bioresources, Seoul National University) ;
  • Park, Ji-Min (Department of Agriculture, Forestry and Bioresources, Seoul National University) ;
  • Ryu, Sungryul (Department of Seed and Seedling Management, National Forest Seed Variety Center) ;
  • Kang, Kyu-Suk (Department of Agriculture, Forestry and Bioresources, Seoul National University)
  • Received : 2021.11.05
  • Accepted : 2022.03.15
  • Published : 2022.06.30
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Abstract

This study was conducted to test the significant difference of fertility variation among families and to select superior families for acorn production in the breeding seedling seed orchards (BSSOs) of Quercus acuta and Quercus glauca. The seed orchards were located in Jeju island and established by seedlings raised from selected parents for genetic testing in 2006. In the spring of 2021, the numbers of female and male flower were counted from 5 to 10 individuals per family in the BSSOs. To test statistical significance of which parameter is not satisfied through the normality test, we used a nonparametric analysis. Correlation analysis was performed to quantify the association between female and male flower production. As the results, the significant difference of flower production among families was found in both seed orchards. The averages of female flower production were 65.3 and 181.9 in Q. acuta and Q. glauca. The positive Spearman's rank correlation was existed between male and female flower production. Broad-sense heritability on female and male flower production were 0.191 and 0.147 in Q. acuta, and 0.285 and 0.068 in Q. glauca, respectively. Sexual asymmetry (e.g., maleness index) between female and male, and contribution variation among families (e.g., parental balance) were analyzed to find reasonable alternatives in the management of seed orchards. Effective population size of seed crops was predicted as a concept of status number. Loss of gene diversity (accumulation of group coancestry) would not be alarming in the BSSOs. Our results would be helpful to select breeding materials for establishing new seed orchards and to supply genetically improved seeds of evergreen oaks, which is one of the backbones of the strategy of carbon sink in the 2050 Carbon Neutrality of Korea Forest Service.

Keywords

Acknowledgement

This study was carried out with the support of 'R&D Program for Forest Science Technology (Project No. 2022458B10-2224-0201)' provided by Korea Forest Service (Korea Forestry Promotion Institute).

References

  1. Chang CS, Kim H, Chang KS. 2011. Illustrated Encyclioedia of Fauna & Flora of Korea Vol.43 Woody Plants. Designpost, Paju, pp 96-103.
  2. Cockerham CC. 1967. Group inbreeding and coancestry. Genetics 56: 89-104. https://doi.org/10.1093/genetics/56.1.89
  3. David A, Pike C, Stine R. 2003. Comparison of selection methods for optimizing genetic gain and gene diversity in a red pine (Pinus resinosa Ait.) seedling seed orchard. Theor Appl Genet 107: 843-849. https://doi.org/10.1007/s00122-003-1330-0
  4. Han SU, Choi SK, Kwon HM, Lee SB. 1985. Broad Sense Heritabilities of Growth Characters and Genetic Gain in Clonal Selection of Plus Tree of Pinus koraiensis S. et Z. J Korean For Soc 69: 1-5.
  5. Han SU, Choi WY, Chang KH, Kim TS, Song JH. 2001. Clonal Variation of Flowering in Pinus thunbergii Seed Orchard. J Korean For Soc 90: 717-724.
  6. Kang KS, Bila AD, Lindgren D, Choi WY. 2001. Predicted drop in gene diversity over generations in the population where the fertility varies among individuals. Silvae Genet 50: 200-205.
  7. Kang KS, El-Kassaby YA, Han SU, Kim CS. 2005. Genetic gain and diversity under different thinning scenarios in a breeding seed orchard of Quercus accutissima. For Ecol Manage 212: 405-410. https://doi.org/10.1016/j.foreco.2005.03.063
  8. Kang KS, Lindgren D. 1998. Fertility Variation and its Effect on the Relatedness of Seeds in Pinus densiflora, Pinus thunbergii and Pinus koraiensis Clonal Seed Orchards. Silvae Genet 47: 196-201.
  9. Kim IS, Kim JH, Kang JT, Lee BS. 2008. Clonal Variation in Female Flowering of Larix leptolepis. Korean J Plant Resour 21: 1-4.
  10. Kim IS, Lee KM, Shim D, Kim JJ, Kang HI. 2020. Plus Tree Selection of Quercus salicina Blume and Q. glauca Thunb. and Its Implications in Evergreen Oaks Breeding in Korea. Forests 11: 735. https://doi.org/10.3390/f11070735
  11. KNA (Korea National Arboretum). 2016a. Nature 'Quercus acuta Thunb'. http://www.nature.go.kr/kbi/plant/pilbk/selectPlantPilbkDtl.do?plantPilbkNo=30273. Accessed 23 Aug 2021.
  12. KNA (Korea National Arboretum). 2016b. Nature 'Quercus glauca Thunb'. http://www.nature.go.kr/kbi/plant/pilbk/selectPlantPilbkDtl.do?plantPilbkNo=31196. Accessed 3 Sep 2021.
  13. Korea Forest Service. 2021. Strategy of Forest Sector to Achieve 2050 Carbon Neutrality, Daejeon.
  14. Lee JH, Choi BH. 2010. Distribution and Northernmost Limit on the Korean Peninsula of Three Evergreen Trees. Korean J Plant Taxon 40: 267-273. https://doi.org/10.11110/kjpt.2010.40.4.267
  15. Lindgren D, Mullin TJ. 1997. Balancing Gain and Relatedness in Selection. Silvae Genet 46: 124-129.
  16. Lindgren D, Mullin TJ. 1998. Relatedness and status number in seed orchard crops. Can J For Res 28: 276-283. https://doi.org/10.1139/x97-217
  17. Lloyd DG. 1979. Parental strategies of angiosperms. N Z J Bot 17: 595-606. https://doi.org/10.1080/0028825X.1979.10432573
  18. Na SJ, Lee HS, Kim IS, Kang KS, Han SU. 2014. Estimation of Genetic Gain and Diversity under Genetic Thinning Models in a Breeding Seed Orchard of Quercus acutissima. J Agric Life Sci 48: 51-58.
  19. Nei M. 1973. Analysis of gene diversity in subdivided populations. Proc Natl Acad Sci U S A 70: 3321-3323. https://doi.org/10.1073/pnas.70.12.3321
  20. R Core Team. 2019. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna.
  21. Seoul National University Forests. 2012. Illustrated flora of Seoul National University Forests Vol 1: The trees on Mt. Jiri and Mt. Baekun. Seoul National University Press, Seoul, pp 86.
  22. Steel RGD, Torrie JH. 1980. Principles and Procedures of Statistics: A Biometrical Approach. 2nd ed. McGraw-Hill, New York, NY, 633 pp.
  23. Wray N, Visscher P. 2008. Estimating trait heritability. Nat Educ 1: 29.