Open Access
E3S Web Conf.
Volume 52, 2018
CSSPO International Conference 2018: Towards Inclusive & Sustainable Agriculture – Harmonizing Environmental, Social and Economic Dimensions: Is it Possible?
Article Number 00027
Number of page(s) 10
Published online 27 August 2018
  1. M. Basyuni, H. Sagami, S. Baba, H. Iwasaki, H. Oku, Diversity of polyisoprenoids in ten Okinawan mangroves, Dendrobiology 75, 167-175 (2017). [CrossRef] [Google Scholar]
  2. K. Kathiresan, S. Baba, Facts about mangroves of Japan. Seshaiyana 7:3-6 (1999). [Google Scholar]
  3. M.Z. Hussain, Silviculture of Mangroves. Unasylva 181 (46):36-42 (1995). [Google Scholar]
  4. M. Basyuni, H. Sagami, S. Baba, H. Oku, Distribution, occurrence, and cluster analysis of new polyprenyl acetones and other polyisoprenoids from North Sumatran mangroves, Dendrobiology 78, 18-31 (2018). [CrossRef] [Google Scholar]
  5. L. Graudal, E. Kjaer, A. Thomsen, and A.B. Larsen, Planning national programmes for conservation of forest genetic resources. Danida Forest Seed Centre. Technical Note 48: 9-25 (1997) [Google Scholar]
  6. M. Basyuni, S. Baba, H. Oku, IOP Conference Series Materials Science and Engineering 180, 1, p. 012243 (2017). [CrossRef] [Google Scholar]
  7. T. Sugaya, T. Takeuchi, H. Yoshimaru, and M. Katsuta, Development and polymorphism of simple sequence repeat DNA markers for Kandelia candel (L.) Druce. Molecular Ecology Notes 2:65-66, (2002). [CrossRef] [Google Scholar]
  8. T. Sugaya, H. Yoshimaru, T. Takeuchi, M. Katsuta, K. Fujimoto, and S. Changtragoon, Development and polymorphism of simple sequence repeat DNA markers for Bruguiera gymnorrhiza (L.) Lamk. Molecular Ecology Note 3:88-90, (2003). [CrossRef] [Google Scholar]
  9. P.O. Lewis, and D. Zaykin, Genetic Data Analysis: Computer program for the analysis of allelic data, version 1.1. Free program distributed over the internet from GDA homepage at (2002). [Google Scholar]
  10. M. Nei, Molecular evolutionary genetics, (Columbia University Press, New York. 512pp, 1987). [Google Scholar]
  11. J. Goudet, FSTAT, a program to estimate and test gene diversities and fixation indices (version 2.9.3). (2001) [Google Scholar]
  12. M. Kimura, and J. Crow, The number of alleles that can be maintained in a finite population. Genetics 49:725-738, (1964) [PubMed] [Google Scholar]
  13. S. Schneider, D. Roessli, and L. Excoffier, ARLEQUIN version 2.000: A software for populations genetics data analysis, (Genetics and Biometry Laboratory, University of Geneva, Switzerland, 2000) [Google Scholar]
  14. M. Raymond, and F. Rousset, GENEPOP (Version 3.1b): Population genetics software for exact tests and ecumenicism. Journal of Heredity 86:248-249 (1995) [Google Scholar]
  15. S. Wright, The interpretation of population structure by F-statistics with special regard to system of mating, Evolution 19:395-420 (1965). [CrossRef] [Google Scholar]
  16. T. Takeuchi, T. Sugaya, A. Kanazashi, H. Yoshimaru, and M. Katsuta, Genetic diversity of Kandelia candel and Bruguiera gymnorrhiza in the Southwest Islands, Japan. J.For.Res. 6: 157-162, (2001). [CrossRef] [Google Scholar]
  17. M. Sun, K. C. Wong, and J. S. Y. Lee, Reproductive biology and population genetic structure of Kandelia candel (Rhizophoraceae), a viviparous mangrove species. American Journal of Botany 85(11):161-1637 (1998). [Google Scholar]
  18. S. Huang, Y. Chen., and H. Fan. Genetic variation on mangrove forest, Kandelia candel (L.) Druce (Rhizophoraceae) in Southern China. The Symposium on the Phylogeny, Biogeography and Conservation of Fauna and Flora of East Asian Region, 177-188, (1997). [Google Scholar]
  19. J.L. Hamrick, M.J.W. Godt, and S.L. Sherman-Broyles, Factors influencing levels of genetic diversity in woody plant species. New Forest 6:95-124, (1992). [CrossRef] [Google Scholar]
  20. P.D. Abeysinghe, L. Triest, B. De Greef, N. Koedam, and S. Hettiarachi, Genetic and geographic variation of the mangrove tree Bruguiera in Sri Langka. Aquatic Botany 67:131-141, (2000). [CrossRef] [Google Scholar]
  21. S. Jian, T. Tang, Y. Zhong, and S. Shi, Variation in inter-simple sequence repeat (ISSR) in mangrove and non-mangrove populations of Heritiera littoralis (Sterculiaceae) from China and Australia. Aquatic Botany 79: 75-86 (2004). [CrossRef] [Google Scholar]
  22. H.S. Li, and G. Z. Chen. Genetic diversity of Sonneratia alba in China detected by inter simple sequence repeats (ISSR) analysis. Acta Botanica Sinica 46(5):515-521. (2004) [Google Scholar]
  23. T.L. Maguire, P. Saenger, P. Baverstock, and R. Henry. Microsatellite analysis of genetic structure in the mangrove species Avicennia marina (Forsk.) Vierh. (Avicenniaceae). Molecular Ecology 9:1853-1862 (2000). [CrossRef] [PubMed] [Google Scholar]
  24. K.S. Bawa, Breeding systems of tree species of a lowland tropical community. Evolution 28:85-92 (1974). [CrossRef] [PubMed] [Google Scholar]
  25. M. Slatkin, Gene flow and the geographic structure of natural populations. Science 236:787-792 (1987). [CrossRef] [Google Scholar]
  26. D.R. Govindaraju, A note on the relationship between outcrossing rate and gene flow in plants. Heredity 61:401-404 (1988). [CrossRef] [Google Scholar]
  27. J. Nunez-Farfan, C.A. Dominguez, L.E. Eguiarte, A. Cornejo, M. Quijano, J. Vargas, and R. Dirzo, Genetic divergence among Mexican populations of red mangrove (Rhizophora mangle): geographic and historic effects. Evolutionary Ecology Research 4:1049-1064, (2002). [Google Scholar]
  28. K.S. Bawa, D. R. Perry, and J. H. Beach. Reproductive biology of tropical lowland rain forest trees. I. Sexual systems and incompatibility mechanism. American Journal of Botany 72:331-345 (1985). [CrossRef] [Google Scholar]
  29. M. Basyuni, R. Wati, Bioinformatics analysis of the oxidosqualene cyclase gene and the amino acid sequence in mangrove plants, Journal of Physics : Conferece Series 801 012011 (2017). [CrossRef] [Google Scholar]
  30. M. Basyuni, Sumardi, Bioinformatics approach of salt tolerance gene in mangrove plant Rhizophora stylosa, Journal of Physics : Conference Series 801 012012 (2017). [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.