Table of Contents
Journal of Artificial Evolution and Applications
Volume 2009, Article ID 783647, 5 pages
Research Article

Kuri: A Simulator of Ecological Genetics for Tree Populations

1Department of Genetics, Polytechnic Center, Federal University of Parana, Jardim das Americas, 81531-990 Curitiba, PR, Brazil
2The Institute for Genetics and Bioinformatics (TIGB), University of New England, Armidale, NSW 2351, Australia

Received 6 October 2008; Accepted 19 May 2009

Academic Editor: Marylyn Ritchie

Copyright © 2009 Benn R. Alle et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. N. Alstad, “Populus: simulations of population biology,” 2007,
  2. P. A. S. Nuin and P. A. Otto, “A program for representing and simulating population genetic phenomena,” Genetics and Molecular Biology, vol. 23, no. 1, pp. 53–60, 2000. View at Google Scholar
  3. C. Gondro and J. C. M. Magalhães, “A simple genetic algorithm for studies of Mendelian populations,” in Recent Advances in Artificial Life, H. Abbass, T. Bossamaier, and J. Wiles, Eds., pp. 85–98, World Scientific, London, UK, 2005. View at Google Scholar
  4. B. P. Kinghorn, “GENUP—a suite of programs to help teach animal breeding theory,” in Proceedings of the 10th Australian Association of Animal Breeding and Genetics, pp. 555–559, 1992.
  5. M. Kanashiro, I. S. Thompson, J. A. G. Yared et al., “Improving conservation values of managed forests: the Dendrogene project in the Brazilian Amazon,” Unasylva, vol. 53, no. 209, pp. 25–33, 2002. View at Google Scholar
  6. B. Degen, H.-R. Gregorius, and F. Scholz, “ECO-GENE, a model for simulation studies on the spatial and temporal dynamics of genetic structures of tree populations,” Silvae Genetica, vol. 45, no. 5-6, pp. 323–329, 1996. View at Google Scholar
  7. P. T. Hraber, T. Jones, and S. Forrest, “The ecology of Echo,” Artificial Life, vol. 3, no. 3, pp. 165–190, 1997. View at Google Scholar
  8. C. Gondro and B. P. Kinghorn, “Solving complex problems with evolutionary computation,” in Proceedings of the 17th Australian Association for the Advancement of Animal Breeding and Genetics, pp. 272–279, 2007.
  9. A. S. Jump and J. Penuelas, “Genetic effects of chronic habitat fragmentation in a wind-pollinated tree,” Proceedings of the National Academy of Sciences of the United States of America, vol. 103, no. 21, pp. 8096–8100, 2006. View at Publisher · View at Google Scholar · View at PubMed
  10. S. Wright, Evolution and the Genetic of Populations, Vol. II: The Theory of Gene Frequencies, The University of Chicago Press, Chicago, Ill, USA, 1969.