Chromosome Research

, Volume 1, Issue 3, pp 189–196 | Cite as

Computer-aide automatic identification of rice chromosomes by image parameters

  • Yasuko Kamisugi
  • Noritaka Furuya
  • Kanako Iijima
  • Kiichi Fukui


An automatic, computer-aided method for identification of rice chromosomes was developed based on image parameters obtained by image analysis. Numerical data of the 360 condensation patterns (CPs) or the density profiles of rice chromosomes obtained from 30 chromosomal spreads of haploid rice were subjected to three different discrimination methods for identifying the chromosome: (1) discrimination flow chart, (2) linear discrimination functions, and (3) minimum distance classifer based on standardized Euclidean distance. Discrimination based on the minimum distance classifier resulted in the correct identification of more than 92% of the rice chromosomes. The first and second methods gave a correct identification of 91% and 84%, respectively. It is concluded that the 12 rice chromosomes in most spreads could be identified by a computer.

Key words

automatic identification condensation pattern image analysis Oryza sativa rice chromosomes 


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  1. Fukui K (1985) Identification of plant chromosomes by image analysis method.The Cell (Tokyo)17: 145–149.Google Scholar
  2. Fukui K (1986a) Comparison between Giemsa and orcein staining methods in rice chromosomes.La Kromosomo II-43-44, 1398–1404.Google Scholar
  3. Fukui K (1986b) Standardization of karyotyping plant chromosomes by a newly developed chromosome image analyzing system (CHIAS).Theor Appl Genet 72: 27–32.Google Scholar
  4. Fukui K (1988) Analysis and utility of chromosome information by using the chromosome image analyzing system, CHIAS.Bull Natl Inst Agrobiol Resour 4: 153–176.Google Scholar
  5. Fukui K (1989a) Application of image analysis methods in plant chromosome research. In: Hong D, ed.Plant Chromosome Research 1987. Beijing, Academia Sinica, pp 195–200.Google Scholar
  6. Fukui K (1989b) Animals and plants in chromosome research.Chem Biol 27, 303–307.Google Scholar
  7. Fukui K, Iijima K (1991) Somatic chromosome map of rice by imaging methods.Theor Appl Genet 81, 589–596.Google Scholar
  8. Fukui K, Iijima K (1992) Manual on rice chromosomes. (2nd edition)Misc Publ Natl Inst Agrobiol Resour 4: 1–25.Google Scholar
  9. Fukui K, Mukai Y (1988) Condensation pattern as a new image parameter for identification of small chromosomes in plants.Jpn J Genet 63: 359–366.Google Scholar
  10. Fukui K, Ohmido N, Mathias RJ (1992) Analysis and utility of chromosome information 43. Characterization of the chromosomes of genusBrassica. Proc 57th Ann Meet Bot Soc Jpn, 313.Google Scholar
  11. Iijima K, Fukui K (1991) Clarification of the conditions for the image analysis of plant chromosomes.Bull Natl Inst Agrobiol Resour 6: 1–58.Google Scholar
  12. Iijima K, Kakeda K, Fukui K (1991) Identification and characterization of somatic rice chromosomes by imaging methods.Theor Appl Genet 81: 597–605.Google Scholar
  13. Kamisugi Y, Fukui K (1990) Automatic karyotyping of plant chromosomes by imaging techniques.BioTechniques 8: 290–295.Google Scholar
  14. Kuwada Y (1910) A cytological study ofOryza sativa L.Bot Mag Tokyo 26: 267–281.Google Scholar
  15. Yanagisawa T, Tano S, Fukui K, Harada K (1991) Marker chromosomes commonly observed in the genusGlycine.Theor Appl Genet 81: 606–612.Google Scholar

Copyright information

© Rapid Communications of Oxford Ltd 1993

Authors and Affiliations

  • Yasuko Kamisugi
    • 1
  • Noritaka Furuya
    • 2
  • Kanako Iijima
    • 1
  • Kiichi Fukui
    • 3
  1. 1.the Department of Molecular BiologyNational Institute of Agrobiological ResourcesTsukubaJapan
  2. 2.the Department of Environmental ManagementNational Institute of Agro-environmental SciencesTsukubaJapan
  3. 3.the Hokuriku National Agricultural Experiment StationJoetsuJapan

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