Genisys and computer-assisted identification of nematodes

Nematology

Volumn 2, Issue 1, 2000, Pages 17-30

  Diederich, Jim ^a   Fortuner, Renaud ^b   Milton, Jack ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b La Cure   (France)

Author keywords

Anatomy; Biological characters; Biological database; Computerised identification tools; Description; Morphology; Organs; Representation; Systems; Uniformity

Indexed keywords

COMPUTER SYSTEM; IDENTIFICATION METHOD; NEMATODE; TAXONOMY;

NEMATODA;

EID: 0034029289     PISSN: 13885545     EISSN: None     Source Type: Journal    
DOI: 10.1163/156854100508863     Document Type: Conference Paper

References (50)

1. BOAG, B. & SMITH, P. (1983). Computer assisted identification of nematodes. Systematic Parasitology 5, 235-239.
2. BOAG, B., TOPHAM, P.B., BROWN, D.J.F. & SMITH, P. (1989). The use of microcomputers for the identification of plant-parasitic nematodes. In: Fortuner, R. (Ed.). Nematode identification and expert system technology. New York, NY, USA, Plenum Publishing Corp, pp. 9-18.
3. BODDY, L., MORRIS, C.W. & MORGAN, A. (1998). Development of artificial neural networks for identification. In: Bridge, P., Jeffries, P., Morse, D.R. & Scott, P.R. (Eds). Information technology, plant pathology and biodiversity. Wallingford, UK & New York, NY, USA, CAB International, pp. 221-231.
4. BRIDGE, P., JEFFRIES, P., MORSE, D.R. & SCOTT, P.R. (1998). Information technology, plant pathology and biodiversity. Wallingford, UK & New York, NY, USA, CAB International, xiv + 478 pp.
5. DALLWITZ, M.J. (1980). A general system for coding taxonomic description. Taxon 29, 41-46.
6. DALLWITZ, M.J. (1993). DELTA and INTKEY. In: Fortuner, R. (Ed.). Nematode identification and expert system technology. New York, NY, USA, Plenum Publishing Corp, pp. 287-296.
7. DIEDERICH, J. (1997). Basic properties for biological databases: character development and support. Journal of Mathematical and Computer Modelling 25, 109-127.
8. DIEDERICH, J. & FORTUNER, R. (1996). Endorsement of observations in identification. Fifth IEEE International Conference on Fuzzy Systems, 8-11 September 1996, New Orleans, LO, USA, pp. 175-179.
9. DIEDERICH, J. & FORTUNER, R. (1998). Classification using small fuzzy biological data sets. IEEE International Conference on Fuzzy Systems, 4-9 May 1998, Anchorage, Alaska, USA, pp. 1429-1434.
10. DIEDERICH, J., FORTUNER, R. & MILTON, J. (1989). Building a knowledge base for plant-parasitic nematodes: description and specification of metadata. In: Fortuner, R., (Ed.). Nematode identification and expert system technology. New York, NY, USA, Plenum Publishing Corp, pp. 65-76.
11. DIEDERICH, J., FORTUNER, R. & MILTON, J. (1997). Construction and integration of large character sets for nematode morpho-anatomical data. Fundamental and Applied Nematology 20, 409-424.
12. DIEDERICH, J., FORTUNER, R. & MILTON, J. (1998). A general structure for biological databases. In: Bridge, P., Jeffries, P., Morse, D.R. & Scott, P.R. (Eds). Information technology, plant pathology and biodiversity. Wallingford, UK, CAB International, pp. 47-58.
13. DIEDERICH, J., FORTUNER, R. & MILTON, J. (1999). Computer-assisted data extraction from the taxonomical literature. Virtual publication on: http://math.ucdavis.edu/∼milton/genisys.html.
14. DIEDERICH, J. & MILTON, J. (1989). NEMISYS, an expert system for nematode identification. In: Fortuner, R. (Ed.). Nematode identification and expert system technology. New York, NY, USA, Plenum Publishing Corp, pp. 45-63.
15. DIEDERICH, J. & MILTON, J. (1991). Creating domain specific metadata for scientific data and knowledge bases. IEEE Transactions on Knowledge and Data Engineering 3, 421-434.
16. DIEDERICH, J. & MILTON, J. (1993a). Expert workstations: a toolbased approach. In: Fortuner, R. (Ed.). 1993. Advances in computer methods for systematic biology: artificial intelligence, databases, computer vision. Baltimore, MD, USA, The Johns Hopkins University Press, pp. 103-123.
17. DIEDERICH, J. & MILTON, J. (1993b). NEMISYS: an expert workstation, a computer science perspective. In: Fortuner, R. (Ed.). 1993. Advances in computer methods for systematic biology: artificial intelligence, databases, computer vision. Baltimore, MD, USA, The Johns Hopkins University Press, pp. 165-179.
18. EISENBACK, J.D. (1997). Root-knot taxonomic database. Wallingford, UK, CAB International, CD-ROM.
19. FERNANDEZ-VALDIVIA, J., CASTILLO, P. & GOMEZ-BARCINA, A. (1989). Use of image analysis for automatic recognition of nematodes. In: Fortuner, R., (Ed.). Nematode identification and expert system technology. New York, NY, USA, Plenum Publishing Corp, pp. 293-299.
20. FERNANDEZ-VALDIVIA, J., PÉREZ DE LA BLANCA, N., CASTILLO, P. & GOMEZ-BARCINA, A. (1992). Line detection and texture analysis for automatic nematode identification. Journal of Nematology 24, 571-577.
21. FORTUNER, R. (1983). Computer assisted semi-automatic identification of Helicotylenchus species. California Plant Disease Reporter 2, 45-48.
22. FORTUNER, R. (1989a). Nematode identification and expert system technology. New York, NY, USA, Plenum Publishing Corp, ix + 386 pp.
23. FORTUNER, R. (1989b). A new description of the process of identification of plant-parasitic nematode genera. In: Fortuner, R. (Ed.). Nematode identification and expert system technology. New York, NY, USA, Plenum Publishing Corp, pp. 35-44.
24. FORTUNER, R. (1991). The Hoplolaiminae. In: W.R. Nickle (Ed.). A manual of agricultural nematology. New York, NY, USA, Marcel Dekker, pp. 669-719.
25. FORTUNER, R. (1993a). Advances in computer methods for systematic biology: artificial intelligence, databases, computer vision. Baltimore, MD, USA, The Johns Hopkins University Press, xiv + 560 pp.
26. FORTUNER, R. (1993b). The NEMISYS solution to problems in nematode identification. In: Fortuner, R. (Ed.). Advances in computer methods for systematic biology: artificial intelligence, databases, computer vision. Baltimore, MD, USA, The Johns Hopkins University Press, pp. 137-164.
27. FORTUNER, R. & MAGGENTI, A.R. (1991). A statistical approach to the objective differentiation of Hirschmanniella oryzae from H. belli (Nemata: Pratylenchidae). Revue de Nématologie 14, 165-180.
28. FORTUNER, R. & WONG, Y. (1983). NEMAID, Computer program for identification of nematodes. User's manual. Sacramento, CA, USA, California Department of Food and Agriculture, Publication No. 640, 44 pp.
29. FORTUNER, R. & WONG, Y. (1985). Review of the genus Helicotylenchus Steiner, 1945. 1. A computer program for identification of the species. Revue de Nématologie 7, 385-392.
30. GALTSOVA, V.V. & KULANGIEVA, K.V. (1995). Expert system for identification of freeliving nematodes. Ninth International Meiofauna Conference, Perpignan, France, 3-7 July 1995, 9, 62.
31. IVEZIC, M., VUKADINOVIC & HORVAT, D. (1992). [A computer program for the determination of the nematode genus Pratylenchus (Filipjev, 1936).] Znanost i Praksa u Poljoprivredi i Prehrambenoj Tehnologiji 22, 191-197.
32. LAMBERTI, F. & CIANCIO, A. (1994). The relationships between species within the Xiphinema americanum group (Nematoda: Dorylaimida). Bulletin OEPP 24, 475-484.
33. LEBBE, J. (1991). Représentation des concepts en biologie et en médecine. Introduction à l'analyse des connaissances et à l'identification assistée par ordinateur. Thèse de doctorat, Université Pierre et Marie Curie, Paris, xii + 282 + xxiv pp.
34. MAGGENTI, A.R., LUC, M., RASKI, D.J., FORTUNER, R. & GERAERT, E. (1987). A reappraisal of Tylenchina (Nemata). 2. Classification of the suborder Tylenchina (Nemata, Diplogasteria). Revue de Nématologie 10, 135-142.
35. PANKHURST, R.J. (1975). Biological identification with computers. London, UK, Academic Press, 333 pp.
36. PANKHURST, R.J. (1978). Biological identification. In: The principles and practices of identification methods in biology. London, UK, Edward Arnold, 104 pp.
37. PANKHURST, R.J. (1993). Principles and problems of identification. In: Fortuner, R. (Ed.). 1993. Advances in computer methods for systematic biology: artificial intelligence, databases, computer vision. Baltimore, MD, USA, The Johns Hopkins University Press, pp. 125-136.
38. DE PALHARES-MELO, L.A.M. & BASTOS, R.C. (1997). A preliminary study for constructing a computational procedure for nematodes identification based on morphological aspects. Proceedings of the 1st European Conference for Information Technology in Agriculture, Copenhagen, Denmark, 15-18 June 1997, pp. 405-408.
39. REY, J. M., ANDRES, M. F. & ARIAS, M. (1988). A computer method for identifying nematode species 1. Genus Longidorus (Nematoda: Longidoridae). Revue de Nématologie 11, 129-135.
40. REY, J. M. & MAHAJAN, R. (1988). A computer method for identifying nematode species 2. Genera Tylenchorhynchus and Merlinius (Nematoda: Tylenchina). Revue de Nématologie 11, 269-277.
41. RYSS, A. (1997a). Computerized identification of species of the genus Radopholus (Tylenchida: Pratylenchidae). Russian Journal of Nematology 5, 137-142.
42. RYSS, A. (1997b). Computerized identification of the plant nematodes of the family Pratylenchidae. Proceedings of the 49th International Symposium on Crop Protection, Gent, Belgium, 6 May 1997, Part III, 62, 3a, 701-711.
43. SCHALK, P.H. (1998). Archiving biodiversity: information technology applied to biodiversity information management. In: Bridge, P., Jeffries, P., Morse, D.R., & Scott, P.R. (Eds). Information technology, plant pathology and biodiversity. Wallingford, UK & New York, NY, USA, CAB International, pp. 213-220.
44. SCOTT, P.R. (1998). The incredible pace of change: information technology in support of plant pathology. In: Bridge, P., Jeffries, P., Morse, D.R. and Scott, P.R. (Eds). Information technology, plant pathology and biodiversity. Wallingford, UK & New York, NY, USA, CAB International, pp. 1-13.
45. TARDIVEL, G.M. & MORSE, D.R. (1998). The role of the user in computer-based species identification. In: Bridge, P., Jeffries, P., Morse, D.R. and Scott, P.R. (Eds). Information technology, plant pathology and biodiversity. Wallingford, UK & New York, NY, USA, CAB International, pp. 247-259.
46. TARJAN, A.C. (1989). Multiple entry identification keys. In: Fortuner, R. (Ed.). Nematode identification and expert system technology. New York, USA, Plenum Publishing Corp, pp. 27-30.
47. VISCARDI, T. & BRZESKI, M.W. (1993). DITYL: computerized key for species identification of Ditylenchus (Nematoda: Anguinidae). Fundamental and Applied Nematology 16, 389-392.
48. VISCARDI, T. & BRZESKI, M.W. (1995). [Computerized key for eelworms identification]. Materialy Sesji Instytutu Ochrony Roslin 35, 374-375.
49. YO-WEIMIN (1996). Applying Microsoft Works spreadsheet in statistics for morphometric data of nematode identification. Afro-Asian Journal of Nematology 6, 203-211.
50. ZULLINI, A. & MARGANELLI, G. (1989). A new computer program for nematode identification. Computer Applications in the BioSciences 5, 243-244.