{"title":"Morphometric Analysis of Tor tambroides by Stepwise Discriminant and Neural Network Analysis","authors":"M. Pollar, M. Jaroensutasinee, K. Jaroensutasinee","volume":9,"journal":"International Journal of Bioengineering and Life Sciences","pagesStart":106,"pagesEnd":111,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/7530","abstract":"The population structure of the Tor tambroides was\ninvestigated with morphometric data (i.e. morphormetric\nmeasurement and truss measurement). A morphometric analysis was\nconducted to compare specimens from three waterfalls: Sunanta, Nan\nChong Fa and Wang Muang waterfalls at Khao Nan National Park,\nNakhon Si Thammarat, Southern Thailand. The results of stepwise\ndiscriminant analysis on seven morphometric variables and 21 truss\nvariables per individual were the same as from a neural network. Fish\nfrom three waterfalls were separated into three groups based on their\nmorphometric measurements. The morphometric data shows that the\nnerual network model performed better than the stepwise\ndiscriminant analysis.","references":"[1] N. Poulet, Y. Reyjol, H. Collier, and S. Lek, \"Does fish scale\nmorphology allow the identification of populatio leuciscus burdigalensis\nin river Viaur (SW France),\" Aquat. Sci., vol. 67, pp. 122-127, 2005.\n[2] S. H. Cardin and K. D. Friedland, \"The utility of image processing\ntechniques for morphometric analysis and stock identification,\" Fisher.\nResearch, vol. 43, pp. 129-139, 1999.\n[3] K. M. Bailey, \"Structural dynamics and ecology of flatfish populations,\"\nJ. Sea Research, vol. 37, pp. 269-280, 1997.\n[4] A. G. Murta, \"Morphological variation of horse mackerel (Trachuvus\ntrachurus) in the Iberian and North African Atlantic: implications for\nstock identification,\" J. Mar. Sci., vol. 57, 1240-1248, 2002.\n[5] A. Pinheiro, C. M. Teixeira, A. L. Rego, J.F. Marques, H.N.Cabral,\n\"Genetic and morphological variation of Solea lascaris (Risso, 1810)\nalong the Portuguese coast,\" Fisheries research, vol. 73, pp. 67-78,\n2005.\n[6] A. Silva, \"Morphometric variation among sardine (Sardina pilchardus)\npopulations from the northestern Allantic and the Western\nMediterranean,\" J. Mar. Sci., vol. 60, pp. 1352-1360, 2003.\n[7] F. Saborido-Rey and K. J. Nedreaas, \"Geographic variation of Sebastes\nmentella in the Northeast Arctic derived from a morphological\napproach,\" J. Mar. Sci., vol. 57, pp. 965-975, 2000.\n[8] J. Palma and J. P. Andrade, \"Morphological study of Diplodus sargus,\nDiplodus puntazo, and Lithognathus mornurus (Sparidae) in the Eastern\nAtlantic and Mediterranean Sea,\" Fisher. Research, vol. 57, pp.1-8,\n2002.\n[9] J. P. Salani, D. A. Milton, M. J. Rahman, and M. G. Hussian, \"Allozyme\nand morphological variation throughout the geographic range of the\ntropical shad, hila Tenualosa ilisha,\" Fisher. Research, vol. 66, pp. 53-\n69, 2004.\n[10] K. Vidalis, \"Discrimination between population of picarel (Spicara\nsmaris L., 1758) in the Aegean Sea, using multivariate analysis of\nphonetic characters,\" Fisher. Research, vol. 30, pp.191-197, 1997.\n[11] W. R. Bowering, \"An analysis of morphometric characters northwest\nAtlantic using a multivariate analysis of covariance,\" Can. J. Fisher.\nAquat. Sci., vol. 45, pp. 580-585, 1998.\n[12] K. A. Smith, \"A simple multivariate technique to improve the design of\na sampling strategy for age-based fishery monitoring,\" Fisher. Research,\nvol. 64, pp. 79-85, 2003.\n[13] I. Pulido-Calvo and M. M Portela, \"Application of neural approaches to\none-step daily flow forecasting in Portuguese watersheds,\" J. Hydrol., to\nbe published.\n[14] G. Winterer, M. Ziller, B. Kloppel, A. Heinz, L. G. Schmidt, and W. M.\nHerrmann, \"Analysis of quantitative EEG with Artificial neural\nnetworks and discriminant analysis - A methodological comparison,\"\nNeuropsychobiol., vol. 37, pp. 41-48, 1998.\n[15] G. P. Zhang, \"Time series forecasting using a hybrid ARIMA and neural\nnetwork model,\" Neurocomputing, vol. 50, pp. 159-175, 2003.\n[16] J. F. Hair, E. A. Rolph, L. T. Roland, and C. B. William, \"Multivariate\ndata analysis,\" New Jersersy: Prentice Hall, 1995, ch. 5.\n[17] Z. Ramadan, S. Xin-Hua, K. H. Philip, J. J. Mara, and M. S. Kate,\n\"Variable selection in classification of environmental soil samples for\npartial least square and neural network models,\" Anal. Chem. Acta, vol.\n446, pp. 233-244, 2001.\n[18] D. P. Swain and C. J. Foote, \"Stocks and chameleons: the use of\nphenotypic variation in stock identification,\" Fisher. research, vol. 47,\npp. 113-128, 1999..\n[19] Guide to Using Neural Tools, Palisade Corporation, New York, 2005.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 9, 2007"}