Abstract
Each wheat cultivar has a characteristic spectrum of gliadins. This makes it possible to use blocks of the components of reserve proteins as genetic markers when estimating seed purity and identity. However, identification of the blocks that constitute the electrophoretic spectrum is a complicated task. For this purpose artificial neural network (ANN) technology is proposed. Using experimental data, a teaching database and testing databases have been created. ANN was shown to be highly efficient (efficiency up to 100%) expert system for deciphering the electrophoretic spectra of gliadins of durum wheat cultivars.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
REFERENCES
Sozinov, A.A., Polimorfizm belkov i ego znachenie v genetike i selektsii (Protein Polymorphism and Its Importance for Genetics and Breeding), Moscow: Nauka, 1985.
Bushuk, W. and Zillman, R.R., Wheat Cultivars Identification by Gliadin Electrophoregrams: 1. Apparatus, Method, and Nomenclature, Can. J. Plant. Sci., 1978, vol. 58, pp. 505-515.
Wrigley, C.W., Robinson, R.A., and Williams, W.T., Association between Electrophoretic Patterns of Gliadin Proteins and Quality Characteristics of Wheat Cultivars, J. Sci. Food Agric., 1981, vol. 32, pp. 154-162.
Gorban', N.A., Obuchenie neironnykh setei (Teaching Neuronal Networks), Moscow: ParaGraf, 1990.
Gorban', N.A., Dunin-Barkovskii, V.L., et al., Neiroinformatika (Neuroinformatics), Novosibirsk: Nauka, 1998.
Metakovsky, E.V. and Novoselskaya, A.Yu., Gliadin Allele Identification in Common Wheat: I. Methodological Aspects of the Analysis of Gliadin Patterns by One-Dimensional Polyacrylamide Gel Electrophoresis, J. Genet. Breed., 1992, vol. 45, pp. 317-324.
Kudryavtsev, A.M., Boggini, G., Benedettelli, S., and Iilichevskii, N.N., Gliadin Polymorphism and Genetic Diversity of Modern Italian Durum Wheat, J. Genet. Breed., 1996, vol. 50, pp. 239-248.
Kudryavtsev, A.M., Genetics of Gliadin of Spring Durum Wheat ( Triticum durum Desf.), Genetika (Moscow), 1994, vol. 30, pp. 77-84.
Metakovsky, E.V., Wrigley, C.W., Bekes, F., and Gupta, R.B., Gluten Polypeptides as Useful Genetic Markers of Dough Quality in Australian Wheats, Aust. J. Agric. Res., 1990, vol. 41, pp. 289-306.
Gorban', N.A. and Rossiev, D.A., Neironnye seti na personal'nom komp'yutere (Neuronal Networks on a Personal Computer), Novosibirsk: Nauka, 1996.
Rybina, G.V., Proektirovanie sistem, osnovannykh na znaniyakh (Design of Knowledge-Based Systems), Moscow: MIFI, 2000.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Ruanet, V.V., Kudryavtsev, A.M. & Dadashev, S.Y. The Use of Artificial Neural Networks for Automatic Analysis and Genetic Identification of Gliadin Electrophoretic Spectra in Durum Wheat. Russian Journal of Genetics 37, 1207–1209 (2001). https://doi.org/10.1023/A:1012321109086
Issue Date:
DOI: https://doi.org/10.1023/A:1012321109086