Use of artificial neuronal nets in automation of analysis and genetic identification of electrophoretic spectra of gliadin from durum wheat
Ruanet, V.V.; Kudriavtsev, A.M.; Dadashev, S.I.
Genetika 37(10): 1435-1437
2001
ISSN/ISBN: 0016-6758 PMID: 11761622 Document Number: 534608
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 quality. However, identification of the blocks that constitute the electrophoretic spectrum is a complicated task. For this purpose artificial neural network (ANN) technology is proposed. Based on 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.