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Article information
2016 , Volume 21, Special issue, p.53-64
Grebennikova I.G., Aleynikov A.F., Stepochkin P.I.
The construction of a spring triticale variety model on the basis of modern information technologies
Purpose.To develop a model of a spring triticale variety as grain forage adapted to the conditions of West Siberian forest-steppe of the Ob region. Methods. The variety model is developed on the basis of breeding studies of the spring triticale forms by using the results of the analysis of the relationships between indexes of plant grains mass andmorphobiological characteristics. Results. A database has been made based on the results of breeding research of the main economic traits of spring triticale samples. As the object of research there were used four samples ofspring triticale from the VIR, were used. The hybrids were obtained with the help of the complete crosses of these samples with each other as well as the hybrids of these triticale forms with the winter variety SIRS 57 bread in the SIBNIIRS. The crosses have been done within the diallele screme. Studies wereconducted under the conditions of the forest-steppe of the Ob region. The database contains some information about the study of the samples of spring triticale on the grain yield, quality, resistance to diseases, pests and other factors. A conceptual scheme of the spring triticale variety model is eleaborated revealing logical sequence of operations required to build a version of the model class. Use of the practical data to correctthe parameters of the model variety allowed us to determine limits of variability of the potential yield, which are provided by the climate resources ina specific soil-climatic zone. The model is developed using the results of the analysis of the correlations between the indexes plant grains mass and plant morpho-biological traits. We have determined the optimal parameters a model of a spring triticale variety of the grain feed direction and adapted to the specific conditions. Establishing correlations between different plant characteristics allows planning the ways to increase agriculturalproductivity, resistance to stress factors of the environment, improve seed quality and technological effectiveness of varieties. Conclusion. The proposed optimal parameters of the variety model promote improving the efficiency of selection ofvaluable genotypes and conduct targeted breeding on adaptability to the conditions of the region to create new highyielding varieties of spring triticale.
[full text]
Keywords: model class, database, correlation analysis, information-analytical system
Author(s):
Grebennikova Irina Gennadyevna
Position: Research Scientist
Office: Siberian Federal Scientific Center of Agro-BioTechnologies
Address: 630501, Russia, Krasnoobsk
Phone Office: (383) 3480988
E-mail: sibfti.grig@ngs.ru
SPIN-code: 6948-1990Aleynikov Alexander Fedorovich
Dr. , Professor
Position: General Scientist
Office: Siberian federal scientific center of biotechnologies of the Russian Academy of Sciences
Address: 630501, Russia, Novosibirsk
Phone Office: (383) 3483460
E-mail: fti2009@yandex.ru
SPIN-code: 6885-7554Stepochkin Petr Ivanovich
Dr.
Position: Leading research officer
Office: Siberian Institute of Plant Growing and Breeding - Branch of the Institute of Cytology and Genetics SB RAS
Address: 630501, Russia, Krasnoobsk
Phone Office: (383) 3481947
E-mail: petstep@ngs.ru
SPIN-code: 7015-5315 References:
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Bibliography link:
Grebennikova I.G., Aleynikov A.F., Stepochkin P.I. The construction of a spring triticale variety model on the basis of modern information technologies // Computational technologies. 2016. V. 21. Special issue: Information technologies, systems and equipment in agroindustrial complex. P. 53-64
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