The multitude of existing methods for assessing the phenotypic stability of plants makes breeders be faced with the problem of choosing an appropriate variant. The purpose of this study was to compare different methods of analyzing the genotype × environment interaction and, on their basis, assess the stability of the yield of 7 varieties of winter wheat. The article compares 17 stability statistics by applying them to data obtained from agrotechnical experiments carried in 2009–2011 for evaluating the grain yield of 7 varieties of winter common wheat of Siberian selection (Novosibirskaya 32, Novosibirskaya 40, Novosibirskaya 51, Novosibirskaya 3, Novosibirskaya 2, Obskaya winter, Omskaya 6). Analysis of variance revealed a significant ( p < 0.001) genotype × environment interaction in the experiments, which indicates a different reaction of genotypes to changes in environmental conditions. Genotypes were ranked according to the level of stability. Based on the analysis of the rank correlation matrix, the stability statistics were categorized in five groups. Recommendations were made on which group of methods to use depending on the objectives of the study. In the case when the goal of breeding research is the selection of the most biologically stable varieties with the minimum variance across a range of environments, one should use the methods of the static concept. If it is necessary to choose a genotype with a predictable reaction to changes of environmental conditions, corresponding to the calculated level or forecast, the regression approach is the most appropriate. The stability statistics generally identified Novosibirskaya 32 as the most stable variety from a biological point of view. The regression approach showed that Novosibirskaya 3 was the genotype with the smallest deviation from mean yield in all environments, while methods accessing the contribution of each genotype to the genotype × environment interaction defined Novosibirskaya 51 as the most stable variety.

The studies were carried out to improve the efficiency of the selection process in the creation of new varieties of spring triticale with the required combination of economically important features. The paper describes the structure and application of the developed software and algorithmic complex for information support of selection of grain crops. The main used methods of evaluation of breeding material are considered: evaluation of combinational ability of parent forms by methods of diallel analysis, method of evaluation of ecological plasticity of varieties and lines in terms of intensity and stability, integral evaluation of breeding value by methods of scalar ranking and statistical analysis. The purpose and functionality of the software products included in the complex for different stages of the breeding process are described. The results of testing programs using samples of spring wheat and triticale allowed evaluating the collection of samples and selection of parent forms of spring triticale for hybridization.

№ 5 2017 88 аВТоМаТиЗациЯ, МодЕлиРоВаНиЕ и иНФоРМациоННоЕ оБЕсПЕЧЕНиЕ Программная среда R в настоящее время -безусловный лидер среди свободно распространяемых систем статистического анализа. Ведущие университеты мира, аналитики крупнейших компаний и исследовательских центров постоянно используют среду R при проведении научно-технических расчетов и создании крупных информационных проектов [1, 2]. Широкое преподавание статистики на базе пакетов этой , кандидат физико-математических наук, ведущий научный сотрудник, А.Ф. АЛЕЙНИКОВ 1, 2 , доктор технических наук, главный научный сотрудник, профессор, И.Г. ГРЕБЕННИКОВА 1 , кандидат сельскохозяйственных наук, ведущий научный сотрудник, П.И. СТЁПОЧКИН 3 , доктор сельскохозяйственных наук, ведущий научный сотрудник 1 сибирский федеральный научный центр агробиотехнологий РаН, 630501, Россия, Новосибирская область, пос. Краснообск, 3 сибирский научно-исследовательский институт растениеводства и селекциифилиал института цитологии и генетики со РаН 630501, Россия, Новосибирская область, пос. Краснообск,

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The results of testing new Agrostab computer program “Indicators of stability of agricultural crops varieties” based on long-term (2017–2019) field research data in Novosibirsk region are presented. The program implements modern methods for assessing the ecological plasticity of varieties and allows to evaluate the stability of genotypes by a set of phenotypic characters. The research material was common spring wheat varieties from the Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences (Novosibirskaya 15, Novosibirskaya 31, Sibirskaya 12), and collection forms of spring hexaploid triticale from the VIR world collection Lt-F6544-6 (k-3992), variety Ukro (k-3644) and Sears 57 × Ukro hybrid received as a result of breeding. The samples had a different ecological and geographical origin and belonged to different ripeness groups. Plants were grown organically without the use of fertilizers and pesticides. They were sown at different times after bare fallow in four repetitions. In the course of the experiment, the following genotype stability indicators were determined: environmental variance, coefficient of homeostaticity, weighted homeostacity index, steadiness of stability index, coefficient of multiplicativity, specific adaptive ability, superiority measure, ecovalence, regression to environmental index, non-parametric stability index. The necessity of using the complex value of the integrated selection index to calculate the parameters of plasticity and genotype stability is shown. Testing of the Agrostab program for breeding of spring triticale made it possible to determine the targeted vector for the selection of varieties in the agroclimatic conditions of Western Siberia and adaptive samples to be included in hybridization. The use of new models and methods of statistical data analysis to determine the environmental plasticity of varieties and hybrids will increase the efficiency of the breeding process.