Affiliation:
1. Siberian Federal Scientific Centre of Agro-BioTechnologies of the Russian Academy of Sciences
2. Siberian Federal Scientific Centre of Agro-BioTechnologies of the Russian Academy of Sciences; Siberian Institute of Plant Growing and Breeding – Branch of the Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences
3. Siberian Federal Scientific Centre of Agro-BioTechnologies of the Russian Academy of Sciences; Novosibirsk State Technical University
Abstract
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.
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