Relevance. Potato is one of the most important agricultural crops used for various purposes. Its tubers are an essential food product for many people worldwide. The development of breeding technologies and an accelerated marketing of new promising potato genotypes play a significant role in the industry of potato production today. FSBSI “FSC of Agricultural Biotechnologies of the Far East named after A.K. Chaiki” conducted a complex study on potato hybrids.The research goal was to evaluate and select promising potato hybrids with high yield, marketability, and resistance to the most dangerous diseases. The experiments were carried out in our breeding nurseries located at Putsilovka v., Ussuriysk district, in the Kazachka river valley. Hybrids Purple potato × Manifest and (Aspiya×Qusto) × Manifest were used as the research object. The methodology of FSBSI “N. I. Vavilov All-Russian Institute of Plant Genetic Resources” and FSBSI “Russian Potato Research Center” were employed for the trials of the material. Fifty-two potato varieties from different maturity groups were used as pollen sources.Results. As the result, seventy-one hybrid combinations were created, 2272 flowers were pollinated, and 640 potato fruits were obtained. The efficiency of the crossing was 28.2%. Hybrids Pri15-12-23 Purple potato × Manifest and Pri-15-15-7 (Aspiya×Qusto) × Manifest had the highest rate of potato fruit formation. These accessions were characterized by good taste and high yield (48.7-51.0 t/ha), starch content (13.9-16.3 %), and vitamin C (15.0-15.4 mg/100 g). Tubers of these genotypes were oblong-oval or round with yellow flesh and small eyes. The studied accessions showed resistance to the main plant pathogens of the Russian Far East. Currently the obtained genotypes are tested for resistance to potato wart disease (S. Endobioticum, Dahlem pathotype) in the State variety trials. These accessions generate significant interest for breeding.

One of the important task of the education system is to ensure the high quality training of students with a competency-based approach. The authors offered a scenario of the visual assessment technique of the level of students’ competencies creation with the usage of software tools, which together with innovative diagnostic algorithm allow to provide the analysis of educational data, see the results of the educational program learning and draw the conclusion about the level of students’ created competencies. The software tools are based on the ranking of components “knowledge – efficiencies – skills”, that is used for solving the problem of assessment of the levels of students’ competencies creation by the method of hierarchical system of fuzzy inference and centre-of-influence method. Statistical processing of the educational outcome is built in the developed program scenario that allow to provide a comprehensive visual presentation on analyzed sample of input data. Data display using the proposed data and obtained graphs allows to define vulnerabilities of the training of the students and the capacity to deal with them. On the use of developed scenario it is possible to observe the dynamics of students’ competencies creation and to improve the methodology and technology of educational process.

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In the study the authors show how visualization and analysis of education data could be used in simulation and adjustment of education program curriculum for future evaluation of the formation levels the graduates competences as specified by educational standard. The authors suggest the scenario that demonstrate the possibility of automatic evaluation of graduate competences formation. This study is a viable teaching tool that can be used to simulation of the pedagogical activity scenario in order to eliminate all kinds of gaps in the training of the graduates and the evaluation of their professional competencies. The approach proposed in the study can be used to build a more result-oriented educational program by its redesigning to eliminate identified gaps in the consideration of important learning outcomes (the formation level of graduates' professional competencies) and evaluate the educational program using an updated visual model of evaluation activity. The relevance of this work is also based on its contribution to expanding the capabilities of multidimensional analysis and visualization of the results in relation to solving professional educational tasks.

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