THE RESULTS OF THE COMPETITIVE VARIETY TESTING OF SAFFLOWER DYE IN THE RAIN CONDITIONS OF THE LOWER VOLGA REGION
Tyutyuma Natalya Vladimirovna - Doctor of Agricultural Sciences, Professor of the Russian Academy of Sciences, Corresponding Member of the Russian Academy of Sciences, director, Caspian Agrarian Federal Scientific Center of the Russian Academy of Sciences, Russian Federation, 416251, Astrakhan region, village Solenoye Zaimishche, sq. Northern, 8, pniiaz@mail.ru
Klimova Irina Ivanovna - Researcher, Precaspian Agrarian Federal Scientific Center of the Russian Academy of Sciences, 416251, Astrakhan region, Chernoyarsky district, village of Solyonoye Zaymishche, Severniy Kvartal st., 8, pniiaz@mail.ru
Yachmeneva Ekaterina Vasilyevna - Researcher, Precaspian Agrarian Federal Scientific Center of the Russian Academy of Sciences, 416251, Astrakhan region, Chernoyarsky district, village of Solyonoye Zaymishche, Severniy Kvartal st., 8, pniiaz@mail.ru
Recently, there has been a growing interest in safflower dye due to its demand in foreign and domestic markets. Compared with other crops, safflower has undeniable advantages, as it is most adapted to the arid conditions of regions with insufficient moisture. The article presents the results of an experiment on the study of safflower samples from the VIR collection, in order to identify the most adapted and resistant to the conditions of the Lower Volga region. In the process of competitive variety testing, samples with the best productivity indicators were selected for further use in breeding work. During the period of studying 50 safflower samples, we identified 11 most promising ones that exceeded the control in all indicators of seed productivity. Samples K-90 (Egypt), K-8 (Uzbekistan), K-113 (India), K-9 (Uzbekistan) and K-475 (Pakistan) were selected from them, the yield of which was 1.03-1.25 t/ha with an addition to the control of 0.43-0.65 t/ha.
Key words: safflower dye, climatic conditions, growing season, introduced varieties, signs, variety testing, elements of productivity, breeding value, promising samples, yield.
