Uman NUH | today: 04/14/2024

Ground of parameters of model of variety of winter spelt wheat for the conditions of Right-bank Forrest-steppe of Ukraine

Author(s) Diordieva I., , , Uman National University of Horticulture
Category The Agronomy
year 2020 issue Issue number 96. Part 1
pages 113-125 index UDK 633.11
DOI 10.31395/2415-8240-2020-96-1-113-125 (Link)
Abstract On the basis of perennial researches on analysis of varieties and selection samples of winter spelt wheat the model of variety for conditions of Right-bank Forrest-steppe of Ukraine is built. The average level and scope of variability of 12 basic elements of productivity and quality is determined. Average productivity of spelt was 5,68 t/ha, capacity for fruit-bearing shoots — 3,3 pieces, grain mass per ear — 2,04 g, grain content in the ear — 50 pieces, ear length — 16,9 cm, ear density — 14,9 pcs/10 cm, 1000 grain mass — 50,1 g. Maximum yield was not exceed 6,52 t/ha. It is established that yield capacity of spelt wheat has a strong positive correlation with the mass of grain per ear (r = 0,96) which in turn, is closely related to the number of grains in the ear (r = 0,68). Also yield capacity closely related to number of productive stems per unit area (r = 0,93) and per one plant (r = 0,91). At the same time between protein and gluten content and yield capacity with its main elements close correlation no found. Data of regression analysis allowed to forecasts values of the main elements of yield structure and grain quality at maximum productivity. Thus, at grain yield 6,0–6,5 t/ha plant height must not exceed 80–90 cm, capacity for fruit-bearing shoots — 3,7–4,2 pieces, mass of grain per ear — 2,3–2,5 g, number of grains per ear — 55 pieces, ear density — 16,5 pieces/10 cm. At the same time gluten and protein content theoretically can be at the level of 18–21 % and 39–45 %, respectively. The obtained model is necessary for using at study of initial material, selection of pairs for a hybridization and selection of the best breeding lines.
Key words yield capacity, grain quality, correlation coefficient, regression analysis
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