Open Access
Agroecological estimation of the new soybean lines developed in the Agricultural Research Center “Donskoy”
Author(s) -
А. Р. Ашиев,
К. Н. Хабибуллин,
М. В. Скулова
Publication year - 2020
Publication title -
zernovoe hozâjstvo rossii
Language(s) - English
Resource type - Journals
eISSN - 2079-8733
pISSN - 2079-8725
DOI - 10.31367/2079-8725-2019-66-6-7-11
Subject(s) - agroecology , agriculture , productivity , estimation , adaptability , mathematics , environmental science , agricultural engineering , statistics , agricultural science , biology , engineering , ecology , economics , systems engineering , macroeconomics
The current paper has presented a material on agroecological estimation of the new soybean lines developed in the Agricultural Research Center “Donskoy”. As a result of the competitive variety testing in 2017–2019, five soybean lines of the middle-early ripening group were selected with a vegetation period less than 120 days, exceeding the standard variety “Don 21” in seed productivity. The temperature and water conditions during the years of study were different, which allowed evaluating the lines in contrasting cultivation conditions. Statistical data processing was carried out by B. A. Dospekhov’s analysis of variance (2012). Agroecological estimation of the new soybean lines was carried out according to S. A. Eberhart and W. A. Russell’s method (1984) and according to V. V. Khangildin’s method (1984). Based on the conducted study, there were identified the lines “L-1016” and “L-1017”, which are characterized by stabile productivity, and the lines “L-1001”, “L-1012” and “L-1013” which are responsive to the improvement of the agricultural background. The identified soybean lines “L-1016” and “L-1017” will be used in future breeding as the sources of adaptability, and the lines “L-1001”, “L-1012” and “L1013” to develop varieties of intensive type. Comparing the time cost, the need for computer technology to carry out calculations according to the methods of agroecological estimation proposed by S. A. Eberhart / W. A. Russell and V. V. Khangildin, the first method is more labor-intensive. According to the first method, the indicators of agroecological estimation must be recalculated if the number of samples changes, since they affect the final result of the calculations, but the second method does not need it. It has been recommended when working with a large number of breeding material to use the method proposed by V. V. Khangildin to speed up math calculations in agroecological estimation.