Issue |
E3S Web Conf.
Volume 254, 2021
International Scientific and Practical Conference “Fundamental and Applied Research in Biology and Agriculture: Current Issues, Achievements and Innovations” (FARBA 2021)
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Article Number | 01028 | |
Number of page(s) | 7 | |
Section | Genetic Resources Are the Basis of Selection and Seed Production in the Development of Organic Agriculture | |
DOI | https://doi.org/10.1051/e3sconf/202125401028 | |
Published online | 05 May 2021 |
The source material estimation of early-maturing group soybeans by adaptability parameters
Federal State Budgetary Scientific Institution Federal Scientific Center “All-Russian Research Institute of Soybeans”, 675027 Blagoveshchensk, Russian Federation
* Corresponding author: gap@vniisoi.ru
The article presents the results of 2018—2020 study of 22 early-maturing group soybeans samples of the collection nursery; those samples are of various ecological-geographical origin according to adaptability parameters, plasticity and stability in the conditions of the south of the Amur region, the analysis of yield variability was carried out. The research was carried out on the experimental field of the laboratory of selection and genetics of soybeans FSBSI FSC All-Russian Scientific and Recearch Center of soybean, Sadovoye village, Tambov region. The average varietal soybean seeds yield in the years of research amounted to 2.37 t/ha. Based on the results of agro-ecological assessment of 22 soybean samples, adaptive, plastic and stable samples have been identified, which have an insignificant variation indicator in yield: Heihe 25 (V=3.23%; Ка=1.14; bi=1.00; Si2=0.03), Hei 06–1625 (V=4.69%; Ка=1.06; bi=1.29; Si2=0.01), Hei 05–1031 (V=3.74%; Ка=1.03; bi=1.60; Si2=0.01) and McCall (V=2.34%; Ка=1.06; bi=1.03; Si2=0.01). These genotypes are of practical interest as initial parent forms in selection for adaptability in conditions of the Amur region.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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