E3S Web Conf.
Volume 175, 2020XIII International Scientific and Practical Conference “State and Prospects for the Development of Agribusiness – INTERAGROMASH 2020”
|Number of page(s)||6|
|Section||Plant Growing and Cereal Grain|
|Published online||29 June 2020|
Estimation of ecological adaptability and stability of the promising winter barley varieties in a competitive variety testing
FSBSI “Agricultural Research Center “Donskoy”, 3, Nauchny Gorodok, 347740, Zernograd, Russia
* Corresponding author: email@example.com
There has been estimated the ecological adaptability and stability of winter barley varieties in the conditions of the Rostov region. There were studied 4 varieties and 6 lines of winter barley developed in the FSBSI “Agricultural Research Center “Donskoy”. The estimation was conducted according to the S.A. Eberchart, W.A. Rassel method (1966, ed. by V.A. Zykin), using a statistical processing software Statistica 10 and Excel. During the years of study (2017-2019), the environmental conditions varied significantly, which allowed reliably estimating the environmental adaptability and stability of the studied varieties and lines. The analysis of adaptability and stability resulted in identification of such responsive varieties as ‘Marusya’ and ‘Yerema’, as well as the line ‘Parallelum 1976’ with linear regression coefficients more than 1. The varieties ‘Marusya’ and ‘Yerema’ were the best ones among the studied varieties and lines, showing high and stable productivity over the years of study. According to the study results the variety ‘Vivat’ showed a sufficiently high level of adaptability. The variety ‘Timofey’ and the lines ‘Parallelum 1979’, ‘Parallelum 1981’, ‘Pallidum 1972’ showed a sufficiently high level of stability.
© The Authors, published by EDP Sciences, 2020
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.