Estimation of spring soft wheat varieties by yield and adaptive properties

The evaluation of varieties of spring soft wheat Bazhenka, Vyatchanka, Svecha, Iren’, Margarita, Simbirzit, and Priokskaya on yield and parameters of adaptive properties, including ecological plasticity, stability and homeostaticity was carried out. A significant influence of environmental factors o...

Full description

Bibliographic Details
Main Authors: L. V. Volkova, V. M. Gireva
Format: Article
Language:Russian
Published: Federal Agricultural Research Center of the North-East named N.V. Rudnitsky 2017-08-01
Series:Аграрная наука Евро-Северо-Востока
Subjects:
Online Access:https://www.agronauka-sv.ru/jour/article/view/140
_version_ 1797290369327562752
author L. V. Volkova
V. M. Gireva
author_facet L. V. Volkova
V. M. Gireva
author_sort L. V. Volkova
collection DOAJ
description The evaluation of varieties of spring soft wheat Bazhenka, Vyatchanka, Svecha, Iren’, Margarita, Simbirzit, and Priokskaya on yield and parameters of adaptive properties, including ecological plasticity, stability and homeostaticity was carried out. A significant influence of environmental factors on the formation of productivity is shown. Average yields of varieties for 2014...2016 in five ecological points of the Kirov region was 3.59 t/ha and varied depending on the test point from 2.61 to 4.18 t/ha (the share of influence of the factor is 38.7%), the conditions of the year - from 3.05 to 4.04 t/ha (18.9%), the genotype - from 3.29 to 3.92 t/ha (6.4%). With regression analysis varieties of intensive type (Bazhenka, Margarita, Simbirtsit) and varieties with a weak response to changes in environmental conditions (Svecha, Iren) have been identified. A high level of average yields was distinguished by early varieties Vyatchanka and middle-ripening varieties Margarita and Simbirtsit. High degree of homeostatics was in variety Priokskaya. The analysis of nine parameters of adaptive properties calculated by different methods determined the high consistency between the coefficient of variation, the plasticity and stability characteristics by S.A. Eberhart and V.A. Russell, and the multiplicative coefficient. The coefficient of regression, in turn, significantly correlated with the yield, i.e. varieties with high level of the trait were characterized as more plastic. The parameters of Stability Index, homeostaticity, and the level of variety stability bear similar information and can be recommended for assessing homeostasis as a property to provide high and stable yield in different media.
first_indexed 2024-03-07T19:21:26Z
format Article
id doaj.art-dfe39182e05d448386fe917f9f19b0df
institution Directory Open Access Journal
issn 2072-9081
2500-1396
language Russian
last_indexed 2024-03-07T19:21:26Z
publishDate 2017-08-01
publisher Federal Agricultural Research Center of the North-East named N.V. Rudnitsky
record_format Article
series Аграрная наука Евро-Северо-Востока
spelling doaj.art-dfe39182e05d448386fe917f9f19b0df2024-02-29T11:31:09ZrusFederal Agricultural Research Center of the North-East named N.V. RudnitskyАграрная наука Евро-Северо-Востока2072-90812500-13962017-08-01041923139Estimation of spring soft wheat varieties by yield and adaptive propertiesL. V. Volkova0V. M. Gireva1North-east Agricultural Research Institutebranch State Commission on Kirov regionThe evaluation of varieties of spring soft wheat Bazhenka, Vyatchanka, Svecha, Iren’, Margarita, Simbirzit, and Priokskaya on yield and parameters of adaptive properties, including ecological plasticity, stability and homeostaticity was carried out. A significant influence of environmental factors on the formation of productivity is shown. Average yields of varieties for 2014...2016 in five ecological points of the Kirov region was 3.59 t/ha and varied depending on the test point from 2.61 to 4.18 t/ha (the share of influence of the factor is 38.7%), the conditions of the year - from 3.05 to 4.04 t/ha (18.9%), the genotype - from 3.29 to 3.92 t/ha (6.4%). With regression analysis varieties of intensive type (Bazhenka, Margarita, Simbirtsit) and varieties with a weak response to changes in environmental conditions (Svecha, Iren) have been identified. A high level of average yields was distinguished by early varieties Vyatchanka and middle-ripening varieties Margarita and Simbirtsit. High degree of homeostatics was in variety Priokskaya. The analysis of nine parameters of adaptive properties calculated by different methods determined the high consistency between the coefficient of variation, the plasticity and stability characteristics by S.A. Eberhart and V.A. Russell, and the multiplicative coefficient. The coefficient of regression, in turn, significantly correlated with the yield, i.e. varieties with high level of the trait were characterized as more plastic. The parameters of Stability Index, homeostaticity, and the level of variety stability bear similar information and can be recommended for assessing homeostasis as a property to provide high and stable yield in different media.https://www.agronauka-sv.ru/jour/article/view/140spring soft wheatvarietyproductivityadaptabilityplasticitystability
spellingShingle L. V. Volkova
V. M. Gireva
Estimation of spring soft wheat varieties by yield and adaptive properties
Аграрная наука Евро-Северо-Востока
spring soft wheat
variety
productivity
adaptability
plasticity
stability
title Estimation of spring soft wheat varieties by yield and adaptive properties
title_full Estimation of spring soft wheat varieties by yield and adaptive properties
title_fullStr Estimation of spring soft wheat varieties by yield and adaptive properties
title_full_unstemmed Estimation of spring soft wheat varieties by yield and adaptive properties
title_short Estimation of spring soft wheat varieties by yield and adaptive properties
title_sort estimation of spring soft wheat varieties by yield and adaptive properties
topic spring soft wheat
variety
productivity
adaptability
plasticity
stability
url https://www.agronauka-sv.ru/jour/article/view/140
work_keys_str_mv AT lvvolkova estimationofspringsoftwheatvarietiesbyyieldandadaptiveproperties
AT vmgireva estimationofspringsoftwheatvarietiesbyyieldandadaptiveproperties