|

July 2018 Vol. 6 No.7
Other viewing option
Abstract
• Full
text
•Reprint
(PDF) (669 KB)
Search Pubmed for articles by:
El-Hashash
EF
Agwa
AM
Other links:
PubMed Citation
Related articles in PubMed
|
|
Merit Research Journal of Agricultural Science and Soil
Science (ISSN: 2350-2274) Vol. 6(7) pp. 098-111,
July, 2018
Copyright © 2018 Merit Research Journals |
Original Research Article
Comparison of parametric stability statistics for grain yield in
barley under different drought stress severities |
|
|
1Department
of Agronomy, Faculty of Agriculture, Al-Azhar University, Cairo,
Egypt.
2Barley Research Department, Field Crops Research
Institute, Agriculture Research Center, Egypt.
*Corresponding Author’s E-mail: dressamelhashash@yahoo.com
Accepted June 11, 2018 |
|
|
A primary objective of most breeding programs is determining
high-yielding and stable genotypes in barley. Genotype by
environment interaction (GEI) is a major factor in the
development of high and stable yield barley genotypes under
drought conditions. Twenty four parametric stability statistics
were used to determine yield performance and stability
simultaneously as well as compared those statistics of seventeen
barley genotypes across non-stress, moderate and severe stress
conditions during 2015/2016 and 2016/2017 growing seasons (six
environments) in Egypt. The trials were laid down in a
randomized complete block design (RCBD) with three replications.
The analysis of variance (ANOVA) across environments indicated
that both environments and GEI influenced highly significant the
genotypes performance for yield. Based on a Spearman’s rank
correlation and cluster analysis, the parametric stability
statistics can be classified into five clusters that
corresponded to different dynamic or (agronomic) and static
(biological) concepts of stability. The clusters I and II
related to the dynamic concept and strongly correlated with mean
grain yield of stability. This group was more useful in
agronomic goals in comparison with other methods. The cluster
III and IV were not correlated with mean grain yield and
represents the concept of static stability, which were
influenced simultaneously by both yield and stability. The
cluster V was not correlated with mean yield and most of the
parametric stability statistics; hence they can be excluded as
suitable stability indices. The parameteric stability statistics
in each the lusters I, II, III and IV were positively and
significantly correlated with each other, thus, any parameter of
them can be considered as appropriate alternatives for each
other. According to the concept of stability and corresponding
to most parametric stability statistics, the genotypes G7, G6,
G10 and G5 were identified as the most stable genotypes with
high yielding performance and a high degree of stability,
whereas, the genotypes G17 and G16 with lowest yielding
performance considered to be unstable. In conclusion, both yield
and stability should be considered simultaneously to exploit the
useful effect of GEI and to make selection of genotypes more
precise and refined. Therefore, the parameteric stability
statistics of Pi, Di, GAI, Ii, CVi, IPCA1, SF and TF
were more useful for simultaneously selecting for high yield and
stable, and more convenient than other parameteric stability
statistics. The genotype G7 was stable coupled with high yield
and it is released for use in drought conditions of Egypt.
Keywords: Parametric stability statistics–drought
stress–grain yield–barley.
|
|