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July 2018 Vol. 6 No.7

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El-Hashash EF
Agwa AM

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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


E. F. El-Hashash1* and A. M. Agwa2


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.







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