Parametric and Non-parametric Measures for Evaluati ng Yield Stability and Adaptability in Barley Doubled Haploid Lines

Abstract

J. Agr. Sci. Tech. (2016) Vol. 18: 789-803 789 Parametric and Non-parametric Measures for Evaluati ng Yield Stability and Adaptability in Barley Doubled Haploid Lines M. Khalili 1 , and A. Pour-Aboughadareh 2 ∗ ABSTRACT Multi-environment trials have a significant role in selecting the best cultivars to be used at different locations. The objectives of the prese nt study were to evaluate GE interactions for grain yield in barley doubled haploid lines, to determine their stability and general adaptability and to compare different parametric an d nonparametric stability and adaptability measures. For these purposes, 40 doubl ed haploid lines as well as two parental cultivars (Morex and Steptoe) were evaluat ed across eight variable environments (combinations of location-years-water regime) durin g the 2012-2013 and 2013-2014 growing seasons in Iran. The Additive Main effect a nd Multiplicative Interaction (AMMI) analysis revealed that environments, genotypes, and GE interaction as well as the first four Interaction Principal Component Axes (IPCA1 to 4) were significant, indicating differential responses of the lines to the environm ents and the need for stability and general adaptability analysis. The stability parame ters S i (3) , S i (6) , NP2 , NP3 , NP4 as well as Fox-rank (Top) were positively and significantly co rrelated with mean yield, suggesting these statistics can be used interchangeably as sui table parameters for selecting stable lines. The results of Principal Components Analysis (PCA) showed that the first two PCAs explained 92% of total variation for ranks of mean grain yield and parameters, and also clustered stability parameters on the basis of stat ic and dynamic concepts of stability. In general, the parametric and non-parametric stabilit y measures revealed that among tested doubled haploid lines at different environme nts, the line DH-30 followed by DH-29 and DH-3 were identified as lines with high grain y ields as well as the most stable for variable environments of semi-arid regions of Iran. Keywords : Dynamic and static stability, GE interaction, Pri ncipal Components Analysis (PCA).