Parametric vis-a-vis non parametric measures describing G x E interactions for salt salinity tolerant barley genotypes in multi-environment trials

Abstract

GxE interaction to know adaptability of 19 salt salinity tolerant barley genotypes was studied by parametric and non-parametric measures. Genotypes KB1516, RD2907 and RD2794 showed minimum environmental variance over different environments. Superiority index identified genotypes RD2907 and NDB1445 with lowest value accompanied with higher. Wricke’s measure exhibited lower values of DWRB168_,  DWRB165 and NDB1445. Higher values of GAI showed consistent performance of RD2907_, NDB1445 and RD2552. Non-parametric measures S_i⁽¹⁾, S_i⁽³⁾ and S_i⁽⁶⁾ the considered DWRB165 and DWRB168  as desirable genotypes. Thennarasu’s first measure NP_i⁽¹⁾ found DWRB168 and NDB1445 as desirable adaptable and KB1546, RD2907 and NDB1173 were unstable genotypes. Wricke’s parameter was positively correlated with NP_i^(1), NP_i⁽³⁾ and Kang. GAI had significant positive with P_i and Kang while negative with S_i(6), NP_i(2) & NP_i(4). Worth to mention the negative association of  P_i with S_i(6), NP_i^(2), NP_i^(4). Non parametric measures S_i ⁽³⁾ S_i ⁽⁶⁾ NP_i ⁽²⁾ & NP_i ⁽⁴⁾ clubbed together while Kang, W_i ², s²_{i ,}S_i ⁽¹⁾,S_i ^{(2) ,}NP_i ⁽¹⁾ & NP_i ⁽³⁾  joined in another cluster.  Left over parametric measures were grouped in two separate clusters i.e. (b_i, S²_xi ,CV_i),(Yield, GAI Pi) respectively.  Biplot analysis based on first two principal components showed three groups among the measures.