Comparative performance of parametric and non-parametric measures for analyzing G x E interactions of grain yield for dual Purpose Barley genotypes

Abstract

Present study aimed to compare parametric with non parametric measures for the adaptability bevaiour of fifteen dual purpose barley genotypes evaluated at ten locations under coordinated system of Barley network.  Regression coefficients less than one attained by five genotypes while more than one by the six genotypes. Lower environmental variance exhibited by G14 followed by G03 and G15 whereas higher by G11 G10 and G5. Higher values of W²_i by G11, G10, and G5 pointed out higher contribution to G x E interaction. Adaptable genotype would be G5, G7 and G8 as claimed by lower P_i values. GAI identified G20 genotype, followed by G7, G5, and G6, better in terms of yield and adaptability. S_i ⁽¹⁾ and S_i ⁽²⁾ measures pointed G14 & G8 while S_i ⁽³⁾ and S_i⁽⁶⁾ selected G14 followed by G4 and G10. NP_i⁽¹⁾, NP_i⁽²⁾ and NP_i⁽³⁾ considered G1 and G14 as stable genotypes whereas as per NP_i⁽⁴⁾ G5 & G6 were of unstable types. Grain yield expressed significant negative relation with S_i⁽⁶⁾, NP_i⁽²⁾, NP_i⁽³⁾,  NP_i⁽⁴⁾  while positive with Kang sum rank. b_i was negatively correlated with W_i² , S²_xi , CV_i, and s²_i. Superiority index expressed significant negative association with NP_i⁽²⁾, NP_i⁽³⁾,  NP_i⁽⁴⁾  and direct positive relation with S_i ⁽²⁾, NP_i ⁽¹⁾. Biplot analysis based on PCA1 versus PCA2 clustered measures in 3 major groups. Larger clubbed NPi ⁽¹⁾, S_i⁽¹⁾, S_i⁽²⁾, W_i², s²_i, S²_xi  along with Kang whereas separate group comprised of  yield, with GAI & P_i.