Non parametric measures to estimate GxE interaction of dual purpose barley genotypes for grain yield under multi-location trials

GxE interaction of seventeen dual purpose barley genotypes evaluated at ten major barley locations of the country by non parametric methods. Non parametric measures had been well established and expressed ad-vantages over their counter parts i.e. parametric measures. Simple descriptive measures based on the ranks of gen-otypes i.e. Mean of ranks (MR) pointed towards RD2925 and BH1008 and standard deviation of ranks (SD) for KB1401 and UPB1054 whereas Coefficient of variation (CV) for JB322 and RD2925 as stable genotypes. Nonpara-metric measures based on original values (Si1, Si2, Si3, Si4, Si5, Si6, Si7) indicated the stable performance of NDB1650, JB322 and UPB1054 while UPB1053, RD2715, RD2927 and RD2035 were observed of unstable nature. CSi1, CSi2, CSi3, CSi4, CSi5, CSi6 and CSi7 measures based on the ranks of corrected grain yield identified JB322, RD2552, RD2925 and NDB1650 as stable genotypes. Spearman’s rank correlation established highly significant positive correlation of yield with SD (0.67), Si1(0.65), Si2(0.59), Si5(0.68), Si7(0.67) whereas negative association observed for CMR (Mean of corrected ranks) (-0.62), CMed (Median of corrected ranks) (-0.60). NPi(2) expressed negative correlation with CV(-0.32), Si6 (-0.30), CMR(-0.34) and CMed(-0.48). More over NPi(3) maintained negative correlation with most of the measures though the magnitude was of low magnitude

G x E evaluation for feed barley genotypes evaluated in country by AMMI analysis

AMMI analysis of feed barley genotypes exhibited highly significant effects of environments, genotypes and interactions for both the years. The major portion of the total variance was described by the environmental effects up to 45.6% and 42.3% in respective years. The genotypes effects contributed marginally as of only 8.6% and 6.9% of total variation. The significant interaction effects were partitioned into IPCA1, IPCA2 , IPCA3 and IPCA4; which explained upto 42.4, 18.3, 9.7 and 8.1% of the first year and 32.2, 20.3, 15.6 and 10.5% for second year. The cumulative effect of first two interaction principal components comes out to 60.7% and 52.3% respectively. Maximum genotype yield during study period varied from 49.8 to 48 whereas the lowest yield ranged from 37 to 36.4 q/ha. AMMI stability index identified genotypes G9(BH 972), G15(JB 274) for former and G23(DWRB 109) & G2(KB 1205) for latter year. AMMI distance marked G15(JB 274) & G7(NDB 1561) for first and genotypes G26(UPB 1034) & G23(DWRB 109) for the second year. Desirable genotypes for selection would be G11(PL 871), G27(PL 872) and G23(DWRB 109), G20(BH 946) for respective years a per the GSI score. Genotypes with IPCA-1 scores close to zero identified G1(PL 751), G9(BH 972) and G27(PL 872 ) for first year and G5(RD 2786), G4(NDB 1554) and G24 (UPB 1036) for second year would have wider adaptation to the tested environments as per AMMI graphical plots