GENOTYPE × ENVIRONMENT INTERACTION USING AMMI AND GGE BIPLOT ANALYSIS IN BARLEY (Hordeum vulgare L.)
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Date
2019-07-20
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CSKHPKV. Palampur
Abstract
The present investigation was carried out for G×E interaction and stability analysis of twenty
one barley genotypes for eleven traits at five different locations during rabi 2017-18. The
pooled analysis of variance across environments exhibited significant mean sum of square
due to genotypes and environments indicating sufficient variability among the genotypes and
environments for all the traits studied. Genotype × Environment interaction and stability
analysis following Additive Main Effect and Multiplicative Interaction (AMMI) model also
exhibited significant variance due to genotypes, environments and G×E interaction indicating
presence of sufficient variability among the genotypes and environments. Environments
explained the greater proportion of total variation for most of the characters followed by
genotypes and genotype × environment interaction (GEI). The mean squares for the IPCAI
and IPCAII cumulatively contributed more than 60 per cent of the total G×E interaction for
all the traits, highest being 97.94 per cent for peduncle length (cm) and lowest for harvest
index (61.24%). The „which won where‟ pattern showed that no single genotype was found
stable as well as high yielding for more than one trait. Genotypes G3 (BHS 467) and G16
(VLB 158) showed high mean performance and stability for biological and grain yield per
plant across environments. Genotype G20 (HBL 113) was the winner for the trait number of
effective tillers per plant across all environments. Genotype G3 (BHS 467) was also the most
stable genotype for days to 50% flowering, days to 75% maturity and biological yield per
plant, whereas genotype G6 (HBL 793) showed high mean and stability for plant height,
number of grains per spike and harvest index. Genotype G8 (HBL 812) outperformed all the
genotypes for four traits in Bajaura (no. of grains/spike, spike length, biological yield/plant
and grain yield/plant and); for spike length in Katrain and for three traits (no. of grains/spike,
biological yield/plant and grain yield/plant) in Kangra, Berthin and Malan. Hence, HBL 812
was the winner genotype for grain yield in four environments.