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- Title
GENOTYPE BY ENVIRONMENT INTERACTION AND STABILITY ANALYSIS FOR RICE GENOTYPES UNDER BORO CONDITION.
- Authors
BOSE, Lotan Kumar; JAMBHULKAR, Nitiprasad Namdeorao; PANDE, Kanailal
- Abstract
Genotype (G) x Environment (E) interaction of nine rice genotypes possessing cold tolerance at seedling stage tested over four environments was analyzed to identify stable high yielding genotypes suitable for boro environments. The genotypes were grown in a randomized complete block design with three replications. The genotype x environment (GxE) interaction was studied using different stability statistics viz. Additive Main effects and Multiplicative Interaction (AMMI), AMMI stability value (ASV), rank-sum (RS) and yield stability index (YSI). Combined analysis of variance shows that genotype, environment and GxE interaction are highly significant. This indicates possibility of selection of stable genotypes across the environments. The results of AMMI (additive main effect and multiplicative interaction) analysis indicated that the first two principal components (PC1-PC2) were highly significant (P<0.05). The partitioning of TSS (total sum of squares) exhibited that the genotype effect was a predominant source of variation followed by GxE interaction and environment. The genotype effect was nine times higher than that of the GxE interaction, suggesting the possible existence of different environment groups. The first two interaction principal component axes (IPCA) cumulatively explained 92 % of the total interaction effects. The study revealed that genotypes GEN6 and GEN4 were found to be stable based on all stability statistics. Grain yield (GY) is positively and significantly correlated with rank-sum (RS) and yield stability index (YSI). The above mentioned stability statistics could be useful for identification of stable high yielding genotypes and facilitates visual comparisons of high yielding genotype across the multi-environment
- Subjects
RICE genetics; GENOTYPE-environment interaction; FROST resistance of plants; SEEDLINGS; PLANT variation; PLANT genetics; PRINCIPAL components analysis
- Publication
Genetika (0534-0012), 2014, Vol 46, Issue 2, p521
- ISSN
0534-0012
- Publication type
Article
- DOI
10.2298/GENSR1402521B