Evaluating of some promising rice genotypes for grain yield stability using AMMI model

Abstract

Plant breeders are always faced with the difficulty of haven to develop genotypes that are not only high yielding but combined with stability across varied locations (environments). Stability and sensitivity estimate were investigated on grain yield of 13 lowland rice genotypes of which, 2 commercially released rice varieties (FARO 44 and FARO 52)were used as checks, for 4 years; 2013, 2014, 2015 and 2016. The experiments were laid out in a randomized complete block design in three replications. The Analysis of Variance for Additive Main Effect and Multiplicative Interaction (AMMI ANOVA)revealed that grain yield differed significantlyfor both genotypes and environment at P = P = <0.01 indicating that both the genotypes and the environment (years) of investigation responded differently. The partitioning of GGE through GGE biplot analysis showed that, principal component1 and principal component 2 accounted for 50.46% and 24.78% of GGE sum of squares, respectively, explaining75.24% of the total observable variations noticed. AMMI 2 biplot revealed that, genotype G11 (FAROX521-H137-1) was the most stable across the years investigated, indicating its consistency across the different environments. Hence, the genotype would be considered more adapted to wide ranges of environments than the rest genotypes.