Yield Stability of Sixteen Rice Genotypes in White Nile Sate, Sudan

Abstract

The objective of the present investigation was to analyze the
pattern of Genotype x Environment (G x E) interaction for grain yield of
sixteen rice genotypes using Additive Main effects And Multiplicative
Interaction (AMMI) model. Genotypes were grown at two locations (Ed-
duim and Kosti, White Nile State, Sudan) for two years. Main effects due
to environment (E), genotypes (G) and GxE interaction (GEI) were
significant (p<0.01), with highest variation (63.3%) accounted for by
environmental effects. The first Interaction Principal Component Axes
(IPCA 1) was significant (p<0.01) and contributed 72.4% of the total GEI.
The biplot was identified genotypes and testing environments that
exhibited major sources of GE interaction as well as those that were
stable. YUNLU 33 was identified as the best genotype (higher yielding
and stable)