ABSTRACT
An experiment was conducted to examine the influencing characters on rice by using 64 rice genotypes, including four local landraces, four released cultivars and 56 mutant lines (M5) derived from these genotypes, with application of the genotype by trait (GT) biplot methodology. The first two principal components (PC1 and PC2) accounted for 46.6% of total variation in 64 genotypes. The polygon view of GT biplot suggested seven sections for 64 genotypes. The vertex G38 had good amounts of grain yield, panicle length, hundred grain weight, internodes length, plant height and fertility percentage. Generally based on vector view it was demonstrated that the selection of high grain yield would be performed via thousand grain weight, panicle weight and number of filled grain per panicle. These traits should be considered simultaneously as effective selection criteria evolving high yielding rice genotypes because of their large contribution to grain yield. The genotypes G2, G4 and G7 could be considered for the developing of desirable progenies in the selection strategy of rice improvement programs. This study revealed GT biplot can graphically display the interrelationships among traits. In conclusion, it is recommended the use of GGE biplot to identify superior genotypes for simultaneous improvement of several traits.
Key words:
Grain yield; polygon view; trait associations; rice; vector view
GY - Grain yield (kg ha-1); PH - plant height (cm); DF - day to flowering; NPP - number of panicle per plant; PL - panicle length (cm); SNP - number of spikelet per panicle; IL - internodes length (cm); FG - number of filled grains per panicle; UNG - number of unfilled grains per panicle; F - grain productivity (%); HGW - hundred grain weight (g), SL - grain length (mm); SW - grain width (mm); SL/W - grain length to width ratio; RY - ratton yield (kg ha-1); PW - panicle weight (g); AC - amylose content (%) and GT - gelatinization temperature (scale). The name of genotypes is presented in 
