ESTIMATION GENOTYPIC ENVIRONMENTAL INTERACTION BY USING GGE BI-PLOT ANALYSIS OF COTTON GENOTYPES (Gossypium hersutum L)

Abstract

Seven cotton genotypes were grown in a different environmental conditions (as a combination among plant densities: 15, 20, and 25 cm under salt and non salt stress irrigation) to estimate genetic behavior in different environments of cotton genotypes (Ceebro, W888, Pac-cot189, Lashata, Cocker310, Montana, and Ik259).Analysis of variance for the interaction environments with the genotypes according to Randomized Completely Block Design with three replications were used, furthermore GGE biplot analysis for the seed cotton yield. Results Showed: Environments affected high significant in seed cotton yield for studied genotypes. Genotypic and genotypic environmental interaction contribute of 14.7 and 32.2% of variation respectively. PC1 and PC2 interpreted 53.9 and 26.5 % respectively of differences in GGE variances.IK259 Genotype the most productive and stable than others for high PC1 and low absolute value of PC2.E6 environment correlated significant and positive with other environments that means the effect of salt water stress in a wide distance among plants (25cm). Better performance of IK259 genotype was under un salt stress conditions in narrow distances among plants(15 cm). While Pac-cot genotype was favorable in most salt stress conditions. Consequently IK259 and Pac-cot189 genotypes are productive and desirable in studied environments