ANALYSIS OF GENOTYPE BY ENVIRONMENT INTERACTION DATA USING AMMI BIPLOT

M. A. Aljumaily, J.

	ANALYSIS OF GENOTYPE BY ENVIRONMENT INTERACTION DATA USING AMMI BIPLOT
The Iraqi Journal of Agricultural Science
Article 1, Volume 45, Issue 2, 2014, Pages 125-132
Author
J. M. A. Aljumaily
Abstract
The additive main effect and multiplicative interaction (AMMI) analysis was performed for seed yield of 14 genotypes of soybean (Glycine max L.) grown at 2 locations (Baghdad and Saladin) in Iraq over 2 successive seasons 2008 and 2009 combined to give four environments to determine yield stability and performance of genotypes. The experiments were carried out using a randomized complete block design with three replicates in each experiment.. The Seed yield data were adopted to test AMMI Biplot. AMMI Biplot grouped the additive components to produce single model of genotype and environments main effects and multiplicative components of GEI effects. The first three principal components interpreted 68.75, 25.00 and 12.50% of total GEISS. Biplot analysis showed that G1, G2, G8, and G14 and E1, E3 and E4 had the greatest effect in GE interaction. G1 and G2 possess special adaptation for E1 and E3. While G8 had special adaptation for E3 and E4 also G14 was adapted over E2. Results pointed to AMMI model adjusted data for main component and effect of interaction 98%. Thus, it was justified to use this model. Genotypes 6, 7, 10, 11 and 12 could be recommended as the most stable genotypes, due to general adaptability.
Keywords
AMMI biplot analysis; GEI; Adaptation; phenotypic stability; AMMI Biplot

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