Original Research Article
Year: 2017 | Month: December | Volume: 4 | Issue: 12 | Pages: 7-12
GGE Biplot Analysis of Yield Stability in Multi -Season Trials of Early Matured Rice (O. Sativa) Genotypes in Rain Fed Lowland Ecosystem
Hailemariam Solomon1, Taddesse Lakew2, Abebaw Dessie2
1Assosa Agricultural Research Center, Ethiopia.
2Fogera National Rice Research and Training Centre Ethiopia.
Corresponding Author: Hailemariam Solomon
ABSTRACT
The study was conducted in western part of Ethiopia at Assosa with the objective to identify better performance and stable rice genotypes under rainfed lowland rice ecosystem. Eighteen early matured rice genotypes were tested for three consecutive years at Assosa agricultural research centre. The experiment was conducted in randomized complete block design with three replications. Combined mean analysis was computed after using Anderson-Darling normality test and Levene homogene¬ity test. Genotype and Genotype by environment interaction (GGE) biplot analysis were computed to evaluate stability and adaptability of the grain yield of rice genotypes. The result of ANOVA indicated that the combined mean grain yield ranged from 3319 kg ha-1 for G13 (STEJAREE 45) to 6711 kg ha-1 for G2 (YUNJING 23). The rice genotypes that were evaluated in the second and third seasons had below the mean average grain yield. However, the highest grain yield recorded in season one with mean yield of 5501 kg ha-1. GGE biplot analysis was also computed to identify performance and stability of genotypes and hence a total of 87.93 % variation was showed for the tested rice genotypes. The research finding indicated that the most responsive of corner genotypes were genotype one, genotype eleven, genotype two, genotype fourteen and genotype thirteen. Similarly, genotype fourteen and genotype one were highly unstable whereas genotype six and genotype thirteen including invisible genotypes were highly stable and had poor grain yield performance. In terms of stability and performance genotype two was the highest followed by genotype ten. GGE biplot analysis was the most powerful method to analyze, visualize and interpret the genotype and environment interaction. It was also a convenient procedure to genotypes stability studies and environments that has to be applied in plant breeding program.
Key words: Ecosystem, GGE biplot, Grain yield, Performance and Stability
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