scholarly journals Genotype X Environment Interaction by AMMI and GGE-Biplot Stability Analysis in Grain Yield for Soybean [(Glycine Max L.) Merrill] in Ethiopia

2003 ◽  
Vol 3 (2) ◽  
pp. 204-214 ◽  
Author(s):  
P.K. Paul . ◽  
M.S.E. Alam . ◽  
L. Rahman . ◽  
L. Hassan . ◽  
S.K. Paul .

2014 ◽  
Vol 8 ◽  
pp. 14-17 ◽  
Author(s):  
Hari K. Upreti ◽  
Sudarshan Bista ◽  
Surya N. Sah ◽  
Ramesh Dhakal

Genotype x Environment interaction limits the effectiveness of selection when selection is based only on mean yield. This G × E interaction was studied for grain yield in 7 genotypes  of mid-hill rice in five different environments across the Nepal. Significant difference was observed among genotype (G), environment (E) and interaction (G × E) but could not identify the stable high yielding genotypes for diverse environments. Therefore, stability parameters were calculated and analyzed. On the basis of stability parameters, two genotypes, NR 10414, NR 10492 and NR 10515 were found to be most stable over different environments. NR 10353 was identified as suitable genotypes with high grain yield for favorable environment.Nepal Agric. Res. J. Vol. 8, 2007, pp. 14-17DOI: http://dx.doi.org/10.3126/narj.v8i0.11565


2015 ◽  
Vol 21 ◽  
pp. 41-48
Author(s):  
Gebremedhin Welu

The objective of this experiment was to estimate the magnitude of genotype X environment interaction on grain yield and yield related traits. Twelve varieties of food barley were included in the study planted in randomized complete block design with three replications. The ANOVA of combined and individual location revealed significant differences among the food barley genotypes for grain yield and other traits. The results of ANOVA for grain yield showed highly significant (p≤0.01) differences among genotypes evaluated for grain yield at Maychew and significant (p≤0.05) differences in Korem, Alage and Mugulat. The ANOVA over locations showed a highly significant (p≤0.01) variation for the genotype effect, environment effects, genotype X environment interaction (GEI) effect and significant (p≤0.05) variation for GEI effect of yield and for most of the yield related traits of food barley genotypes. Haftysene, Yidogit, Estayish and Basso were the genotypes with relatively high mean grain yield across all locations and they are highly performing genotypes to the area. Among locations, the highest mean grain yield was recorded at Korem and it was a suited environment to all the genotypes whereas Mugulat is unfavoured one. ECOPRINT 21: 41-48, 2014DOI: http://dx.doi.org/10.3126/eco.v21i0.11903


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