Yield Stability and Agronomic Performance of Rain Fed Upland Rice Genotypes by Using GGE Bi-Plot and AMMI in North West Ethiopia
Journal Title: International Journal of Research and Review - Year 2018, Vol 5, Issue 9
Abstract
The study was conducted at Fogera, Pawe, Assosa, Gondar and Mai-tsebri in Ethiopia during 2016-2017 with the objective of identifying high yielding, major disease resistance and stable rice varieties for rain fed upland ecosystem. A total of seventeen rain fed upland genotypes including one check were used for the study. The trial was laid out in randomized complete block design with three replication with a plot sized of 7.5 m2 with six rows in each location. Data were analyzed using combined analysis of variance, GGE bi-plot and AMMI. The combined analysis of variance for grain yield, days to maturity, days to heading, panicle length and filled grain per panicle showed significant difference (P≤0.01). G7 and G4 showed significant difference than the standard check on grain yield and better resistance to blast disease and gave grain yield advantage of 11 % and 10 %, respectively. The three way interaction of genotypes x environment x years were revealed significant variation (P≤0.01) for yield and other agronomic characters. The GGE bi-plot analysis showed that PCA 1 and PCA 2 described for 51.63 % and 27.31% of GGE sum of squares, respectively for grain yield, explaining a total of 78.95 % variation. In AMMI bi-plot, environments E2, E3 and E4 exerted strong interaction forces while the rest (E1 and E5) did less. Based on GGE bi-plot analysis result, Genotype (G4) and genotype (G7) were recommended for national variety releasing committee to release for future production by considering their high yielding and stability.
Authors and Affiliations
Abebaw Dessie
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