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AMMI Analysis of Tuber Yield of Potato Genotypes Grown in Bale, Southeastern Ethiopia | OMICS International | Abstract

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Research Article

AMMI Analysis of Tuber Yield of Potato Genotypes Grown in Bale, Southeastern Ethiopia

Miheretu Fufa*
Oromia Agricultural Reswearch Institute, Sinana Agricultural Research Center; Horticulture and Spice Technology Generation Team, Ethiopia
Corresponding Author : Miheretu Fufa
Oromia Agricultural Research Institute
Sinana Agricultural Research Center
Horticulture and Spice Technology Generation Team
PO. Box 208, Bale Robe, Ethiopia
Tel: 251116187346
E-mail: miheretufufag@gmail.com
Received August 19, 2013; Accepted November 22, 2013; Published December 06, 2013
Citation: Fufa M (2013) AMMI Analysis of Tuber Yield of Potato Genotypes Grown in Bale, Southeastern Ethiopia. Adv Crop Sci Tech 1:120. doi: 10.4172/2329-8863.1000120
Copyright: © 2013 Fufa M. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Abstract

The problem of genotype by environment interactions that often complicates the interpretation of multi-locations trail analysis making the prediction of genotype performance difficult can be eased with the adoption of the Additive Main Effects and Multiplication Interaction (AMMI) model analysis. The AMMI model was used to evaluate tuber yield stability of twelve potato (Solanum tuberosum L.) genotypes in randomized complete block design with three replications at Sinana, Shallo and Dinsho during 2009, 2010 and 2011.
The objectives were to estimate the nature and magnitude of GEI for tuber yield and to identify stable potato genotypes for general adaptation and unstable genotypes for specific adaptation. Combined analysis of variance showed highly significant difference between the genotypes, locations and GEI. Proportion of variation captured by genotypes, locations and GEI is 13.65, 51.64 and 34.81, respectively indicating more effects of locations as compared to genotypes.

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