Investigation of genotypes by environment interaction using gge biplot analysis in barley

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2016

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Scibulcom Ltd.

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Abstract

The aim of this study was to examine the effects of genotype × environment interaction (GEI) on grain yield, components, and quality characteristics using genotype main effect (G) and genotype × environment interaction by GGE biplot analysis. We observed significant differences among genotypes in grain yield, yield components, and quality traits; the relationships between yield components were used to identify three groups. The GGE biplot indicated that E4 (Diyarbakir 2009/10), E5 (Hani 2010/11) and E6 (Diyarbakir 2010/11) were ideal environments for all traits, and E4 was a highly efficient model for grain yield. The biplot analysis showed that genotype 1 (G1) was the best genotype in terms of yield and other components, and G11 was efficient for quality parameters only; thus, these two genotypes can be recommended to release in barley breeding program. Consequently, the study showed that biplot analyses is a good analysis method and will be used to make specific selection for multi-factorial studies and specific conditions. © 2016, Scibulcom Ltd. All rights reserved.

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Keywords

Barley, Genotypes, Multi-environments, Quality parameters, Yield

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Scopus Q

Q4

Source

Oxidation Communications

Volume

39

Issue

3-I

Start Page

2433

End Page

2446
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