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Published online 2 March 2006
Published in Agron J 98:388-393 (2006)
DOI: 10.2134/agronj2004.0310
© 2006 American Society of Agronomy
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Right arrow Plant and Environment Interactions

Barley

Biplot Analysis of Genotype by Environment Interaction for Barley Yield in Iran

H. Dehghania,*, A. Ebadia and A. Yousefib

a Dep. of Plant Breeding, Faculty of Agriculture, Tarbiat Modares Univ., Tehran, Iran
b Seed and Plant Improvement Institute, Karaj, Iran

* Corresponding author (dehghanr{at}modares.ac.ir)

Received for publication December 17, 2004. Cultivar evaluation and mega-environment identification are the most important objectives of multienvironment trials (MET). The objective of this study was to explore the effect of genotype and genotype x environment interaction on the grain yield of 19 barley (Hordeum vulgare L.) genotypes via GGE (genotype plus genotype x environment) biplot methodology. Experiments were conducted using a randomized complete block design with four replications for 3 yr at 10 locations. The biplot analysis identified three barley mega-environments in Iran. The first mega-environment contained locations Khoy, Mashhad, Miandoab, Karaj, and Nyshabour, where genotype Bahtim7-D1/79-w40762 was the winner; the second mega-environment contained locations Tabriz, Hamedan, Ardabil, and Arak, where genotype Walfajre/W1-2291 was the winner. The location of Zanjan made up the other mega-environment, with 73-M4-30 as the winner. Genotypes Bahtim7-D1/79-w40762 and Walfajre/W1-2291 had the highest mean yield and genotype K-201/3-2 had the poorest mean yield. The estimated relative yield of genotypes at Karaj station shows that genotype Bahtim7-D1/79-w40762 had the highest yield and genotype Owb70173-2H-OH had the poorest. The performances of genotypes Star/Alger and K-201/3-2 were highly variable, whereas genotypes Cossak/Gerbel/Harmal and Toji"S"/Robur were highly stable. The results of this study indicate the possibility of improving progress from selections under diverse location conditions by applying the GGL (genotype plus genotype x location) biplot methodology.

Abbreviations: ARAK, Arak Station • ARDA, Ardabil Station • E, environment main effect • G, genotype main effect • GE, genotype x environment interaction • GGE, genotype plus genotype x environment interaction • GGL, genotype plus genotype x location interaction • HAMA, Hamedan Station • KARA, Karaj Station • KHOY, Khoy Station • L, location main effect • MASH, Mashhad Station • MET, multienvironment trials • MIAN, Miandoab Station • NYSH, Nyshabour Station • TABR, Tabriz Station • Y, year main effect • ZANJ, Zanjan Station




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