TITLE

Biplot Analysis of Multi-Environment Trials for Identification of Winter Wheat Mega-environments in Iran

AUTHOR(S)
Mohammadi, Reza; Haghparast, Reza; Aghaee, Mostafa; Rostaee, Mozafar; Pourdad, Sayyied Saeid
PUB. DATE
July 2007
SOURCE
World Journal of Agricultural Sciences;Jul2007, Vol. 3 Issue 4, p475
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The objective of this study was to explore the effect of genotype and genotype x location interaction on the grain yield, data of 20 winter wheat genotypes selected from Iran/ICARDA joint project grown in six locations via GGL (genotype plus genotype x location) biplot methodology. The GGL biplot graphically displays G plus GL of a MET in a way that facilitates visual genotype evaluation and mega-environment identification. The GGL biplots clearly identified yearly winning genotypes and their winning niches. Collective analysis of the yearly biplots suggests four winter wheat mega-environments in Iran. The first mega-environment contained location Ardebil where genotypes 135U8.01 and Manning/Sdvl//Dogu88 were the winners; the second and third mega-environments contained locations Shirvan, with genotype Kvz/Tm71/3/Maya "s"//Bb/Inia/4/Sefid and Zanjan with 'Azar-2', being the winners. The locations Kermanshah, Maragheh and Kordestan made up the fourth mega-environment where genotypes Unknown-11 and 'Sardari' were the winners. The results of this study indicate the possibility of improving progress from selections under diverse location conditions by applying the GGL biplot methodology.
ACCESSION #
26797516

 

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