8th INTERNATIONAL WHEAT CONFERENCE

gge-BIPLoT ANALySIS of RAIN-fed duRum WheAT
muLTI-eNVIRoNmeNTS TRIALS IN IRAN
Reza Mohammadi 1 *, Ahmed Amri 2 ,
Davood Sadeghzadeh 3 , Mohammad Armion 4 ,
Malak Massoud Ahmadi 5 , Reza Haghparast 1 ,
Salvatore Ceccarelli 2
1 Dryland Agricultural Research Institute (DARI), P O Box 67145-1164, Kermanshah, Iran.
2 International Center for Agricultural Research in the Dry Areas (ICARDA), Aleppo, Syria.
3 Dryland Agricultural Research Institute (DARI), Maragheh, Iran.
4 Center of Agricultural Research and Natural Resource, Ilam, Iran.
5 Center of Agricultural Research and Natural Resource, Shirvan, North Khorasan, Iran.
E-mail Address of presenting author: rmohammadi@in.com
Genotype evaluation and mega-environment identification are among the most important
objectives of multi-environment trials (MET). Genotype plus genotype-by-environment
interaction (GGE) biplot analysis was applied on grain yield data of 20 durum
wheat genotypes grown in 12 rain-fed environments (combination of four locations: Kermanshah,
Ilam, Maragheh and Shirvan), representative of major durum growing areas
of Iran, across 2005-2007 cropping seasons to graphic analysis of rain-fed durum wheat
MET data. The combined analysis of variance showed that the variation among environments
was the most important source of yield variability, and accounted for 76% of
total variation. The magnitude of GE interaction than genotype (G) effect was about 10
times, and suggesting the existence of two durum mega-environments in Iran. The first
mega-environment consisted of the environments included in Maragheh and Shirvan
(cold locations) and Kermanshah (moderate cold location) locations, where “Sardari”
cultivar was the winner; the second mega-environment comprised Ilam (warm location)
and Kermanshah locations with the recommended breeding lines G16 (Gcn//Stj/Mrb3),
G17 (Ch1/Brach//Mra-i) and G18 (Lgt3/4/Bcr/3/Ch1//Gta/Stk). The results also indicating
genotype G9 (71-7-3-5) with the highest stability was ranked as a second genotype in
yield performance and is a good candidate for releasing in rain-fed areas of Iran. The discriminating
power vs. representativeness view of the GGE biplot identified the Kermanshah
location had the least discriminating ability but was more representative; suggesting
it is possible to testing genotypes for warm and cold locations in Kermanshah location in
the regional yield trials of durum breeding and selection program.
Keywords: GGE biplot, mega-environment, discriminating ability, representative, durum
wheat
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