Rahmatollah KARIMIZADEH, Ali ASGHARI, Omid SOFALIAN, Rahim CHINIPARDAZ, Abdolali GHAFFARI, Kamal SHAHBAZI, Tahmasb HOSSEINPOUR, Hassan GHOJOG, Mohammad ARMION

Use of Principal Coordinate Analysis for Measuring GE Interactions in Rain-Fed Durum Wheat Genotypes

Genotype × environment interactions complicate selection of superior genotypes for narrow and wide adaptation. Multienvironment yield trials of twenty durum wheat genotypes were conducted at fie locations of Iran (Gachsaran, Gonbad,Moghan, Ilam and Khorram abad) over four years (2009-2013). Combined ANOVA of yield data of the twenty environments(year/location combined) revealed highly signifiant diffrences among genotypes and environments as well as signifiantgenotype-environment interaction indicated diffrential performance of genotypes over test environments. The GEinteraction was examined using multivariate analysis technique as principal coordinate analysis (PCOA). According togrand means and total mean yield, test environments were grouped into two main groups as high mean yield (H) and lowmean yield (L). There were eleven H test environments and nine L test environments which analyzed in the sequentialcycles. For each cycle, both scatter point diagram and minimum spanning tree plot were drawn. The identifid most stablegenotypes with dynamic stability concept and based on the minimum spanning tree plots and centroid distances were G12(3342 kg ha-1), G10 (3470.3 kg ha-1), G5 (3203.0 kg ha-1), and G1 (3263.5 kg ha-1), and therefore could be recommended forunfavorable or poor conditions. Genotypes G10 (3470.3 kg ha-1) and G9 (3404.2 kg ha-1) were located several times in thevertex positions of high cycles according to the principal coordinates analysis (PCOA) and therefore could be recommendedfor favorable or rich conditions. Finally, the results of principal coordinates analysis in general confimed the breeding valueof the genotypes, obtained on the basis of the yield stability evaluation.

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