Document Type : Research Paper
Authors
1
Kohgiloyeh and Boyerahmad Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gachsaran, Iran
2
Lorestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Khorramabad, Iran
3
Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gonbad, Iran
4
Ardabil Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Moghan, Iran
5
Ilam Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Ilam, IRAN.
6
Department of Agronomy and Plant Breeding, Rasht Branch, Islamic Azad University, Rasht, Iran.
Abstract
Several methods have been proposed to analyze the interaction of genotype in the environment. In this research 16 selected durum wheat lines with two check cultivars (Dehdasht, Seimareh) were evaluated in randomized complete block design experiment with three replications in four regions of Iran including Gachsaran, Gonbad, Khoramabad and Moghan during three cropping seasons 2013-2016. Combined ANOVA indicated significant effect of year, location, genotype, year×location and genotype×year×location interactions at 1% probability level on durum wheat grain yield. Screet test indicated the first four principal components had high contribution of GEI, so that the PC1 and PC2 was explained 26.60% and 15.33% of GEI variation. Mosaic plot revealed that 20.76% of total sum of squares is illustrated by genotype sum of squares and 79.24% by genotype×environment interaction sum of squares. Heat-map plot was also indicated G1, G3, G6, G15 and G16 had high grain yield in many of environments. The polygon view of biplot indicated G10,G5,G6,G7 and G4 were as stable genotypes to the tested environments according to the closest distance to biplot origin, while G8 and G12 was not adaptable to any environments. The simultaneous studying of the effect of genotype and GE interaction by average tester coordinate view of biplot illustrated that G15, G13 and G6, in addition to high grain yield, were also more stable than other genotypes. Ideal genotype view of biplot indicated G15, G13, G16, G2 and G6 were as most desirable genotypes. In conclusion, G15, G13, G3 and G6 with high mean yield and stability performance can be used in selection/ recommendation process of cultivar.
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