Document Type : Research Paper
Authors
1
Associate Professor, Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.
2
Assistant of professor Crop and Horticultural Science Research Department
3
Associate Professor, West Azarbaijan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Urmia, Iran
4
Assistant Professor, Ardabil Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Ardabil, Iran
5
Assistant Professor, Hamedan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Hamedan, Iran.
6
Assistant Professor, Razavi Khorasan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Mashhad, Iran
7
Researcher, Gazvin Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gazvin, Iran
8
Researcher ,Razavi Khorasan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Mashhad, Iran
9
Researcher, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Shiraz, Iran
10
Researcher, East Azarbaijan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Tabriz, Iran
11
Researcher, Markazi Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Arak, Iran.
10.22124/cr.2024.27052.1819
Abstract
Genotype × environment interaction is one of the complex issues in plant breeding programs for preparing of genotypes with high and stable yield. Before the release of cultivars, the genotype and environment main effects and genotype × environment interaction effect are investigated during tests to evaluate the stability and compatibility of genotypes, in order to select superior genotypes.In this research, AMMI and GGE Biplot models methods were used to determine the stable genotypes of bread wheat resulting from breeding programs and to select stable genotypes with high yield for the studied environments in the cold climate of the country.
14 winter and intermediate (Facultative) growth type wheat genotypes, along with Mihan, Heydari, Zarineh and Zare varieties (a total of 18 genotypes) under normal irrigation conditions in the randomized complete block design (RCBD) with three replications in research stations of Karaj, Hamadan, Mashhad, Jalgarokh, Miandoab, Ardabil, Arak, Eqlid, Tabriz and Qazvin were investigated. The results of combined analysis showed that the environment main effect and the genotype × environment interaction effect were the largest with 47.2 and 28.3 percent, respectively, and the genotype effect with 9.8 percent had the smallest contribution to the sum of squares of the experiments. AMMI analysis showed the existence of differences between environments, genotypes and their interactions. In total of the simultaneous selection indices based on AMMI parameters, G8, G12, G1, G4, and G3 genotypes have the lowest total rank and were selected as stable genotypes with high yield. Based on the biplot of mean yield and stability, G8, G4, G3 and to some extent G1 genotypes were among the most stable genotypes with yield higher than the average of the studied genotypes. Based on biplot of which-won-where pattern, genotypes were divided into five groups and environments into three groups.In terms of selected genotypes, there was little difference between AMMI and GGE Biplot analyzes and both methods presented somewhat the same genotypes as superior genotypes. But the selection of genotypes based on the simultaneous selection indices based on AMMI analysis parameters is more logical due to the inclusion of all significant components in the calculation of these parameters.
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