Yield Stability Analysis of Maize (Zea mays L.) Hybrids Using Parametric and AMMI Methods
Seyed Habib Shojaei,
Khodadad Mostafavi,
Ali Omrani,
Saeed Omrani,
Seyed Mohammad Nasir Mousavi,
Árpád Illés,
Csaba Bojtor,
Janos Nagy
Affiliations
Seyed Habib Shojaei
Department of Agronomy and Plant Breeding, Science and Research Branch, Islamic Azad University, Tehran, Iran
Khodadad Mostafavi
Department of Agronomy and Plant Breeding, Karaj Branch, Islamic Azad University, Karaj, Iran
Ali Omrani
Crop and Horticultural Science Research Department, Ardabil Agricultural and Natural Resources Research and Education Center, AREEO, Moghan, Iran
Saeed Omrani
Plant Breeding and Genetics, Department of Agronomy and Plant Breeding, Isfahan University of Technology, Isfahan 84156-83111, Iran
Seyed Mohammad Nasir Mousavi
Institute of Land Utilization, Technology and Regional Development, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Debrecen, Hungary
Árpád Illés
Institute of Land Utilization, Technology and Regional Development, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Debrecen, Hungary
Csaba Bojtor
Institute of Land Utilization, Technology and Regional Development, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Debrecen, Hungary
Janos Nagy
Institute of Land Utilization, Technology and Regional Development, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Debrecen, Hungary
The present study investigated the stability and adaptability of maize (Zea mays L.) hybrids. In this study, 12 maize hybrids were planted and examined considering the grain yield. The experiment was arranged in a randomized complete block design (RCBD) with three replications in four research stations in Iran during two crop years. The combined analysis of variance showed that genotype-environment interactions were significant at one percent probability level. The grain yield can stabilize, and hybrids with specific adaptability are recommended to each environment. Hybrids with specific adaptability can be recommended to all types of the environment. Means comparison yield of the genotypes identified DC370 as a high-yield genotype. Regarding AMMI analysis, genotype × environment interactions (GEIs) and two first components were found significant. The SC647 genotype was identified as the most stable genotype. Regarding the stability parameters, SC647 and KSC705 genotypes were selected as the most stable genotypes. From AMMI1 and AMMI2 graphs, the SC647 genotype was identified as the most stable genotype compared with other hybrids.
