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

doi:10.1155/2021/5576691

Yield Stability Analysis of Maize (Zea mays L.) Hybrids Using Parametric and AMMI Methods

Scientifica (Cairo). 2021 Mar 25:2021:5576691. doi: 10.1155/2021/5576691. eCollection 2021.

Authors

Seyed Habib Shojaei¹, Khodadad Mostafavi², Ali Omrani³, Saeed Omrani⁴, Seyed Mohammad Nasir Mousavi⁵, Árpád Illés⁵, Csaba Bojtor⁵, Janos Nagy⁵

Affiliations

¹ Department of Agronomy and Plant Breeding, Science and Research Branch, Islamic Azad University, Tehran, Iran.
² Department of Agronomy and Plant Breeding, Karaj Branch, Islamic Azad University, Karaj, Iran.
³ Crop and Horticultural Science Research Department, Ardabil Agricultural and Natural Resources Research and Education Center, AREEO, Moghan, Iran.
⁴ Plant Breeding and Genetics, Department of Agronomy and Plant Breeding, Isfahan University of Technology, Isfahan 84156-83111, Iran.
⁵ Institute of Land Utilization, Technology and Regional Development, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Debrecen, Hungary.

Abstract

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.