Abstract
In this study, 12 maize hybrids were planted and evaluated to determine the effect of genotype and genotype-environment interaction (GEI) base GGE (genotype plus genotype-by-environment) using a Graphical biplot technique in four research stations (Arak, Birjand, Shiraz and Karaj) within two years using a Randomized Complete Blocks Design (RCBD). The combined analysis of variance showed that the effects of the environment, genotype and genotype-environment interaction (GEI) were significant in the one percent probability level. GGE biplot results indicated that the first and second principal components (PC1 and PC2) explained more than 83% of the grain performance variation. Simultaneous study of grain performance and hybrid stability using the biplot of average environment coordinates showed that the KSC705 genotype had the highest yield and stability. Polygon view divided the studied areas into two mega-environments (MEs) and identified the best genotypes in each mega-environment (ME). In the first mega-environment (ME1), the Karaj and Shiraz with KSC706 and KSC400 genotypes were detected, and were the best; and in the second mega-environment (ME2), Arak and Birjand with KSC704 and KSC707 genotypes performed better. The biplot graph for the correlation between the genotypes categorized the studied hybrids into four groups positively related to each other based on the angles between vectors. The KSC704 and KSC707 genotypes were desirable in the yield in Shiraz and Karaj and KSC706 were in Arak and Birjand. Additionally, Arak-Birjand, Karaj-Shiraz showed a positive and significant correlation. Birjand and Karaj had most genotype interaction with each other.
Highlights
Maize is globally cultivated as one of the most important cereal crops ranking third after wheat and rice
The significance of the effect of genotype-environment interaction (GEI) showed that the environments can be grouped based on the interaction [25,26]
A significant variation was observed among the hybrids for seed performance, indicating that the biplot method facilitated the discrimination of genotypes in different environments in this research
Summary
Maize is globally cultivated as one of the most important cereal crops ranking third after wheat and rice. In the 2017 cropping season, the total maize-producing area worldwide was 187 million hectares with a total production of 106 million tons [1]. Breeding highperformance and stable genotypes appropriate for environmental situations in different fields is essential for high and stable corn performance. In the modern grain industry, the combined regional trial of crop diversity is a significant and rising national and provincial regional problem that has emerged recently. The combined restricted test of corn genotypes is a comprehensive evaluation of a newly cultivated genotype’s performance, adaptability, stress resistance, quality, and representativeness according to official specifications [2]. As the cultivation area of maize has expanded within recent years, high performance has been achieved in the area. To determine the reliability and consistency of genotypes and the qualities of the G and E effect, scientists have presented various techniques, each of which has advantages and disadvantages
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
