Evaluation of genotype x environment interactions in maize hybrids using GGE biplot analysis

Abstract

Seventeen hybrid maize genotypes were evaluated at four different locations in 2005 and 2006 cropping seasons under irrigated conditions in Turkey. The analysis of variance showed that mean squares of environments (E), genotypes (G) and GE interactions (GEI) were highly significant and accounted for 74, 7 and 19 % of treatment combination sum squares, respectively. To determine the effects of GEI on grain yield, the data were subjected to the GGE biplot analysis. Maize hybrid G16 can be proposed as reliably growing in test locations for high grain yield. Also, only the Yenisehir location could be best representative of overall, locations for deciding about which experimental hybrids can be recommended for grain yield in this study. Consequently, using of grain yield per plant instead of grain yield per plot in hybrid maize breeding programs could be preferred by private companies due to some advantages.

GGE biplot analysis for yield performance of grain Amaranth genotypes across different environments in western India

“…Moreover, by means of this method, it was apparently established that high and stable yields could be attained only in specific environment. Other researchers observed that GGE biplot analysis is a suitable device for detecting experimental environments to select best genotypes in field crops as well (Balestre et al, 2009;Ilker et al, 2009;Oliveira et al, 2010;Tonk et al, 2011;Khalil et al, 2011;Beyene et al, 2011, Nzuve et al, 2013Mortazavian et al, 2014;Miah et al, 2015).…”

“…The pattern of environments on the biplots suggested that all the environments were positioned in different concentric circle ( Figure 5). In present study, as the angle between E2 and E3 environments was less than 90˚, it revealed that G × E was moderately small and these environments tend to discriminate among genotypes in a similar manner and have a strong relationship.Corresponding environments were considered as the best environments for genetic discrepancy of genotypes under study (Tonk et al, 2011;Miah et al, 2015). Besides, the environment which is not far away from the origin of biplot did not have the discriminating ability and was not illustrative (E1), as the AEA Y-axis shown large projection (Figure5).…”

“…Genotype × environment interaction (GE) have shown there supremeness for delineating stability of genotypes and have partitioned variation that better aid for selection of consistent stable genotypes in many different studies (Dehghani et al, 2006;Yan et al, 2007;Sabaghnia & Sabaghpour, 2008). There are several methods for stability analysis among which GGE biplot analysis was used in the present study to deduce stability of the crop with aim to investigate the stability of seed yield in amaranths and graphically summarize and considerate the assets of G and GE interaction (Yan & Kang, 2003;Samonte et al, 2005;Dehghani et al, 2009, Balestre et al, 2009Oliveira et al, 2010;Tonk et al, 2011). Present study was undertaken for the first time to gather information about GE interaction of different amaranth genotypes for high seed yield using three year data using GGE biplot analysis.…”

Phenotypic stability and GGE biplot analysis in Pigeonpea [Cajanus cajan (L.) Mill sp.] genotypes across the environments

“…This showed that stable production of pigeonpea is possible in this environment. As per Tonk et al (2011), these were the best environments for genotypes differentiation, while, the environment which showed large projection onto the AEA Y-axis suggesting them to be unfavorable and didn"t have ability to discriminate the genotypes (Figure 3). …”

Genotype by environment interaction and yield stability of early maturing maize single cross hybrids at three locations in Southern Ghana

“…An ideal environment should both be highly differentiating of the genotypes and representative of the target environment (Tonk et al, 2011;Dehghani et al, 2006). According to Tonk et al (2011), the ideal environment represented by the small circle with an arrow pointing to it (Figure 2) is the most discriminating of genotypes and representative of the other test environments.…”