Proficiency of Biplot Methods (Ammi and Gge) in the Appraisal of Triticale Genotypes in Multiple Environments

Abstract

The AMMI (additive main effect and multiplicative interaction) and GGE (genotype, genotype x environment) biplot analyses were used to evaluate and identify stability and yield of Triticale genotypes at three different locations throughout two years (2014-15-2015-16). The AMMI analysis of variance showed significant genotype, environment and GE interaction and indicated 1.31, 98.40 and 0.28% of total variation, respectively. The GGE bi-plot analysis indicated 78.19% of the total variation (PC1 (priciple component) 50.01%, and PC2 26.08%). This study has been useful to discriminate genotypes with superior and stable yield evaluated by the AMMI analysis and yield stability index incorporating the AMMI stability value and yield capacity in a single non-parametric index. The AMMI analysis indicated that G4, G8 (candidate) and G6 were found to be quite promising genotypes. In the GGE biplot analysis genotypes were investigated in two mega-environments, and the first megaenvironment covered E3, E5 and E6, and the second mega-environment covered E1, E2 and E4. The genotypes G6, G8, G9 and G11 were the wining genotypes in ME (mega-environment) I, G3, G4 and G12 and in ME II. The GGE and AMMI biplot approaches let us to describe the best genotypes, and G8 to be stable and high yielding for both ME, G6 only for ME I, G4 only for ME II and can be recommended to release as a cultivar.

Stability on Maize Hybrids Based on GGE Biplot Graphical Technique

“…The ideal hybrids are presented at the center of a multilayered concentric circle, and the genotype under evaluation is judged based on its distance from the ideal hybrid. Genotypes near the center of the concentric circle have a good yield, and those far from the circle's center have lower yields [33]. According to the findings, the method of hybrids arrangement in descending order is as follows: KSC705 > KSC707 > KSC704 > KSC706 > KSC400 > SC647 > SC604 > DC370 > KSC260 > SC302 > SC301 (Figure 3).…”

Genotype and environment interaction and stability of grain yield and oil content of rapeseed cultivars

“…On the other hand, genotypes are close to each other on the map, they may seem efficient in almost all environments, even if the genotypes are far apart, reacting differently from the environment. By using two main axes, this analysis constitutes an advanced understanding of GEI (Kendal et al, 2019 ). Another same research was accomplished on the stability of rapeseed yield in different regions.…”

Heat Stress Response of Bread Wheat Genotypes Under High and Low Rainfall Environments

“…The figure is interpreted as follows; there is a positive correlation if the angle between the vectors of the two traits is less than 90 0 , negative if greater than 90 0 , and no relationship if equal to 90 0 . In addition, if the vector of one trait is longer than the other vectors, the variation between the genotypes is high in this traits, and if the vector is short, the variation among the genotypes is low (Yan et al, 2000;Yan and Tinker, 2006;Kendal et al, 2019). According to this explanation, there is a strong positive relationship among GY, TW and TGW; among PR, SN and HT and a negative relationship between TGW and GN (Figure 3).…”