Genotype–Trait (GT) Biplot Analysis for Yield and Quality Stability in Some Sweet Corn (Zea mays L. saccharata Sturt.) Genotypes

A strong statistical method for investigating the correlations between traits, assessing genotypes based on numerous and finding individuals who excel in particular traits is genotype–trait (GT) biplot analysis. The current study was applied to evaluate 11 sweet corn (Zea mays L. saccharata) correlate them analysis two cropping seasons Erzurum, Türkiye using RCBD experimental design with three reputations. results showed that were significantly different majority of examined variables according combined variance findings at 0.01 probability level. An ecological performed varieties environmental conditions interactions (genotype × conditions). Our summation first second main components responsible 73.51% years growth development variance, demonstrating graph’s optimum relative validity, which obtained. In this study, Khan F1 (G6) genotype found be stablest genotype, Kompozit Seker (G7) non-stable moreover year, average mean years. As a conclusion, highest-yielding lowest. Based heat map dendrogram, context differential extent trait association all into clusters indicated. highest genetic distance shown BATEM Tatlı (G3) Febris (G5) genotypes. provide helpful information about environments future breeding programs.