First insights into the AMMI and GGE biplot-based multi-environment analysis for morpho-chemical traits in spearmint (Mentha spicata L.) half-sib genotypes

Genotype plus genotype-by-environment (GGE) and additive main effects and multiplicative interaction (AMMI) analyses are recognized as the two most effective approaches for assessing genotype × environment interaction. In this investigation, forty-three spearmint (Mentha spicata L.) half-sib seed progenies were evaluated for the stability of agro-morphological and biochemical characteristics. For leaf-to-stem ratio, limonene and carvone contents, the analysis of variance uncovered the presence of a significant genotype-by-environment interaction, this finding illustrates that Mentha spicata genotypes exhibited diverse levels of performance across the three environments. The genotypes OPSP-95, OPSP-96, OPSP-78, OPSP-46, and OPSP-86 excelled in carvone per cent in each environment, as indicated by the “which-won-where” polygon. The optimal genotypes for carvone content determined by the genotype ranking are as follows OPSP-46, OPSP-35, OPSP-86, OPSP-78, OPSP-66 and OPSP-106 and for limonene content OPSP-86, OPSP-66, OPSP-47, OPSP-56, OPSP-59 and OPSP-106. Three genotypes OPSP-50, OPSP-112, and OPSP-16 showed both high oil yield per plot couples with stability across tested environments. Based on the mean trait stability index, genotypes OPSP-92, OPSP-76, OPSP-96, OPSP-94, OPSP-95, and OPSP-117 were stable and best based on all observed characters across the three environments. Spearmint genotypes that are stable and high-yield can be cultivated commercially and utilized as base populations for upcoming breeding initiatives.