Dataset on Stability Analysis of High Biomass and Yield in Maize Across Multiple Genotypes and Environments under Normal and Intercropping Systems

This dataset contains raw data collected from field experiments involving 20 maize genotypes grown in various environments with replicated blocks. The primary aim of the study was to evaluate biomass production and grain yield performance under two cropping systems: sole cropping and intercropping.

The dataset includes genotype codes, environmental identifiers, replication numbers, grain yield (tons per hectare), and total biomass (kilograms per hectare). These data support in-depth stability analyses, including biplot visualizations and the Genotype Stability Index (GSI), facilitating the assessment of adaptability and consistency of maize genotypes across diverse agro-ecological contexts.

Researchers in plant genetics, breeding, and agronomy can leverage this dataset to identify superior genotypes and implement sustainable cultivation strategies. Additionally, the open availability of this dataset promotes scientific transparency, reproducibility, and enables further meta-analytical research on crop stability.