Selection of pre-flowering waterlogging stress-tolerant genotypes from a dataset of sesame (Sesamum indicum L.) using the MGIDI index

The dataset explores the impact of waterlogging stress on sesame plants during the pre-flowering stage, recognizing its global impact on crop yield and the identification of tolerant genotypes using the MGIDI index. Carried out in Bangladesh, the research assesses the survival status, grain yield, and stress tolerance indices of 40 sesame genotypes, revealing that twelve of them demonstrated resilience under 72 hours of waterlogging stress at the pre-flowering stage.