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

Published: 27 December 2023| Version 1 | DOI: 10.17632/9sdfh8wmxc.1
Contributors:
, Zakaria Alam,
,
,

Description

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.

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The trial took place in the net house of RPRS, Bangladesh Agricultural Research Institute, Madaripur, Bangladesh, situated between 23°00' and 23°30' north latitudes and 89°56' and 90°21' east longitudes. The survival status of sesame genotypes was assessed following waterlogging stress at the pre-flowering stage. The grain yield data for plants subjected to stress and those not exposed to stress was obtained using an analytical balance. The total weight of grain (g) per genotype per replication was documented, and the results were averaged for analysis.

Institutions

Bangladesh Agricultural Research Institute

Categories

Agricultural Science, Agronomy, Data Science, Plant Physiology

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