Selection of waterlogging tolerant sesame genotypes (Sesamum indicum L.) from a dataset 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, a...

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Autors principals:	Abul Fazal Mohammad Shamim Ahsan, Zakaria Alam, Faruque Ahmed, Sanjida Akter, Md. Anwar Hossain Khan
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2024-04-01
Col·lecció:	Data in Brief
Matèries:	Waterlogging Stress indices Factor analysis Broad sense heritability Selection gain
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2352340924001471
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