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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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Principais autores: Abul Fazal Mohammad Shamim Ahsan, Zakaria Alam, Faruque Ahmed, Sanjida Akter, Md. Anwar Hossain Khan
פורמט: Artigo
שפה:Inglês
יצא לאור: Elsevier 2024-04-01
סדרה:Data in Brief
נושאים:
Waterlogging
Stress indices
Factor analysis
Broad sense heritability
Selection gain
גישה מקוונת:http://www.sciencedirect.com/science/article/pii/S2352340924001471
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