Dataset on genetic variation and trait association in cheeseweed (Malva parviflora L .) genotypes for agronomic traits

Md Marufur Rahman; Md Ashraful Alam; Hasibul Hasan; Mirana Akhter Sumi; Md Maksudul Haque

doi:10.1016/j.dib.2022.108651

Dataset on genetic variation and trait association in cheeseweed (Malva parviflora L .) genotypes for agronomic traits

Data Brief. 2022 Oct 11:45:108651. doi: 10.1016/j.dib.2022.108651. eCollection 2022 Dec.

Authors

Md Marufur Rahman¹, Md Ashraful Alam², Hasibul Hasan³, Mirana Akhter Sumi⁴, Md Maksudul Haque⁵

Affiliations

¹ Regional Station Rangpur, Bangladesh Institute of Research and Training on Applied Nutrition (BIRTAN), Rangpur, Bangladesh.
² Plant Breeding Division, Spices Research Center, Bangladesh Agricultural Research Institute (BARI), Bogura, Shibganj, Bangladesh.
³ Department of Agriculture, Rabindra Maitree University (RMU), Kustia, Bangladesh.
⁴ Regional Agricultural Research Institute, Bangladesh Agricultural Research Institute (BARI), Moulvibazar, Akbarpur, Bangladesh.
⁵ Head Office, Bangladesh Institute of Research and Training on Applied Nutrition (BIRTAN), Narayanganj, Araihazar, Bangladesh.

Abstract

In order to analyze genetic variability, heritability, genetic advance and trait associations in Malva parviflora genotypes for agronomic traits, this paper presented a dataset. Seven agronomic traits variation and genetic parameters, including phenotypic and genotypic variance, genotypic and phenotypic coefficients of variation, broad-sense heritability, genetic advance, traits association, principal component analysis, and heatmap analysis were performed based on phenotypic data. Excel, PBtools, STAR, and R applications were used to analyze the data. There was substantial variation for the traits as revealed by descriptive statistics and variance analysis. Graphical presentation showed for principal component analysis and heatmap analysis. Researchers can use this dataset as guide to their plan for improvement this crop as leafy vegetables.

Keywords: Genetic advance (GA); Genetic variability; Genotypic co-efficient of variation (GCV); Heritability (H); Phenotypic co-efficient of variation (PCV).