B
Basudeba Kar
Researcher at Siksha O Anusandhan University
Publications - 57
Citations - 608
Basudeba Kar is an academic researcher from Siksha O Anusandhan University. The author has contributed to research in topics: Essential oil & Curcuma. The author has an hindex of 11, co-authored 48 publications receiving 419 citations.
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Rapid plant regeneration in industrially important Curcuma zedoaria revealing genetic and biochemical fidelity of the regenerants
Sudipta Jena,Asit Ray,Ambika Sahoo,Suprava Sahoo,Biswabhusan Dash,Basudeba Kar,Sanghamitra Nayak +6 more
TL;DR: The present micropropagation protocol could be effectively employed to generate true to type plantlets of C. zedoaria and genetic homogeneity of in vitro plants was further confirmed through ISSR and flow cytometry analysis.
Journal ArticleDOI
EST-SSR marker revealed effective over biochemical and morphological scepticism towards identification of specific turmeric (Curcuma longa L.) cultivars
Ambika Sahoo,Sudipta Jena,Basudeba Kar,Suprava Sahoo,Asit Ray,Subhashree Singh,Raj Kumar Joshi,Laxmikanta Acharya,Sanghamitra Nayak +8 more
TL;DR: The novel SSR markers can be used for identification and authentication of two commercially important turmeric cultivars ‘Lakadong’ and ‘Suvarna’.
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Assessment of Genetic Diversity in Zingiberaceae Through Nucleotide Binding Site-Based Motif-Directed Profiling
TL;DR: The study suggests that genetic variability assessment could be more efficient if it targeted genes that exhibit functionally relevant variation, rather than random markers.
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Exploiting EST databases for the mining and characterization of short sequence repeat (SSR) markers in Catharanthus roseus L.
TL;DR: These detected SSRs can be used to design primers that have functional importance and should also facilitate the analysis of genetic diversity, variability, linkage mapping and evolutionary relationships in plants especially medicinal plants.
Comparative genetic analysis of lowland rice cultivars of India using microsatellite markers
TL;DR: This diversity analysis of lowland rice analysis was found to be better and more accurate than the previous classification made by RAPD and other SSRs and can act as a landmark for variety registration authority.