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All Journal Journal of Tropical Crop Science Journal of Tropical Pharmacy and Chemistry
Akter, Sadia
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Health Professions Immunology & microbiology Medicine & Pharmacology

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Investigation of Total Tannin, Phenolic & Flavonoid Content of Araucaria Heterophylla for Antioxidant Source Ghosh, Ankita; Paul, Shimanta; Ghosh, Susmita; Akter, Sadia; Mahedi, Rezwan Ahmed; Afrin, Sadia; Hasan, Akayed; Hasan, Ali Mohamod Wasaf; Sayeed, Md Abu; Syrmos, Nikolaos
Journal of Tropical Pharmacy and Chemistry Vol. 8 No. 2 (2024): J. Trop. Pharm. Chem.
Publisher : Faculty of Pharmacy, Universitas Mulawarman, Samarinda, Indonesia, 75117, Gedung Administrasi Fakultas Farmasi Jl. Penajam, Kampus UNMUL Gunung Kelua, Samarinda, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25026/jtpc.v8i2.634

Abstract

Secondary metabolites, a type of bioactive molecule with many functions, are abundant in Araucaria Heterophylla. The secondary metabolites flavonoids, phanolic acid, and tannin have been found to have anti-inflammatory, antiviral, antibacterial, antioxidant, and anticancer properties. The present study was conducted to analyze the phytochemical and determine the total flavonoid, tannin, phenolic content of Araucaria Heterophylla leaves extract using two different solvents (methanol and dichloromethane) using UV-Vis spectrophotometric. The plant was identified by NHB (ID No: DACB 48435) and prepared the methanolic extract to estimate the total content of tannin, phenolic & flavonoid in Araucaria Heterophylla. Folin-ciocaltu method was used for the investigation of total phenolic and tannin content. The A. heterophylla leaf methanolic and dichloromethane extract had remarkable antioxidant effects due to its high flavonoid and phenolic content. This standardised bioactive ingredient could be used in many phytopharmaceutical preparations
Genetic Variability, Heritability, Genetic Advance, Correlation, and Path-Coefficient Analysis for Yield Attributing Traits in Chia (Salvia hispanica L.) Mondal, Upama; Naim, Jannatul; Akter, Sadia; Das, Biswajit; Abdullah, Adrita; Aurin, Fauzia Afrin; Hossain, Mohammad Anwar
Journal of Tropical Crop Science Vol. 12 No. 03 (2025): Journal of Tropical Crop Science
Publisher : Department of Agronomy and Horticulture, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jtcs.12.03.647-662

Abstract

Chia (Salvia hispanica L.) is a promising multifunctional crop renowned for its numerous health benefits. It is essential to comprehend the genetic variability of chia and how various variables impact seed yield to increase its genetic improvement under the agro climatic conditions of Bangladesh. A field experiment was conducted using eight chia genotypes to assess genetic diversity, heritability, and genetic advance (GA), as well as the correlation coefficients for eight factors and their level of association with yield. Analysis of variance results showed significant variation for all the traits, i.e., the number of branches per plant, the number of inflorescences per plant, the length of the main inflorescence, the number of seeds per floret, and seed yield per plant, which differed significantly from one another. GPBC 1, BAU Chia 2, BAU Chia 1, and GPBC 3 were found to be promising genotypes for yield-attributing traits. Higher genotypic and phenotypic coefficient of variation was observed for seed yield per plant and the number of inflorescences per plant. High heritability coupled with high GA% was recorded for the number of inflorescences per plant and seed yield per plant. Seed yield per plant was positively correlated with the number of inflorescences per plant, the length of the main inflorescence, and plant height, while being negatively correlated with days to first flowering and days to maturity. Plant height and the number of inflorescences per plant had the highest direct positive effect on seed yield per plant as revealed through path analysis. The first four principal components contributed 84% of the total variation. The results of the current research may help choose better genotypes and traits for chia breeding initiatives to increase yield.
Co-Authors Abdullah, Adrita Afrin, Sadia Aurin, Fauzia Afrin Das, Biswajit Ghosh, Ankita Ghosh, Susmita Hasan, Akayed Hasan, Ali Mohamod Wasaf Hossain, Mohammad Anwar Mahedi, Rezwan Ahmed Mondal, Upama Naim, Jannatul Paul, Shimanta Sayeed, Md Abu Syrmos, Nikolaos