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Sukriti Dutta ¹, Sunita Munda ¹, Mohan Lal ¹, P. R. Bhattacharyya ¹

Affiliations
1 Medicinal Aromatic and Economic Plants Division, CSIR-North East Institute of Science and Technology,Jorhat - 785006, Assam, IN

Abstract

Background/Objectives: Cymbopogon species is a universally accepted oil bearing grass. It is very much valuable for both Industrial as because of its main components like Geraniol, Geranial, Citral, Myrcene, Neral, Nerol, and Citronellol, Limonene etc. and Medicinal value. Therefore, it is just a little attempt to survey the literature of this important grass. Materials and Methods: For this literature survey, basically library data was collected and digital resources were also included. From these sources we obtained reliable information about different works of Cymbopogon sp. Findings: These grasses have considerable medicinal importance as all parts of it are used extensively in Ayurvedic, unani and other some traditional health treatments. Studies by different researchers indicate that Cymbopogonspecies possesses various pharmacological activities such as anti-bacterial, anti-diarrheal, anti-amoebic, anti-filarial, anti-fungal and antiinflammatory properties, and various other effects like anti-mutagenicity, anti-malarial,anti-oxidants, anti-mycobacterial, hypoglycaemic etc. There are many literatures demonstrating the therapeutic use, enzyme inhibition activities of Citronella oil and also simultaneously analysed the different components of the oil. Application/Improvement: Till date very scanty information is available from different –different sources so, we try to collect this information in one review article. This review article gives an account of updated information on its chemical constituents, therapeutic uses, antimicrobial, antifungal and enzyme inhibitory activities of Cymbopogon species.

Keywords

Cymbopogon, Chemical Constituents, Enzyme Inhibition, Medicinal Properties, Pharmacological Activities, Therapeutic Use.

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Mohan Lal ¹, Sukriti Dutta ¹, Debajit Saikia ¹, B. S. Bhau ¹

Affiliations
1 Medicinal Aromatic and Economic Plant Division, CSIR-North East Institute of Science and Technology, Jorhat – 785006, Assam, IN

Abstract

Background/Objectives: To evaluate and identify the selection criteria of high yielding genotypes of sesame in high moisture and acidic soil conditions in north east India. Methods/Statistical Analysis: Hundred diverse accessions of Sesamum indicum L. were investigated in Kharif 2014 at CSIR-NEIST Jorhat. Relationships were determined between single plant seed yield (g) and leaf nodes per plant, number of pods per plant, number of pods per main stem, breadth of pod, number of seeds per pod, 1000-seed weight and number of seeds per plant. Simple phenotypic correlation coefficients among all observed components were first calculated by the SPSS statistical program (version 10) and later separated into direct and indirect effects through path coefficient analyses as suggested by Singh and Chaudhary13. Path coefficients were estimated by following Dewey and Lu5. Findings: Analysis of variance revealed significant difference among genotypes for all the characters studied. Seed yield per plant showed significant and positive association with number of pods/plant, days to maturity and number of seeds/pod. Path coefficient analyses showed number of pods/plant had maximum direct effect on seed yield followed by breadth of pods, days to maturity and number of pods on main stem. It could be concluded that the number of pods per plant, days to maturity and number of pods on main stem are promising good selection criteria for single plant seed yield improvement in sesame. Application/Improvements: This analysis proposed that sesame breeding for higher yield could be based on these characters as selection criteria.

Keywords

Character Association, Correlation, Path Coefficient, Sesame, Single Plant Seed Yield

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