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Medicinal plants play a major role in traditional system of medicine and they form a large group of economically important plants that provide the basic raw material for indigenous pharmaceuticals. Identification of the authentic original medicinal plants is utmost important for the preparation of genuine crude/raw drugs. Pollen morphology is one of the important tool for the taxonomic studies and helps in the identification of medicinal plants.
Pollen characterization of five medicinal/drug yielding plants viz., Carum copticum, Coriandrum sativum, Ricinus cummunis, Syzygiam cumini, and Citrus limon collected from Telangana region of South India during 2021 – 2022 was carried out by using Light Microscope (LM). The different species of palynotaxa showed great morphological diversity. The pollen grains showed variations in size, shape, apertural pattern and sporoderm ornamentation. The apertural pattern include tricolporate and tetracolporate forms which are of compound type. Pollen of Carum copticum, Coriandrum sativum, Ricinus communis, and Syzygium cumini, are tricolporate and Citrus limon showed tetracolporate apertural type. The exine ornamentation diversity is indicated by reticulate, psilate, and microreticulate pattern. The plants studied in the present work were known for their medicinal use in traditional system of medicine.
Keywords:
Pollen morphology; medicinal plants; crude/raw drugs; Ayurvedic medicine; Telangana state; South India.
Cite Article:
"Pollen diversity of some important medicinal plants used in traditional system of medicine from Telangana region of South India", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.1717 - 1721, August-2022, Available :http://www.ijrti.org/papers/IJRTI2207296.pdf
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000204863
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator