Background: From ancient times to now, native medicinal plants have been used as important medicinal source. Traditional botany offer valuable ways to find new medicinal plants and herbal medicines. Objective: The purpose of this study is to collect and identify of medicinal plants in the Cheshmeh Gandou area that located in the Khafri part of Sepidan Township. Methods: In 2016-2017, flora of medicinal plants of Cheshmeh Gandou region was studied. Using geographical maps, the plants of the area were collected and using the experiences of indigenous people, the medicinal properties of the plants and used organs were recorded. The samples were then identified using valid sources. Results: In total, 96 species of medicinal plants belonging to 35 families and 87 genera were identified in the region, which are used in the treatment of various diseases, including gastrointestinal diseases, healing of wounds, sedative, stomachic tonic, etc. Also, by the examining the type of plants in the region, it was determined that the most type of consumption is as boiled and brewed. The largest family was reported in terms of number of species respectively Lamiaceae family with 20 species and Asteraceae family with 14 species. The genus Salvia with 5 species was identified as the largest medicinal genus in the area. Conclusion: By recognizing the existing capabilities and introducing the indigenous medicinal plants, it is possible to act for extensive cultivation and exploitation, expand the cultivation of medicinal plants based on the need for domestic and foreign markets and provide information and culture for the conservation of natural resources. Therefore, the identification of medicinal plants preserves the genetic resources and helps to the country's medicinal independence.
CITATION STYLE
Saeideh, R. A., & Katayoun, P. (2020). Traditional usage of native medicinal plants of Cheshmeh Gandou region in Sepidan Township (Fars Province). Journal of Medicinal Plants, 19(74), 200–219. https://doi.org/10.29252/jmp.19.74.200
Mendeley helps you to discover research relevant for your work.