Assessing Indigofera tinctoria L. as a forgotten medicinal-industrial plant and the importance of its revitalization for the sustainability of Iran's agricultural ecosystems
Publish place: Central Asian Journal of Environmental Science and Technology Innovation، Vol: 3، Issue: 2
Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
View: 140
This Paper With 8 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_CAS-3-2_001
تاریخ نمایه سازی: 28 اردیبهشت 1401
Abstract:
Indigo (Indigofera tinctoria L.) belongs to the legume family and its original habitat is India. The extracted dye from its leaves has been known in ancient civilizations, such as Mesopotamia, Egypt, Greece, Rome, England, Central America, Peru, Iran and Africa. In ۱۹۸۶, the area under cultivation of this plant was about ۱۶۹۴ hectares. In ۲۰۱۶, the cultivation of this plant has been reduced to ۲۶۵ hectares. This study is a type of developmental research and review, its method is library survey, and data were collected by note taking tools. The results indicated that indigo can be considered as one of the forgotten plants in the country due to declining trend in the area of cultivation. This plant is currently cultivated only in some areas of Kerman province such as Fahraj, Jiroft and Regan, and in most of these areas, it grows wild in pastures and mountains at an altitude of ۷۰۰ meters above sea level. Therefore, in order to preserve and protect this useful and important species, it should be used in crop rotations and stable ecosystems. Also it is necessary to identify and generalize all the issues of this medicinal-industrial crop and proper planning should be done to prevent the process of forgetfulness.
Keywords:
Authors
Mohammad Reza Zargaran Khouzani
Department of Agrotechnology, Majoring in Ecological Plants of Khuzestan University of Agricultural, Ahvaz, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :