This study consolidated our understanding on the weeds of Bhadrak district, Odisha, India based on both bibliographic sources and field studies. A total of 277species of weed taxa belonging to 198 genera and 65 families are reported from the study area. About 95.7% of these weed taxa are distributed across six major superorders; the Lamids and Malvids constitute 43.3% with 60 species each, followed by Commenilids (56 species), Fabids (48 species), Companulids (23 species) and Monocots (18 species). Asteraceae, Poaceae, and Fabaceae are best represented. Forbs are the most represented (50.5%), followed by shrubs (15.2%), climber (11.2%), grasses (10.8%), sedges (6.5%) and legumes (5.8%). Annuals comprised about 57.5% and the remaining are perennials. As per Raunkiaer classification, the therophytes is the most dominant class with 135 plant species (48.7%).The use of weed for different purposes as indicated by local people is also discussed. This study provides a comprehensive and updated checklist of the weed speciesof Bhadrak district which will serve as a tool for conservation of the local biodiversity.
Bangladesh J. Plant Taxon. 27(1): 85-101, 2020 (June)
Panda T., Mishra N., Rahimuddin S., Pradhan B.K., Rout S.D., Mohanty R.B., 2018: Folk medicine used for the treatment of gynaecological disorders in rural areas of Bhadrak district, Odisha, India. -Botanica, 24(2): 132-142.Folk knowledge of the people in a given community has developed over time and is based on experience often tested over centuries of use, adapted to the local culture and environment and held by individuals or communities. This knowledge on resource utilization by human beings for medicinal purposes might have been established by trial and error, accumulated over thousands of years and often becomes encoded in everyday cultural practices. This study addresses an ethno-medicinal investigation in the interior of Bhadrak district, Odisha, India to explore, document and preserve the traditional knowledge for therapeutic use against gynaecological disorders by local inhabitants. The study is primarily based on field surveys carried out in villages, where traditional healers provided information about plant species used as medicine. Data on the use of medicinal plants were collected using standard procedures. A total of 38 medicinal plant species belonging to 29 families were gathered and documented throughout the study period to cure gynaecological ailments of human being. The predominant families are Fabaceae, Apocynaceae and Amaranthaceae. The most widely accepted plant species for the management of gynaecological ailments are Achyranthes
The livestock health management system is based on the principal concept to investigate bird health status by collecting biological traits like their sound utterance. This theme is implemented on four different species of livestock to cure them of bronchitis disease. This paper includes the audio features of both healthy and unhealthy livestock. Particularly, the secure audio-wellbeing features are incorporated into the platform to spontaneously examine and conclude using livestock voice information to recognize diseased birds. One month of long-term recognition experimental studies has been conducted where the recognition accuracy of the set of diseased birds was about 99% using adaptive neuro-fuzzy inference system (ANFIS). This recognition accuracy of ANFIS in this regard is better than the performance of an artificial neural network. This is a reliable way for researchers to investigate and constitute evidence of disease curability or eradication of incurable ones.
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