STUDI ETNOBOTANI TIGA PASAR TRADISIONAL DI KABUPATEN TABANAN BALI

2018 ◽  
Vol 17 (3) ◽  
Author(s):  
Wawan Sujarwo ◽  
I Nyoman Lugrayasa ◽  
Farid Kuswantoro
Keyword(s):  
Cluster Analysis ◽  
Plant Species ◽  
Local Community ◽  
Diversity Index ◽  
Cocos Nucifera ◽  
Principal Component ◽  
Structured Interview ◽  
Use Value ◽  
Traditional Markets ◽  
Sørensen Index

The trade process makes traditional market able to become a pool of traditional knowledge for various local wisdoms that develop in the local community, including the use of plants. This study aims to document the traditional uses of plant species traded in three traditional markets in Tabanan regency. Data collection was carried out by semi-structured interview toward 64 traders of Baturiti, Marga, and Tabanan traditional markets, respectively. Data analysis was performed quantitatively by calculating the use value index, and some ecological indices, such as diversity index, margalef index, pielou index, sørensen index, cluster analysis, and principal component analysis. Qualitative analysis was also used to tabulate and presented the data into tables and figures. The study documented 52 plant species belonging to 48 genera and 30 families. Herbs are the most widely used habitus, and Zingiberaceae is the most widely used plant family. The most widely used use-category is condiments, and Cocos nucifera is a plant species with the highest use-value. The study also showed a highly plant diversity, which is traded in each market, with slightly different similarities. Cluster analysis and PCA showed that there is a little difference in plants species traded in three traditional markets. Differences in altitude may affect the diversity of plant species traded, including the buyer's preference (community).

scholarly journals Ethnobotanical survey on plants used in the treatment of candidiasis in traditional markets of southern Benin

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Brice Armand Fanou ◽  
Jean Robert Klotoe ◽  
Lauris Fah ◽  
Victorien Dougnon ◽  
Charles Hornel Koudokpon ◽  
...  
Keyword(s):  
Medicinal Plant ◽  
Plant Species ◽  
Plant Cover ◽  
Public Health Problem ◽  
Structured Interview ◽  
Traditional Healers ◽  
Medicinal Plant Species ◽  
Ethnobotanical Survey ◽  
Traditional Markets ◽  
Southern Benin

Abstract Background Candidiasis, an opportunistic cosmopolitan disease is nowadays like bacterial infections which is a real public health problem. In view of the emergence of Candida strains resistant to existing antifungal agents, alternative solutions should be considered. This is the purpose of this ethnobotanical survey, which aims to identify the medicinal plant species traditionally used to treat candidiasis in traditional markets of southern Benin. Methods The study was performed from October 2015 to January 2018 in the traditional markets of Southern-Benin. Data were collected by two complementary methods: triplet purchase of medicinal recipes (ATRM) from herbalists markets and semi-structured interview (ISS) from traditional healers. Results A total of 109 species of medicinal plants belonging to 44 families have been listed and identified. The most frequently cited species were Pteleopsis suberosa Engl. & Diels, Lantana camara L., Cyanthillium cinereum (L.) H. Rob, Ocimum gratissimum L. and Lippia multiflora Moldenke with respectively 43.84, 39.73 and 34.25% citation frequencies for the last three species respectively. Leguminosae (20.18%), Euphorbiaceae (5.50%) and Apocynaceae (5.50%) were the most represented botanical families. Leafy stems were more used than other plant organs. The decoction and the oral route were the most appropriate methods of preparation and administration reported by traditional healers. Conclusion Benin’s plant cover is made up of a wide variety of medicinal plant species used in the traditionnal treatment of candidiasis and which may constitute new sources of medicines to be developed.

scholarly journals An ethnobotanical study of wetland flora of Head Maralla Punjab Pakistan

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258167
Author(s):  
Muhammad Sajjad Iqbal ◽  
Khawaja Shafique Ahmad ◽  
Muhammad Azhar Ali ◽  
Muhammad Akbar ◽  
Ansar Mehmood ◽  
...  
Keyword(s):  
Plant Species ◽  
Local Community ◽  
Primary Source ◽  
Wetland Plants ◽  
Ethnobotanical Study ◽  
Use Value ◽  
Terrestrial Plants ◽  
Total Consumption ◽  
Respiratory Disorders ◽  
Azad Kashmir

Background Wetlands are biologically diverse and highly productive ecosystems that support one-third of all threatened and endangered plants of the world. Wetland plants have been studied ethnobotanically much less than terrestrial plants, including in Pakistan, thus information about the uses of local wetland plants in traditional healthcare system is scare. Head Maralla is a non-recognized wetland with diversified flora that has been focused of the current study. Methods The ethnobotanical data were collected from four sites viz., River Tavi, Upstream Chenab, River Manawarwala Tavi, and Bhalolpur through questionnaire and interviews during field trips. Quantitative indices including informant consensus factor (ICF), cultural significant indext (CSI), relative frequency of citation (RFC), and use value (UV) were used to analyze the data. Results On the whole, 119 plant species were identified belonging to 54 families, of which 87 species were dicot, 12 monocots, 11 aquatic, 5 ferns, and 4 species were bryophytes. Of these, 50% of the plant species were utilized for therapeutic purposes, followed by leaves which had more than 20% usage of total consumption. Herbs were the primary source of medicine (73 spp) followed by trees (22 spp), weeds (11 spp), shrubs (9 spp), foliose (2 spp) and thaloids (2 spp) in the area. Fic ranged from 0.66 to 0.93 for constipation and respiratory disorders with an average Fic of 0.87 reflecting a high consensus among the informants about the use of plants to treat particular ailment. Major ailments viz., urination (14%), cough (8.40%), cold (6.70%), stomach (5.90%), asthma (5.90%), skin infection (5%), constipation (5%), and diarrhea (4%) etc., were treated with local plant recipes. The highest CSI value was found for A. vesica (7.55) widely used in respiratory disorders and in digestive problems. RFC ranged from 0.92 to 0.15 with the maximum value obtained for R. communis (0.95). The use values ranged from 0.03 to 0.90 with the maximum use value for R. communis (0.90). A positive correlation was found between CSI and RFC (r = 0.29), and CSI and UV (r = 0.29). The JI values ranged from 7.14 to 0.14 indicating strong affinity with Samahani valley, Azad Kashmir, Pakistan. Unique species Osmunda regalis was first time reported from Pakistan with novel uses for renal and blood purifier. Fifteen percent (15%) plants contribute as fodder species consumed by local community for livestock while almost 6.7% species were utilized for timber and fuel purposes. Conclusion The ecosystem of Head Maralla provide a complex habitat for aqauatic, terrestrial, and agriculture wetland vegetation. It is suggested that conservation efforts should be made to conserve the ethnoecological knowledge of these areas and pharmacological studies should be conducted for noval drug synthesis in future.

scholarly journals The influence of environmental factors on the distribution and composition of plant species in Oued Charef dam, northeast of Algeria

2020 ◽  
Vol 22 (1) ◽  
Author(s):  
NAOUEL MOUALKI ◽  
Nadhra Sirine
Keyword(s):  
Cluster Analysis ◽  
Environmental Factors ◽  
Species Composition ◽  
Plant Species ◽  
Principal Component ◽  
Species Group ◽  
Terrestrial Species ◽  
North East ◽  
Species Groups ◽  
Ecological Species Groups

Abstract. Moualki N, Boukrouma N. 2021. The influence of environmental factors on the distribution and composition of plant species in Oued Charef dam, North East of Algeria. Biodiversitas 22: 346-353. Identification of the primary factors that influence the ecological distribution of species groups is important to managers of Oued Charef dam in northern Algeria. This study aimed to identify main ecological species groups, describe the site conditions associated with these species groups, and the relationships between environmental factors and the distribution of ecological species groups using Ward’s cluster analysis for classification and principal component analysis (PCA). For this purpose, 50 plots (200 m2 each) were sampled using the Braun- Blanquet method. Soil samples were collected and analyzed to study soil properties. Multivariate analysis methods were used to classify and determine the relationship between species composition and environmental factors and to recognize ecological species groups. The R i386 (version 4.0.3) software was used for data analyzing. Ward's cluster analysis when applied on terrestrial species data gives three groups distinctly distributed on ordination plan. In cluster groups of terrestrial species Group (1) is dominated by Daisies chrysanthemum, Group (2) by Cynodon dactylon L, and Group (3) dominated by Fumana thymifolia. The groups of terrestrial species are readily superimposed on PCA ordination plane. The most important environmental factors associated with terrestrial species composition in Oued Charef dam communities were conductivity (EC), FSA, FSI, clay, salinity, phosphorus (PO4), TN (nitrogen), nitrates (NO3), and nitrites (NO2). While among the edaphic factors only pH showed a negative correlation to plant species this may due to the anthropogenic disturbances however further studies are needed to explore the rest of parts of the said regions. This study gives important insights on ecological relationships between plant biodiversity and soil chemical in a primary wetland ecosystem in northeast of Algeria.

scholarly journals Characterization of Morphological and Fruit Quality Traits of Coconut (Cocos nucifera L.) Germplasm

HortScience ◽  
2021 ◽  
pp. 1-9
Author(s):  
Ruining Zhang ◽  
Hongxing Cao ◽  
Chengxu Sun ◽  
Jerome Jeyakumar John Martin
Keyword(s):  
Cluster Analysis ◽  
Cocos Nucifera ◽  
Principal Component ◽  
Fruit Weight ◽  
High Yield ◽  
Germplasm Resources ◽  
New Varieties ◽  
And Cluster Analysis ◽  
Cocos Nucifera L ◽  
Fruit Flavor

The evaluation and identification of germplasm resources is an indispensable step in the breeding processes and have important roles in the selection and improvement of new varieties. This research intended to characterize coconut germplasm to determine the quantitative, qualitative, and morphological traits of the stem, leaf, and inflorescence and the fruit characteristics. Sixteen morphological and qualitative traits of 17 coconut (Cocos nucifera L.) germplasm resources from Hainan, China, were investigated to determine the characteristics and advantages of multiple germplasm lines to create the foundation for the cultivation and breeding of coconuts. The results of the correlation analysis, principal component analysis (PCA), and cluster analysis indicate a correlation between coconut germplasm factors and their contribution to coconut traits. The results revealed that stem girth at 0.2 m was the most obvious trait, along with the fruit flavor, edible rate, fat content, hole spacing, single fruit weight, and number of female flowers, which reflect most of the information regarding coconut traits and contribute to its value. The PCA and cluster analysis indicated that two high-yield and superior-quality sweet water dwarf coconut germplasms, named ‘15-19’ and ‘15-17’, were suitable for cultivation and production in Hainan, China. The results of this study act a far-reaching influence on the collection and utilization of coconut resources and have an impact on the development and progress of the coconut industry in China.

scholarly journals Impact Des Caractéristiques De La Végétation Sur La Diversité D’usages Des Plantes Autour De Deux Grandes Forêts Classées Et D’une Réserve Botanique Au Sud-Bénin

2017 ◽  
Vol 13 (30) ◽  
pp. 376
Author(s):  
Avikpo Dansou Joel ◽  
Dassou Gbèwonmèdéa Hospice ◽  
Adomou Aristide Cossi ◽  
Houenon Gbèdomèdji Hurgues Aristide ◽  
Tente Brice ◽  
...  
Keyword(s):  
Plant Species ◽  
Diversity Index ◽  
Ethnobotanical Study ◽  
Use Value ◽  
Maximum Information ◽  
Data User ◽  
Zanthoxylum Zanthoxyloides ◽  
Value Diversity ◽  
The One ◽  
Southern Benin

Southern-Benin has a mosaic of ecological conditions that have contributed to the development of its vast forest heritage. The combination of a number of parameters or indices (use value, diversity index, and equitability and citation frequency) is an effective way of identifying the most important plants for preservation. The objective was to carry out the checklist of the plants used around the classified forests of Ahozon and Lama and the botanical reserve of Pobè in Southern-Benin, with information on their use, threats and relations between the targeted habitats and the listed plants on the one hand and the knowledge associated with them and the socio-professional characteristics of the populations on the other. The data (user identity, plants used, plant organs collected, uses, plant threats) were collected from 113 individuals interviewed individually during an ethnobotanical study in 20 villages distributed around the three vegetation formations. The results showed that 59 plant species are useful for the populations surrounding the formations. The most important in terms of use value are Zanthoxylum zanthoxyloides (VUT = 7.86), Irvingia gabonensis (VUT = 7.84), Dialium guineense (VUT = 7.69), Khaya senegalensis (VUT = 7.46), Prosopis africana (VUT = 7.06), Ceiba pentandra (VUT = 7.01), and Synsepalum dulcificum (VUT = 6.98). The indices of Diversity and Equitability of the respondents reveal that knowledge on plant species is not homogeneously distributed (ID = 0.430, IE = 0.451 <0.5) and maximum information on species is held by a part of the population. Pruning (40%) is the main source of species threats. Plantation, agrosystems, sensitizing populations on good methods of harvest could help to preserve the main plants useful for the populations of Southern Benin.

scholarly journals Identifying morphological diversity and superior germplasm of Citrus reticulata Blanco (Mandarin) in Sikkim and Darjeeling Himalayas, India: an application of DIVA-GIS and cluster analysis

2020 ◽  
pp. 1575-1582
Author(s):  
Subhankar Gurung ◽  
Arun Chettri ◽  
Meera Tamang ◽  
Mamta Chettri
Keyword(s):  
Cluster Analysis ◽  
Diversity Index ◽  
Principal Component ◽  
Morphological Diversity ◽  
Fruit Weight ◽  
The State ◽  
Soluble Solids ◽  
Citrus Reticulata ◽  
Fruit Diameter ◽  
Darjeeling Himalayas

Citrus reticulata is an important cash crop for the farmers in the Sikkim and Darjeeling Himalayas, India. The lack of knowledge of its diversity has only resulted in the lack of uniformity in the fruit quality. It has become imperative to identify superior varieties that meet the demands of the market to improve the citrus industry. Hence, a total of 105 accessions of mandarin were collected randomly from different locations to assess the morphological diversity using cluster analysis and DIVA-GIS. The orchards were randomly visited in each district of the state of Sikkim and two hilly districts of the state of West Bengal (WB). A sample tree was selected from each orchard and the quantitative and qualitative characters of its leaves, flowers, and fruits were measured. A significant variation was observed in the quantitative characters with a positive correlation between fruit weight and length, fruit diameter and weight, total soluble solids (TSS) /acidity and fruit diameter. The first 6 components of Principal component analysis (PCA) exhibited 69.34% of the total variation. DIVA-GIS showed the highest diversity index for fruit weight, fruit diameter and TSS/acidity in East district, Sikkim. The highest coefficient variation for fruit diameter was observed in the East district and Darjeeling district, WB and TSS/acidity and fruit weight in East district. The dendrogram generated divided the accessions into two major clusters. The grid maps generated identified diverse accessions in the East district and Darjeeling district, which can be a source of superior germplasm

scholarly journals The Impact of Soil Erosion on Biodiversity Conservation in Isiala Ngwa North LGA, Southeastern Nigeria

2019 ◽  
Vol 11 (24) ◽  
pp. 7192
Author(s):  
Godson Chinonyerem Asuoha ◽  
Uchenna Paulinus Okafor ◽  
Philip Ogbonnia Phil-Eze ◽  
Romanus Udegbunam Ayadiuno
Keyword(s):  
Soil Erosion ◽  
Plant Species ◽  
Diversity Index ◽  
Principal Component ◽  
Diversity Indices ◽  
Group Discussions ◽  
Southeastern Nigeria ◽  
Animal Diversity ◽  
The Impact ◽  
Agro Forestry

The impact of soil erosion on the conservation of biodiversity in Isiala Ngwa North LGA, Southeastern Nigeria was examined. Data were obtained through focus group discussions and plant species enumeration. Diversity indices of plant species were derived from quadrat analysis using Shannon Wiener’s diversity index. Eighteen soil samples were collected from agricultural erosion sites in the study area and analysed in the laboratory. The results obtained were analysed using principal component analysis (PCA). The rotated component matrix of the soil properties, as well as plant and animal diversity indices from the PCA isolated three components that together explained 93.821% of the observed variation. The results show that bush clearing in the form of slash and burn, uncoordinated bush burning and harvesting of plant species are the activities that cause soil erosion in the study area. Agro-forestry, bush fallowing, reforestation and legislation on indiscriminate harvesting of plant species were recommended.

Classification of Observations through Combination of the Dimension Reduction and the Cluster Analysis

2017 ◽  
Vol 7 (8) ◽  
pp. 30
Author(s):  
Hyeuk Kim
Keyword(s):  
Machine Learning ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Unsupervised Learning ◽  
Principal Component ◽  
Component Analysis ◽  
Baseball Players ◽  
Partitioning Around Medoids ◽  
Different Characteristics

Unsupervised learning in machine learning divides data into several groups. The observations in the same group have similar characteristics and the observations in the different groups have the different characteristics. In the paper, we classify data by partitioning around medoids which have some advantages over the k-means clustering. We apply it to baseball players in Korea Baseball League. We also apply the principal component analysis to data and draw the graph using two components for axis. We interpret the meaning of the clustering graphically through the procedure. The combination of the partitioning around medoids and the principal component analysis can be used to any other data and the approach makes us to figure out the characteristics easily.

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