Nagapattinam District Research Articles

Study of physiochemical parameters and identification of zooplankton in estuary and coastal area of Mela vanjur in Nagapattinam district

Assessment of estuary and marine water quality is essential to check the suitability of a water source for the designated use. Therefore, the present study focuses on preliminary aspects of Physio-chemical parameters and identification of Zooplankton in the estuary and coastal area from Mela Vanjur, Nagapattinam, District, Tamil Nadu, India for this period of January 2023. Physico-chemical parameters like Smell, Flavour, Odour, Colour, Total Dissolved Solids, Turbidity, Temperature, Electrical Conductivity, pH, Salinity, Total alkalinity, Total hardness, Nitrite, Nitrate, NH3, Phosphate, Iron, Total Suspended Solids, COD, BOD, DO, were varied in both sample in the same month. The present study revealed that all the Physico-chemical parameters were more low, normal and high value, which may be due to the industrial effluents mixing up with the estuary. Suitable remedial measures should be taken to prevent the mixing of domestic sewage and discharge of effluent into the river to maintain the quality of the Vettar estuary. The present study revealed 15 genera of zooplankton from the estuary and marine water belonging to the four groups namely, 1. Cladocere: Daphnia sp. Ceriodaphnia sp, Alonella sp, Diaphanosoma sp, Moina sp, 2. Copepoda: Cyclops sp, Tropocyclops sp, Nauplius sp, Diaptomus sp, Heliodiaptomus sp, 3.Rotifera: Brachionus sp, Conochilus sp, Filinia sp, 4.Ostracoda: Cypris sp, Stenocypris sp. The present work provides substantial evidence that water quality analysis from Vettar estuary and marine water. From the study, it is evident that zooplankton may be a promising non-polluted depending on the ecological condition.

Identifying seawater interaction with coastal aquifers using hydrochemical and GIS for Nagapattinam district, southeast coast of India

Groundwater chemistry of the two different seasons collected between 2020–2021 from the coastal areas of Nagapattinam, Mayiladuthurai and Karaikal in Tamil Nadu state of southeast India were evaluated for seawater intrusion into coastal aquifers. Groundwater types, its classification was evaluated to know the extension of seawater intrusions into coastal aquifers using the Groundwater Quality Indices (GQI) such as GQIPiper(mix), GQIPiper(dom), fsea, GQIfsea and GQISWI. Piper diagram grouped most samples (GQIPiper(mix) and GQIPiper(dom)) in domain-II, representing Na-Cl water type, followed by domain-IV, indicating mixed Ca-Mg-Cl water for both the seasons. As measured by the saltwater Intrusion as Groundwater Quality Index (GQISWI), about 62.5 % and 37.5 % of the pre-monsoon samples showed low saltwater intrusion and moderate seawater intrusion, respectively. In the post-monsoon samples, the low saltwater intrusion increased to around 82.5 % and the moderate seawater intrusion decreased to 17.5 % of the groundwater samples. The GIS framework was used to display the geographical distribution of groundwater types as well as the delineation of vulnerable zones from seawater intrusion.

Economic and Social Impact of Farmer Producer Organiations in Thiruvarur and Nagapattinam Districts of Tamilnadu

Economic and Social Impact of Farmer Producer Organiations in Thiruvarur and Nagapattinam Districts of Tamilnadu

Insecticide resistance status and bar-codingof dengue vectors in three districts of Tamil Nadu, India.

Occurrence and distribution of vector population are crucial for entomological study in context of prevention, control and elimination of vector-borne diseases. To update some entomological aspects in three districts of Tamil Nadu state namely Kumbakonam, Nagapattinam and Thriuvarur districts, the study was undertaken. The objective of the study was to understand the prevalence of mosquitoes; to assess insecticide resistance and phylogenetic analysis of dengue vectors [Aedes (Ae.) aegypti and Ae.albopictus]. The immature stages of mosquitoes were collected from different localities by standard WHO methods marking with GPS and mapping was done using ArcGIS 10.4 software for all three districts. Insecticide resistance test was conducted using WHO susceptibility test kits. The F1 generation of female adult mosquitoes of Ae. aegypti and Ae. albopictus were exposed to DDT 4% and Malathion 5% with the control paper of Risella oil and olive oil respectively. Further, genomic DNA of individual mosquito was isolated, and the sequencingwas done through Eurofins, Bangalore, India. The FASTA sequence was analyzed and the phylogenic tree was constructed using the Maximum likelihood method in Molecular Evolutionary Genetics Analysis (MEGA) software (version 10.0). A totally 5307 specimens were collected through expanded survey in all three study areas. The collection yielded 16 species from six genera of mosquitoes. In total collection, the Ae. albopictus was the dominant species in Kumbakonam and Thiruvarur districts and Ae. aegypti was dominant in Nagapattinam district. The predominant breeding sources were discarded tyre with rainwater, plastic cups, coconut shells, aluminum vessels, sliver containers, bottles, grinding stones and earthen pots etc. The study revealed high pupal indices in all three study areas. Insecticide resistance monitoring revealed possible resistance in Ae. aegypti against DDT in all three districts whereas against Malathion, possible resistance was recorded in Kumbakonam and Nagapattinam and in Thiruvarur district, the species was found to be susceptible. Ae. albopictus showed resistance against DDT in all three districts but susceptible to Malathion. The sequences obtained for Dengue vectors showed 99% similar with Genbank. The phylogenetic tree was constructed using COI region sequences. Certainly, observed the different genetic relationship among Ae. aegypti and Ae. albopictus between the study areas. The study confirmed the presence of Ae. aegypti and Ae. albopictus in all three districts. The study further revealed that these vectors are susceptible to Malathion but resistance to DDT. The continue surveillance of dengue vector and monitoring of insecticide resistance will strengthen the control programme for appropriate vector control measurements.

A Study on Relationship between Workplace Happiness and Employee Retention among School Teachers with Reference to Nagapattinam District

Work place happiness comprises various key aspects of a work experience of an employee. It is not about just enjoying the job; It impacts employee well-being and teacher satisfaction with the profession. This study explores how Work place happiness and employee retention is related among school Teachers in Nagapattinam District .It also studies the impact Work place happiness has on Job satisfaction which ultimately influence the teachers in staying in their profession .The study examines factors such as autonomy and control, employee engagement and work-life balance, organizational climate and collaboration and innovation opportunities among teachers. Statistical analysis like correlation, regression is used to examine the relationship between the above factors and job satisfaction. `The result shows that workplace happiness and Employee retention are positively correlated. It also identifies that giving full control over classroom, promoting work life balance policies, and creating a positive working climate and innovation and collaboration opportunities are the major improvements needed in retaining teachers. This will give an overview of employee retention based on job satisfaction

Analysis of land‐based parameters and development of multi‐criteria decision support system for demarcation of potential aquaculture sites in Nagapattinam, Tamil Nadu, India

AbstractThe aim of the present study was to develop a multi‐criteria decision support system to find out possible aquaculture sites available in Nagapattinam district of Tamil Nadu, India. This study focuses on identifying possible aquaculture sites available in Nagapattinam district using remote sensing and GIS approaches. A geographical model has been developed to choose the probable aquaculture sites. The remote sensing and geographic information system techniques were applied to study the decisive parameters that play a vital role in the site suitability for aquaculture purposes. The chosen decisive parameters viz., normalized difference vegetation index, digital elevation model, soil type, normalized difference water index, land use land cover area and land surface temperature were subjected to the development of decision support system. Moreover, four different multi‐criteria decision support techniques viz., weighted overlay, analytical hierarchy process, fuzzy classified analytical hierarchy process and fuzzy classified weighted overlay were applied in the present study. The results obtained from the study rendered that the weighted overlay and the analytical hierarchy process outperforms the fuzzy classified models. The suitability ratio of analytical hierarchy process and weighted overlay methods were found to be 12.7 and 12.4 respectively. A total of 25 locations were selected and mapped in the Nagapattinam region and their accuracy was checked. The analytical hierarchy process results were obtained with an accuracy of 84%. Hence, the analytical hierarchy process provided better results than the weighted overlay technique. The study rendered that the area of 7.22% is highly suitable for aquaculture. These findings are essential for the development of sustainable aquaculture, assisting stakeholders in selecting suitable aquaculture sites that maximize productivity while minimizing environmental degradation.

Simulation of the impact of sea level rise groundwater flooding along the south-eastern coast of India

Sea-level rise affects low-lying coastal regions that jeopardize superficial infrastructure through groundwater flooding, which also impacts near-surface artificial structures, inhumed networks, and near-shore ecosystems. In the present study, groundwater flow modeling has been utilized to simulate different scenarios of sea level rise to evaluate the groundwater level changes and predict possible vulnerable zones to groundwater inundation along the coast of the Nagapattinam district. The model has been simulated for ten years (2010–2019) under the transient condition with MODFLOW-2000 engine in Visual MODFLOW. Calibration and validation of the simulated model have been performed by trial-and-error method considering groundwater heads of selected observations well data, which results in a root mean square value of 1.765 m, 0.941 as correlation coefficient, and a value of 0.687 m as the standard error. Groundwater flooding due to a 0.6 m sea level rise is forecasted to cause significant flooding, covering 23.83% of the study area. A 1.0 m rise in sea level impacts 26.2% of the study region. The sea level rise scenarios evaluate that the coastal groundwater heads will reduce as they are restricted by topography from rising landward. The present study suggests groundwater in the coastal regions is influenced by sea level rise due to climate change impacting the coastal ecosystems.

Study on Hyperspectral Reflectance of Brown Planthopper (Nilaparvata lugens) Infestation in Rice

Background: Pest management plays crucial role in yield prediction in all crops. In Rice, Brown Planthopper (BPH) plays major role in yield reduction. Pest forewarning in agriculture is the important tool and popularly used in various countries to avoid huge fertilizer and pesticide application. In this regard, Hyperspectral remote sensing gives various information about the spectral characteristics of BPH infected plants. Methods: Investigations were carried out to assess the damage of BPH infestation at the field level using a portable Hyper spectral radiometer. The farmers field at the BPH prone area of Kuttalam block, Nagapattinam district, Tamil Nadu was chosen to analyze the spectral reflectance of BPH -infected and uninfected plants and derive certain vegetation indices for accurate forewarning. The specific spectral bands from visible to infra-red (445 nm, 550 nm, 670 nm, 760 nm, 800 nm) were utilized to detect of BPH-infested plants over the field area. Result: Among various vegetation indices, the index MCARI (Modified Chlorophyll Absorption Reflectance Index) was performed well with high accuracy from early to late infestation at the field level and considered as the most effective tool in Precision Agriculture. As a result, The specific indices were analysed over BPH infected area to prevent greater spreading of pest damage and to minimize pesticides in the field.

Study on Knowledge Level of Paddy Farmers on Climate Change in Nagapattinam District of Tamil Nadu, India

This study examined the Knowledge level of Paddy farmers on Climate Change the Nagapattinam district of Tamil Nadu state in India. It is situated in the coastal area and is very often subjected to natural calamities which were mainly reflected in the Paddy cultivation to the worst status. The ex-post facto research design was used in this research study. A sample size of 200 was fixed for the study. The data were collected with the use of a well-structured and pre tested interview schedule for farmers covering all the aspects of knowledge on Climate change. The respondents’ knowledge level of climate change was measured by designing exclusively the knowledge test. The study revealed that more than half of the respondents (55.00%) had a medium level of knowledge of climate change. Nearly one-third (32.50%) of the respondents had a high level of knowledge and a lesser number of respondents (12.50%) were found to be under the category of low- level knowledge. Educational status, farming experience, contact with extension agencies, information seeking behaviour, social participation, innovativeness, risk orientation and awareness had shown positive and significant associations with paddy farmers knowledge and these variables contributed to improving the knowledge level of the Paddy farmers on climate change. They had knowledge of changes in the rainfall patterns, extreme climatic events, changes in the crop growths stages, ground water table and pest and disease outbreaks but the famers don’t have enough knowledge on climate change adaptation strategies in Paddy cultivation with respect to tackle the problem of salinity, sodicity and effects of humidity in grain filling to cope up with climate change. Hence, it is recommended that special training programmes may be frequently offered in the study area to improve the knowledge and skill of the farmers on climate change.

Physico-Chemical and Trace Metal Analysis in Groundwater of Nagapattinam Region in Nagapattinam District of Tamilnadu State

The aim of the present work is to find the quality of water in and around the Nagapattinam region and geochemical study of water and its chemical composition with qualitative and quantitatively assessed from the period of post monsoon ( January) in the year 2020. Therefore, ten underground water sample were taken from different areas in Nagapattinam region and analysed for the following qualities such as Color, odour, temperature, Electrical conductivity, total dissolved solid, Hydrogen ion Concentration, calcium, magnesium, chloride, potassium, sodium, nitrate, and sulphate and trace metals like manganese, lead, chromium, copper, iron, arsenic, cadmium and zinc. The physico chemical parameters indicate the quality of ground water varies from bore well to bore well. Higher values of any parameter in a borehole indicate that the water is not fit for drinking. Therefore, the public is advised that the groundwater source in the study area should be monitored before it is used for domestic and drinking water purposes and that the government should adopt some treatment technology in the current study regions to minimize the hardness and salinity for provide safe water to the public.

Risk Behavior of Small and Marginal Farmers in Cauvery Delta Zone, Tamil Nadu

Farmers’ risk preferences play an important role in agricultural production decisions, risk takers means the farmers who are willing to take risky decisions in farming, risk aversion means an attitude of reluctance to take risky decisions in farming. Climatic change effects all regions across the globe and causes substantial agitations that can be expected to be natural systems that have foreseeable influences on the economic systems of upland regions through both direct and indirect means. Risk preferences reflect the farmers’ personal experiences and beliefs, these preferences explain how the decision-maker assesses and react to risks. This study characterizes risk behaviour among marginal and small farmers in Cauvery Delta Zone and determines how these risk preferences affects the farmers. The study was conducted in Cauvery Delta zone of Thanjavur, Thiruvarur and Nagapattinam districts with a Sample size of 366 farmers which consists of 183 marginal and 183 small farmers was selected randomly based on proportionate random sampling method. The risk behavior was measured by the measure of risk attitude and two lottery methods viz., Eckel-Grossman and Holt-Laury based lottery method. Measure of risk attitude results shows that, 27.60 per cent of farmers were moderate risk taker followed by 24.30 per cent were risk averser and 15.00 per cent of farmers were risk taker. The Eckel and Grossman lottery method result shows CRRA (Constant Relative Risk Aversion) value was 0.38 to 0.67, which shows that marginal farmers were risk aversers and small farmers were moderate risk takers. The CRRA adapted from Holt and Laury [1] range for the maximum was 1.37 and minimum -1.71 for their choices. The majority of marginal farmers were risk aversers, the socio-economic characteristics of the farmers decides the risk preference. The risk-averse farmer this may imply risk-taking behavior that is reduced by risk aversion (resulting in on-farm risk management strategies) and a reduced demand of insurance.

Assessment of Trace Metal Pollution in Surface Sediments from Southwestern Part of Bay of Bengal, India

Abstract Twenty-nine shelf sediment samples have been collected from the Southwestern part of the Bay of Bengal in 5 transects lying offshore between the coasts of Cuddalore and Nagapattinam district, Tamil Nadu, India. Collected samples were analyzed for sediment texture, organic matter (OM), and trace metals (Fe, Cu, Co, Mn, Pb, Zn, Cr, and Ni). Sandy fractions were found to be abundant in all transects except transect 3, because of the existence of the Pichavaram estuary fed by river Vellar in the north and Coleroon in the south. Among all the trace metals, Fe is the most abundant in the sediment samples. And metals such as Co, Pb, Cr and Ni are higher than the average background values, suggesting adverse effects of human activities in polluting the marine environment. The pollution indices viz. Enrichment Factor (EF), Geoaccumulation Index (Igeo), and Contamination Factor (CF) were calculated to assess trace metal pollution. The results imply that Cu, Co, Mn, Pb, Zn, Cr, and Ni in most of the sampling sites are highly contaminated in terms of Geoaccumulation Index (Igeo). Pb, Zn and Cr are heavily contaminated, while Cu, Mn, Ni, and Co showed moderate contamination, as demonstrated by the CF values. Pearson correlation and principal component analysis (PCA), explain the combination of geogenic and anthropogenic sources contributing trace metals to the marine system.

Assessment of Credit Pattern of Small and Marginal Farmers in Cauvery Delta Zone of Tamil Nadu, India

Finance is the lifeblood of any business same way credit is the lifeblood of agriculture. Without credit, farmers cannot do farming activities. Hence the Primary Agricultural Credit Co-operative Societies provide credit to farm and non-farm activities in rural areas to improve agriculture. The adequate and timely availability of credit at reasonable rates is crucial for agricultural development. The study is based on households’ survey conducted in six blocks from three districts viz., Ammapettai and Orathanadu blocks of Thanjavur district, Needamangalam and Mannargudi blocks of Thiruvarur district, Kilvelur and Thirumarugal blocks of Nagapattinam district. Two villages from each block were selected purposively based on more area under rice cultivation. Sample size of 366 farmers which consisted of 183 marginal and 183 small farmers was selected randomly based on proportionate random sampling method. The data were statistically tabulated and analyzed by calculating simple percentages and cumulative square root frequency method for categorization. Nearly one-fourth of the farmers (24.86%) had low level of credit orientation followed by 23.50 per cent had very low level, 21.58 per cent had high level, 15.03 per cent of farmers had medium and very high level of credit orientation. The small farmers having high credit orientation than marginal farmers, the most of the small farmer’s occupational status was farming and business. They utilize credit for their farm, household and non-farm activities. More than three-fifth of the marginal farmers (63.39%) sometimes relying on individual moneylenders for their credit source followed by 45.36 per cent of small farmers sometimes rely on individual money lenders for their credit source and more than half of the farmers (54.37%). Most of the marginal and small farmers were having low to medium level of income category, they depend on banks, co-operative societies and money lenders for their credit source. Mostly they allocate equal percentage of loan for the farm and household expenses. The policy makers can make note of the utilization pattern of agricultural credit and can give directions on the lending terms and conditions.

Seasonal effluxes of microbial pollution and physiochemical assemblages along south east coast of India during southwest and northeast monsoon

Three interrelated zones were examined to analyze the trend in physicochemical and microbiological parameters assemblages especially at the southwest (premonsoon) and northeast monsoons (monsoon) in Nagapattinam district and its surroundings. To comprehend the influence and pattern of pollution at beachgoer/pilgrim/fishing ports, various coastal sites including Nagapattinam, Nagore, and Velankanni coastline spatial, were studied. A total of 30 physiochemical parameters (split into anion/cation and nutrient parameters) and fifteen microbiological parameters were examined from 76 samples belonging to estuary, intermediate, and onshore regions. It revealed that the coastal water body was radically influenced by the input of freshwater during northeast monsoon. Significantly silicate (SiO 4) was found to be higher ranges from 11.99 to 392.29 μM during northeast monsoon at estuary and intermediate zone. TN, NH3, DO and Chlorophyll-a (chl a) were increased in northeast monsoon rather than southwest monsoon at estuary and intermediate zone, whereas Chlorophyll-b (chl b), NO2, NO3, and PO4 were increased in southwest monsoon. The northeast monsoon has a higher concentration of pollution indicators in water and sediments than southwest monsoon, in the following order; TVC>TC>TV>TS>FC>FS. In order to explore the shoreline pollution condition; Nagore regions showed higher bacterial load followed by Velankanni, Nagapattinam, North Poigainallur and South Poigainallur; Additionally, for coastal transects, the bacterial load was followed by NS 0.5>NS>2B>NS E3>NC; and 0.5 displayed a immense escalation of bacterial pollution indicators. Significantly the elevated bacterial load during northeast monsoon has diffident connection with NH3, suggesting that surface waters may comprise NH3 oxidizers; with the exception of DO and TN. TN showed a positive correlation between DO and SPM, whereas TP showed a negative correlation between DO and SPM. Typically, in a principal component analysis, all microbiological parameters (except PI-Pollution Index) had high loading (above 0.90) with 36.046% of variance.

Understanding the Etiology of Chilli Fruit Rot Disease in Tamil Nadu

Background: Fruit rot is an age old destructive disease of chilli caused by complex fungal pathogens resulting in severe yield losses both at pre and post-harvest stages. Hence, this study aims to investigate the occurrence of fruit rot disease in Tamil Nadu and to identify the fungal pathogens associated with fruit rot symptoms based on morpho-molecular characters. Methods: Roving survey was conducted in various districts of Tamil Nadu to determine the prevalence of fruit rot disease and to ascertain its causative agents. The pathogens were identified based on the conidial morphology, cultural characteristics and further confirmed by Polymerase chain reaction (PCR) using ITS 1 and ITS 4 primers. Result: Maximum disease severity was documented in Dharmapuri followed by Namakkal and lowest in Nagapattinam district. Ten isolates representing two genera viz., Colletotrichum and Fusarium were recovered from fruit rot infected chilli fruits and validated by pathogenicity test. Based on the morpho-cultural characters, 2 isolates were identified as Fusarium sp., with oval/ellipsoidal microconidia and straight/curved macroconidia, 6 isolates as Colletotrichum scovillei with fusiform conidia and 2 isolates as Colletotrichum truncatum with falcate conidia. The virulent isolates were further confirmed as C. scovillei based on PCR amplification of ITS region of genomic DNA.

Markov Chain Model and its Application Yearly Rainfall Data in Nagapattinam District

Markov Chain Model and its Application Yearly Rainfall Data in Nagapattinam District

Survey and surveillance on rice false smut disease severity in Tamil Nadu and the influence of wind velocity on disease progression under field conditions

The false smut disease of rice incited by Ustilaginoidea virens is a major constraint on rice production. The main aim of the present study was to ascertain the false smut disease severity in both delta and non-delta districts of Tamil Nadu through survey and surveillance and assess the correlation between the disease severity and wind velocity for the past three years, 2019, 2020 and 2021. Moreover, the present study addressed the disease distribution pattern of false smut diseases under field conditions. The results obtained from survey results revealed that the maximum disease severity was recorded in Nagapattinam district (Nagapattinam block) with 27.45% and the minimum disease severity was recorded in the district Theni (Bodinayakanur block) with 8% in 2021. Similarly in 2019 and 2020 maximum disease severity was recorded in the following districts Thanjavur district (Orathanadu block) with 19.91% and Thanjavur district (Peravurani block) with 18.54% and the minimum disease severity was recorded in the following districts Madurai district (Madurai north block) with 4.78% and Madurai district (Usilampatti block) with 4.78% respectively. The obtained R2 values through regression analysis were 0.70, 0.79 and 0.76 in the following years, 2019, 2020 and 2021, respectively. Besides the relationship between the false smut disease development, the pattern wind direction was also assessed. By assessing the false smut disease distribution pattern under field conditions, more disease distribution was observed around the surrounding area of the paddy field as well as the diagonal path of the field which clearly revealed that wind direction influences the disease development.

Diversity of mollusca in selected coastal wetlands of Nagapattinam district in the East Coast of Tamil Nadu, Southern India

Diversity of mollusca in selected coastal wetlands of Nagapattinam district in the East Coast of Tamil Nadu, Southern India

Historical study on nagore dargah in Nagapattinam District

The paper evaluation Historical study on Nagore Dargah in Nagapattinam District” the History is the have a look at of past activities. It helps us to understand those techniques that enabled the early humans to correctly triumph over their surroundings and broaden the contemporary civilizations. It is not just a take a look at of battles and kings as is usually understood by means of a few. It is an analysis of society, financial system and cultural developments over a long length as contemplated in to be had sources. The most common a few of the buildings of the Islamic art at such places do no longer undergo high styled architecture greater particularly at the Nagore dargahs. Nagore is a town within the Nagapattinam District, Tamil Nadu, India. It is positioned about 12 km south of Karaikal and 5 km north of Nagapattinam. Nearby cities are Karaikal, Tiruvarur, and Velankanni.

Broad spectrum of bioactive compounds from halophilic actinomycetes isolated from the Kodiyakadu saltpan of Vedaranyam-India

Discovery of new novel drugs are necessitates for treat the bacterial infectious disease. Since, some potent antimicrobial compounds present in soil actinomycetes. Preliminary study was performed to isolate the halophilic actinomycetes from Kodiyakadu salt pan located in Vedaranyam, Nagapattinam District, Tamilnadu, India for promising antibiotic producing actinomycetes against gram positive pathogens- Stapylocoocus aureus, Streptococcus pneumoniae, Vibrio parahaemolyticus, Enterococus faecalis and gram negative pathogens: Escherichia coli, Salmonella typhi, Klebsiella pneumoniae and pseudomonas aeruginosa. Among the six isolates, there had only one of the strain KOA-2 showed good antibacterial activity. Potential strain was confirmed Streptomyces diastaticus accession no (OM060757) by of 16srRNA sequencing molecular profiling technique. Crude extract of KOA-2 strains shows good pathogenic activity of all pathogens and shows high activity in Vibrio parahaemolyticus (32 mm) zone of inhibition. Resazurin assay MIC value represented 0.05 and MBC value 0.312 expressed in mg ml. Crude extract are characterized by GCMS technique. The increased peak value at (16.775) followed by (22.950) retention time were identified as Carbonic acid, propargyl 2- ethylexyl ester and 1-Decane,3,4-dimethyl bioactive compounds are responsible for antibacterial activity against the bacterial pathogens. Finally, crude extracts of KOA-2 strain are characterized by FTIR, UV analysis, and the results are encouraging for biotechnological techniques.