scholarly journals A Study on Fish Production of Different Size of Fish Farm Groups in Prayagraj District, Uttar Pradesh

2021 ◽  
pp. 1-6
Author(s):  
Ayushi Verma ◽  
. Ramchandra
Keyword(s):  
Uttar Pradesh ◽  
Fish Farm ◽  
Size Group ◽  
Fish Production ◽  
Fish Ponds ◽  
Explanatory Variables ◽  
Independent Variables ◽  
Fisheries Resources ◽  
Human Labor ◽  
Coefficient Of Elasticity

Background: Uttar Pradesh is India’s most populous state having 1662 lakh population as per 2001 census, against 16.2% of India’s population with enough fisheries resources in the form of community ponds, tanks with dominance of rivers and man-made reservoirs. Five blocks (Koraon, Shankargarh, Karchhana, Handia, and Jasara) from Prayagraj were taken for study during the period of 1st December,2020 - 31st May,2021. Aim: To examine the fish production of different size of fish farm groups. Methodology: A study was conducted in the Prayagraj district of Uttar Pradesh. A total of 80 fish farmers were selected randomly from five blocks (Koraon, Shankargarh, Karchhana, Handia, and Jasara) and a pre-structured questionnaire was used to collect the data from the fish farmers. The fish farmers were classified into three categories on the basis of the size of pond area viz. small farmer: up to 0.125 ha., medium farmer: 0.125 ha to 0.250 ha., and large farmer: above 0.250 ha. Result: The Study showed that, various independent variables of production like fingerlings, manures, feeds, and labor were being analysed in accordance with their respective sample of fish ponds and it is concluded that all of the independent variables affected the fish production differently. Using Cobb Douglas production function, 73% variation in gross value return from explanatory variables was observed in first size-group. Effect of Improved variety fingerlings was negative and coefficient of elasticity for human labor was positive but both impacted fish production significantly. A variation of 41.6% in gross value return was observed from second size group. Human labor impacted fish production significantly and its coefficient of elasticity was positive. Further, 45.7% of variation in gross value return was in third size group.  Human labor and manure both had a significant effect, and their coefficients of elasticity was positive and negative respectively. Coefficient of multiple determination  was 76.6% indicating variation in gross value return from independent variable from all farm’s situations. Pond area and human labor variables had positive coefficient of elasticity but for improved fingerlings it was negative and all effected fish production significantly. Conclusion: It was concluded that there is a need to further engage the fish farmers in the fish production practices and provide them with sufficient inputs of production like fingerlings, manures, feeds, and labor so that the farmers can boost the fish production in the study area.

Sanitation of fish farms and prevention of fish diseases by pond drying with the use of fish and grass rotation

2016 ◽  
Vol 3 (3) ◽  
pp. 380-384
Author(s):  
Наумова ◽  
A. Naumova ◽  
Наумова ◽  
A. Naumova
Keyword(s):  
Comparative Research ◽  
Silver Carp ◽  
Fish Farm ◽  
Fish Production ◽  
Fish Ponds ◽  
Fish Farms ◽  
Commercial Fish ◽  
Causative Agents ◽  
Annual Frequency ◽  
One Year

Objective of research: to present the actuality and novelty of application of fish and grass “rotation” because this allows to reveal new data on pond drainage planning which is the most effective in sanitation of the fish farm. Materials and methods: to determine the most effective cycle for the summer drying of ponds, we studied ecological and epizootological features of fishing ponds, which had been used after drying within 1 and 5 years. As research object served 8 fish ponds: 4 drained ponds under crop (40 ha), 4 — overflowed (40 ha) and filled with one-year carps (2,5-З thousand ind./ha) and silver carps (1,2-1,4 thousand ind./ha). Results and discussion: The results of comparative research on anti-epizootic efficacy of pond drying at different periodicity of 1 and 5 years with the use of fish and grass “rotation” are provided. Data on decreased invasion of fishes (carp, silver carp) by parasites, absence of causative agents of infection, improved blood indicators, increased fish production at annual pond drying (with the use of fish and grass “rotation”) compared with the pond drying of 5 year periodicity are presented. Advantages of economic efficacy of the annual frequency of pond drying are confirmed: twice increased commercial fish production; reduced expenses for purchase of food (own barley and wheat production), drugs, disinfectants, fertilizers that allow increasing economic revenue and making profit.

Prospects of Fisheries development in Ox-Bow lakes of Eastern Uttar Pradesh specially in Ballia district

2021 ◽  
Vol 27 (2) ◽  
Author(s):  
A.K. Jha ◽  
Deepak Kumar Dwivedi ◽  
D. K. Paul
Keyword(s):  
Present Article ◽  
Uttar Pradesh ◽  
Fish Production ◽  
Fish Yield ◽  
Physico Chemical ◽  
Eastern Uttar Pradesh

The present article deals with the fisheries development of three important Ox-Bow Lakes of Ballia district of eastern Uttar Pradesh in relation to physico-chemical and biological conditions. The results were found conducive for Fisheries development. The results indicate clearly that potential fish yield is not being realized from the lakes and there is immense scope for increase in Fish production.

Deciphering Links Between Sexual Violence and Castes in India

2021 ◽  
pp. 2455328X2110325
Author(s):  
Yogendra Musahar
Keyword(s):  
Regression Model ◽  
Sexual Violence ◽  
Economic Status ◽  
Family Health ◽  
Uttar Pradesh ◽  
Binary Logistic Regression ◽  
Wealth Index ◽  
Bivariate Analysis ◽  
Binary Logistic Regression Model ◽  
Explanatory Variables

The recent incident, the gang rape and murder of a 19-year-old woman in Hathras, a small village in Uttar Pradesh of India, once again sparks a debate on links between sexual violence and castes in India. This article aims to examine the links between sexual violence and castes in India. This study utilizes the national representative National Family Health Survey 4 (NFHS-4, 2015–16) data. A bivariate analysis was carried out to analyse the data. A binary logistic regression model was applied to predict the effect of explanatory variables, viz. type of place of residence, years of schooling complete, economic status in terms of wealth index and finally castes on predicted variable, i.e. sexual violence. The binary regression model indicates that there were links between sexual violence and castes. For secured and dignified life of women, caste-based sexual violence must be annihilated.

scholarly journals Determinants of Household Debt in Malaysia from the year 2010 to 2017

2019 ◽  
Vol 5 (2) ◽  
pp. 91
Author(s):  
Zahariah Mohd Zain ◽  
Nurul Ainun Ahmad Atory Ahmad Atory ◽  
Sarah Amirah Hanafi
Keyword(s):  
Positive Relationship ◽  
Negative Relationship ◽  
Housing Price ◽  
Least Square ◽  
Household Debt ◽  
Macroeconomic Variables ◽  
Explanatory Variables ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Lending Rate

Household debt has become an issue in the Malaysian economy as it affects the country socially and economically.This study aims to examine the determinants of household debt from the year 2010 until 2017. This study employs the Ordinary Least Square (OLS) method and the macroeconomic variables used in this study are Gross Domestic Product (GDP), base lending rate, unemployment and housing price as independent variables. The results indicate that the trend of household debt in Malaysia has shown a continuous rise from the year 2010 to 2017. GDP, base lending rate and housing price indicate a positive relationship towards household debt while unemployment shows a negative relationship to household debt in Malaysia. All explanatory variables have shown a significant relationship except for GDP. Housing price has been found to be the most significant factor and positively related to household debt. The findings indicate that the higher the price of houses, the higher the household debt will be.

scholarly journals Pemetaan Klasifikasi Dan Analisa Perubahan Ekosistem Mangrove Menggunakan Citra Satelit Multi Temporal Di Karimunjawa, Jepara, Indonesia

2018 ◽  
Vol 21 (2) ◽  
pp. 97
Author(s):  
Nurul Latifah ◽  
Sigit Febrianto ◽  
Hadi Endrawati ◽  
Muhammad Zainuri
Keyword(s):  
Supervised Classification ◽  
Satellite Images ◽  
Mangrove Ecosystem ◽  
Nursery Ground ◽  
Fish Ponds ◽  
Natural Phenomena ◽  
Key Factors ◽  
Marine Life ◽  
Fisheries Resources ◽  
Multi Temporal

Mapping of Classification and Analysis of Changes in Mangrove Ecosystem Using Multi-Temporal Satellite Images in Karimunjawa, Jepara, Indonesia  Mangrove ecosystem is one of the three ecosystem in the coastal area which has important ecological role in supporting marine life and fisheries resources. These important roles include spawning ground and nursery ground for various marine organisms. However, in the last decades, mangrove ecosystem has been undergoing significant degradation. The aim of this research is to quantify the changes of mangrove coverage and density in Karimunjawa as well as key-factors leading to the changes. Supervised classification method (83% accuracy and Kappa coefficient 0.73%) was applied to satellite images to identify the temporal changes in mangrove coverage. Mangrove density was quantified using NDVI algorithm and NIR-RED wavelength. The result shows that during three periods of observed data, changes in mangrove coverage were significant: 126.81 ha increase (1992 – 2003); 82.37 ha decrease (1992 – 2017); and 209.18 ha decrease (2003 – 2017). Mangrove density in most part of Karimunjawa belongs to the category of ‘low’ (NDVI value: -1 – 0.33). Key factors contributing to the decrease mangrove coverage are deforestation, natural phenomena, land conversion into fish ponds and hotels. The only increase in the year 1992 – 2003 was caused by high sedimentation level that allows more mangroves to grow. Overall, the methods in this research could be used as an approach to describe to effectively monitor the changes of mangrove coverage in an area as basic data for sustainable environmental management. Ekosistem mangrove merupakan salah satu dari tiga ekosistem pesisir yang memiliki peranan ekologis penting dalam mendukung kehidupan dan keberlangsungan dari sumberdaya perikanan.  Hal tersebut dikarenakan fungsi mangrove sebagai tempat memijah dan asuhan bagi banyak biota air. Beberapa dekade terakhir keberadaan dari ekosisitem mangrove mengalami degradasi yang sangat signifikan. Tujuan dari penelitian ini adalah untuk mengetahui perubahan luasan dan kerapatan mangrove dan mengidentifikasi faktor penyebabnya.  Metode analisa perubahan luasan mangrove menggunakan citra satelit multi temporal dengan dilakukan pembuatan klasifikasi menggunakan metode supervised classification dengan nilai akurasi total 83% dengan Kappa koefisien 0,73%.  Setelah terseleksi antara mangrove dan non mangrove maka dilakukan perhitungan kerapatan tajuk menggunakan algoritma NDVI dengan memanfaatkan panjang gelombang NIR dan RED.  Hasil analisa spasial dengan rentang 3 tahun berbeda didapatkan perubahan penurunan dan penambahan luasan mangrove terjadi secara signifikan: tahun 1992 – 2003 telah terjadi penambahan luasan sebesar 126,81 ha; tahun 1992–2017 terjadi perubahan luasan sebesar 82,37 ha;  tahun 2003–2017 terjadi perubahan luasan sebesar 209,18 ha.  Kerapatan mangrove di Karimunjawa sebagian besar tergolong kategori kerapatan jarang dengan nilai NDVI antara -1 – 0,33. Faktor utama penyebab penurunan luasan mangrove antara lain penebangan liar, faktor alam, perubahan fungsi lahan menjadi pertambakan dan perhotelan.  Penambahan luasan mangrove terjadi pada antara tahun1992 sampai 2003 hal tersebut disebabkan sedimentasi yang menumpuk di pantai dan sudah ditumbuhi oleh mangrove.  Secara keseluruhan metode ini dapat menggambarkan perubahan secara efektif serta hasilnya dapat dipergunakan untuk pemantauan dan perencanaan ekosistem mangrove di suatu wilayah. 

scholarly journals Present status, problems and prospect of fish farming at Gazipur Sadar upazila in Bangladesh

2018 ◽  
Vol 29 (1) ◽  
pp. 53-63
Author(s):  
M Das ◽  
MR Islam ◽  
T Akter ◽  
AQMR Kawser ◽  
MN Mondal
Keyword(s):  
Urban Areas ◽  
Group Discussion ◽  
Secondary Data ◽  
Open Water ◽  
Fish Farming ◽  
Primary Data ◽  
Fish Production ◽  
Fisheries Resources ◽  
Seed Supply ◽  
Farming Community

The present study was conducted to reveal the present scenario, problems and the prospect of fish farming of Gazipur Sadar upazila Bangladesh. The primary data were collected through field survey, questionnaire interview and focus group discussion from the fish farmers of several villages and urban areas of the upazila. Secondary data were collected from the Department of Fisheries and aquaculture extension section. Gazipur Sadar upazila has 14462.42 ha potential fisheries resources of which floodplains, seasonal water bodies, and ponds comprise 71.01%, 13.04%, and 8.57%, respectively. The total fish production of the upazila in 2016-17 was 14492.7 MT, 27% of the Gazipur district. The highest fish production of 5436 MT and 4.39 MT/ha/year came from the pond sector. Among different pond culture systems, the semi-intensive system had the highest fish production output (2826 MT). Exotic carps were the highest produced fish in the ponds. However, in spite of comprising a huge proportion of seasonal floodplains the fish production from this sector was only 0.42 MT/ha/year in 2016-2017. This indicates the poor utilization of inland open water resources for fish production in the study area. The major areas were identified to improve the existing pond fish farming situation were access to low-interest loan, quality seed, supply of advanced technologies, need-based training, and marketing facilities. Along with improving the pond fish farming, community-based fisheries management and some aquaculture initiatives on private own seasonal floodplains should be taken on a priority basis to improve open water management and to flourish inland fish production in the study area.Progressive Agriculture 29 (1): 53-63, 2018

scholarly journals A Regression Tree Approach for Investigating the Impact of High Speed Rail on Tourists’ Choices

2020 ◽  
Vol 12 (3) ◽  
pp. 910 ◽  
Author(s):  
Francesca Pagliara ◽  
Filomena Mauriello ◽  
Lucia Russo
Keyword(s):  
High Speed ◽  
Low Cost ◽  
Decision Rules ◽  
Regression Tree ◽  
High Speed Rail ◽  
Explanatory Variables ◽  
Independent Variables ◽  
Italian Provinces ◽  
Tree Methods ◽  
The Impact

This paper provides a contribution to the international literature by applying regression tree methods to the analysis of the expected effects of the High Speed Rail project in Italy on the tourism market. This approach, as far as the author knows, has never been applied in this context. Tourism and transport information have been gathered for 99 Italian provinces during the 2006–2016 period. Tree-structured methods have been chosen as an application of regression models in which some explanatory variables are used as covariates to predict the dependent variable values on the basis of some decision rules. This approach establishes a casual effect between dependent and independent variables. The dependent variables chosen are the Italian and foreign tourists, and the number of overnights spent by Italians and foreigners. Among the independent variables are the presence of HSR, the presence of first-level airport hubs and the number of operating bases of low-cost airlines; among the attractiveness variables are the GDP, the number of attractions in a given province, the presence of the sea, the population and the percentage of unemployment. The main outcome of this study is that HSR affects the tourism market.

Management Characteristics, Attitudes and the Decision to Export

1996 ◽  
Vol 2 (1) ◽  
pp. 1-11
Author(s):  
Norman E. Philp ◽  
Rumintha Wickramasekera
Keyword(s):  
Foreign Language ◽  
Empirical Studies ◽  
Decision Makers ◽  
Explanatory Variables ◽  
Independent Variables ◽  
Export Behaviour ◽  
Export Marketing ◽  
Food And Beverage ◽  
Binary Dependent Variable ◽  
Medium Firms

AbstractThe incessant trend towards the internationalisation of the marketplace will continue to dominate the agendas of managers of Australia's manufacturing establishments as they approach the next millennium. Empirical studies of the determinants of the firm's export marketing behaviour have been quite prolific and internationally comprehensive (Aaby and Slater 1989) and the characteristics and attitudes of the firm's main decision makers are often posed as important explanatory variables. The current study also examines the significance of managerial characteristics, commitment and attitudes towards exporting behaviour, by concentrating on a sample of firms drawn from a single industry (food and beverage processors) and with similar size and locational characteristics (small-medium firms located in regional Victoria).A logistic regression model with a binary dependent variable (ie current exporter vs non-exporter) and, initially, 19 independent variables was formulated and estimated. An optimal model utilising only six of the most significant, management-related variables was able to predict the probability of a firm being an exporter with an accuracy of over 90% . The importance of management's willingness to commit both its mind and its firm's resources to the export endeavour and its recognition of the importance of price competitiveness were significant discriminators of active export behaviour. Exporting managers were also found more likely to be tertiary educated and foreign language fluent but not necessarily any younger than their non-exporting counterparts.

scholarly journals The Regional Settlement Patterns of Immigrants to Sweden 1967-2005

2011 ◽  
pp. 115-135
Author(s):  
Daniel Rauhut ◽  
Mats Johansson
Keyword(s):  
Labour Market ◽  
Regional Distribution ◽  
Age Groups ◽  
Pull Factors ◽  
Initial Allocation ◽  
Explanatory Variables ◽  
Independent Variables ◽  
Labour Market Participation ◽  
Independent Variable ◽  
Regional Settlement

The aim of this study is to analyse the initial allocation of immigrants to Sweden 1967-2005 by age in a regional perspective. Vacancies, unemployment and labour market participation as well as geographical areas with many previous immigrants are included in the analysis as pull-factors. A multivariate cross-section OLS regression model will be used to estimate the relative initial regional distribution of immigrants in Sweden in 1967, 1975, 1990 and 2005 by age. The chosen method enables to control for a subset of explanatory variables and examine the effect of a selected independent variable when estimating the regional pull-factors to immigration. This study uses data collected from Statistics Sweden (SCB) and the National Labour Market Board (AMS). The data used is regional macro data, which does not contain information on single individuals.The overall conclusion is that previous immigrants had an impact on age groups in their initial regional settlement pattern in 1967 - 2005. Few of the other independent variables show any coefficients which are statistically separated from zero.

scholarly journals PRODUKSI IKAN UNGGUL DI LAHAN MINAPADI SECARA INTENSIF

2017 ◽  
Vol 4 (1) ◽  
pp. 26
Author(s):  
Wahyulia Cahyanti ◽  
Vitas Atmadi Prakoso ◽  
Otong Zenal Arifin ◽  
Irin Iriana Kusmini
Keyword(s):  
Culture System ◽  
Added Value ◽  
Fish Culture ◽  
Fish Production ◽  
Land Productivity ◽  
Fisheries Resources ◽  
Push Forward ◽  
Aquaculture Products ◽  
Aquaculture Development

Superior Fish Production in Intensive Paddy Cum Fish Culture         Aquaculture development in Indonesia is expected to push forward the fish farmers entrepreneurship and competitiveness of aquaculture products in a sustainable manner through improved efficiency and cooperative advantages. Development of fisheries resources in accordance with the management and the optimal use or to provide added value of the fish itself also to provide other products. One technology that can be used is through technology in paddy cum fish culture. This study aimed to improve of land productivity through superior tilapia production in paddy cum fish culture system. In general, the best results obtained in treatment A (no treatment). Productivity of rice and fish could be enhanced by applying paddy cum fish culture  system by 4 to 5.5 million or 10-15% per hectare rice field.Keywords: Minapadi, Productivity, Nila, Fertilizer ABSTRAK          Pengembangan perikanan budidaya di Indonesia ke depan diharapkan dapat  mendorong masyarakat perikanan/pembudidaya untuk meningkatkan jiwa kewirausahaan dan daya saing produk perikanan budidaya secara berkelanjutan melalui peningkatan efisiensi dan keunggulan koperatif. Pengembangan sumber daya perikanan yang sesuai dengan pengelolaan dan pemanfaatan yang optimal dan dapat memberikan nilai tambah selain dari ikannya itu sendiri juga produk lainnya. Salah satu teknologi yang dapat digunakan yaitu melalui teknologi minapadi. Penelitian ini bertujuan untukmeningkatkan produktivitas lahan melalui produksi ikan nila unggul dalam sistem minapadi. secara umum, hasil terbaik diperoleh pada perlakuan A (tanpa perlakuan). Dari hasil penelitian, didapatkan kesimpulan bahwa Ikan nila lebih baik pertumbuhannya dibanding mas.Secara umum hasil terbaik diperoleh dari lahan kontrol atau tanpa perlakuan. Produktivitas padi dan ikan dapat ditingkatkan dengan menerapkan sistem minapadi senilai 4-5,5 juta atau 10-15% tiap hektar sawah.Kata kunci : minapadi, produktifitas, Nila, pupuk

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