Brackish Water Farming Case Study

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Factors Associated With the Knowledge Level of BFDA Farmers about Improved Brackish Water Farming Practices TANUSHREE MAITI, S.S.DANA* AND U.K.BANDYAPADHYA Dept. of Fishery Extension Faculty of Fishery Sciences, W.B.U.A.F.S. Chakgaria, Panchasayar, Kol-94 *Correspondence Author: danashyamsundar@gmail.com, Mobile No.- 9231658017 ABSTRACT: Brackish Water Fish Farmers Development Agency (B.F.D.A), as a Nodal Agency at district level was set up in the year 1983-84 with adream of popularization of modern brackish water farming technique to the poor rural farmers in the light of their socio-economic conditions. Knowledge is considered as a critical input for improving the brackish water farming. Keeping these facts in mind, the presentstudy…show more content…
Out of these 25 blocks, 16 blocks are brackish water blocks. Now from 16 blocks, 6 blocks were selected by simple random sampling without replacement technique. The selected blocks were Nandakumar, Chandipur, Contai-I, Contai-III, Nandigram-I and Nandigram-II. From each block 2 gram panchayats were selected by simple random sampling without replacement technique. Thus total 12 gram panchayats were selected for the study. From each gram panchayat, 10 farmers were selected by simple random sampling without replacement techniques. Thus total 120 farmers constituted the sample of the study.So multistage random sampling was used for selection of sample. Ex-post-facto research design was utilized for conducting the study…show more content…
Out of 25 variables studied, family type, education, occupation, mass media participation, stocking density, farming responsibility, BFDA assistance, frequency of technical advice, perception about BFDA and usefulness of technical advice were found to have significant correlation with knowledge level of the farmers and remaining variables likeage, family size, caste, religion,farming experience, land holding, annual expenditure, annual income, marketing behavior, selling price, extension agency contact, water source, average water depth of pond, culture period and production were not significantly correlated.It is also clear from the table that among the socio-personal variables, education was significantly correlated with the knowledge level of respondents at 1% level of probability,whereas family type was correlated at 5% level of probability.With regard to socio-economic variables, only occupation was significantly correlated at 5% level of probability.Regarding communicational variables, it is a striking feature that, only mass media participation was significantly correlated with the knowledge level of the farmers at 5% level of probability, whereas extension agency contact was not significantly correlated with the knowledge level of the farmers.It is also observed that among the situational variables, stocking
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