Abstract:
The purpose of this study was to determine the extent of use of selected fish farming
technologies by fish farmers and to explore the relationship between selected
characteristics of the farmers and their use of selected fish farming technologies. The
selected characteristics were age, education, family size, fish farm size, annual fish
farming income, training received in fish farming, fish farming experience, social
mobility, and contact with extension media, organizational participation and knowledge
of farmer on fish farming . Data were gathered from proportionally and randomly
selected 93 respondents (farmers) of Niamatpur upazila under Naogaon district by using a
pretested interview schedule and the entire process of collecting data was completed in
January and February, 2020. Apart from descriptive statistical methods, Pearson's
Product Moment Correlation Co-efficient analysis was used in order to analyze the data.
Data revealed that highest portion (66.67 percent) of the fish farmers had medium use of
selected fish farming technologies, while 20.43 percent had low use and 12.90 percent
had high use of the selected fish farming technologies. So it can be said that there was
scope to increase the use of these selected fish farming technologies in the study area.
Out of eleven selected characteristics of the fish farmers, education, and fish farm size,
annual fish farming income, training received in fish farming, social mobility, extension
contact and knowledge on fish farming had positive and significant relationship with their
use of the selected fish farming technologies. On the other side, age, family size, fish
farming experience and organizational participation had no significant relationship with
the farmer's use of selected fish farming technologies. The pond owners faced such major
problems as fish diseases lack of quality feed and other chemicals, transportation
problem, high investment etc.
Description:
A Thesis
Submitted to the Faculty of Agriculture,
Sher-e-Bangla Agricultural University, Dhaka
In partial fulfilment of the requirements for the degree of
MASTER OF SCIENCE
IN
AGRICULTURAL EXTENSION AND INFORMATION SYSTEM