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Research Detail

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S. Sheheli
Department of Agricultural Extension Education, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh.

K. Fatema
Department of Agricultural Extension Education, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh.

S. M. Haque
Department of Agricultural Extension Education, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh.

The study was conducted to investigate the existing status and practices of fish farming. A total of 100 farmers were interviewed by using a structured interview schedule from three villages (Porabari, Mathabari and Vabanipur) of Trishal upazila of Mymensingh district at their houses and/or farm sites during January to May 2013. Most of the farmers (89%) made profit from fish production. The study confirmed that most farmers have improved their socio-economic conditions through fish production which plays an important role in increasing income, food production and employment opportunities. Five major areas are identified to improve the existing fish farming situation, which are quality fry, credit facilities, low-cost quality feed, training, and marketing channel. The impact analysis of fish farming on livelihood of fish farmers shows that overall 64% fish farmers have increased overall livelihood from fish farming during the last four years (2010- 2013). Access to micro-credit, provide good quality input such as fry, feed, vaccines, etc., market facilities, supply of improve technologies, and provide training all lead to increased fish production. The constraints index (CI) analysis shows that overall 74% fish farmers faced medium constraints for fish farming. A total of nine (9) main constraints identified hindering their fish farming, and major constraints are high production cost, lack of technical knowledge and inadequate supply of good quality fry etc.

  Fish, Farmers, Livelihood, Bangladesh
  Trishal Upazila, Mymensingh district, Bangladesh.
  00-01-2010
  00-05-2013
  Socio-economic and Policy
  Up scalling
  1. To determine the existing status and practices of fish farming;
  2. To identify the existing constraints which hindering fish farming of the fish farmers; and
  3. To collect and formulate farmers’ suggestions to conduct fish farming for improving their livelihood.

The study was undertaken in Trishal Upazila of the Mymensingh district in north-central Bangladesh. Trishal was selected as it is an important area for fish farming due to the availability of fish fry, favorable resources and climatic conditions, such as the availability of ponds and low lying agricultural land, warm climate, fertile soil, and cheap and abundant labor. The maximum number of farmers made fish farming in Trishal. Data were collected for five months from January to May 2013. Questionnaire interviews with fish farmers were preceded by preparation and testing of the questionnaire, use of statistical procedures to determine the sample size and sampling method. A total of 100 farmers were interviewed from three villages (Porabari, Mathabari and Vabanipur) of Trishal Upazila at their houses and/or farm sites. The interviews, lasting about two hours, focused on fish production systems, productivity, impact of fish farming on their livelihood and constraints of fish farming etc. These are: year of fish farm establishment and its’ possession, experience of technical assistance and training, prestocking management, use of chemicals, cultured species and stocking density, feed for fish farming, occurrence of disease outbreak, harvesting and marketing of fish, yield from fish farming, annual income, savings and credit, and impact of fish farming on their livelihood. Nine potential constraints, related to economic, social and technical aspects were selected based on the results of the pre-test. Fish farmers were asked to indicate their response for each constraint on a four-point scale where 3 assigned for ‘severe’, 2 for ‘significant’, 1 for ‘insignificant’ and 0 for ‘not at all’. As 9 constraints were considered, the possible score for constraint in fish farming of a fish farmer could vary from 0 to 27. Finally, a constraint index (CI) was calculated for ranking the constraint as follows: Constraint Index (CI) = C3×3 + C2×2 + C1×1 + C0×0 Where, C3 = frequency of fish farmer faced ‘severe’ constraints to conduct fish farming; C2 = frequency of fish farmer faced ‘significant’ constraints to conduct fish farming; C1 = frequency of fish farmer faced ‘insignificant’ constraints to conduct fish farming; and C0 = frequency of fish farmer faced ‘not at all’ constraints to conduct fish farming. Constraint index (CI) could range from 0 to 300 where ‘0’ indicate lowest constraint and ‘300’ indicate highest constraint faced by fish farmer to conduct fish farming.

  Progress. Agric. 24(1 & 2): 191 – 201, 2013 ISSN 1017-8139
  
Funding Source:
  

The impact analysis of fish farming on livelihood of fish farmers shows that overall 64% fish farmers have increased overall livelihood from fish farming during the last four years (2010- 2013). Access to micro-credit, provide good quality input such as fry, feed, vaccines, etc., market facilities, supply of improve technologies, and provide training all lead to increased fish production. The constraints index (CI) analysis shows that overall 74% fish farmers faced medium constraints for fish farming. A total of nine (9) main constraints identified hindering their fish farming, and major constraints are high production cost, lack of technical knowledge and inadequate supply of good quality fry etc.

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