Data for: A sequential assessment of WSD risk factors of shrimp farming in Bangladesh: looking for a sustainable farming system
Description
Contrivance of data-set Among the aquaculture species, shrimp are more vulnerable to disease specially White Spot Disease (WSD) with complete loss of the production comparing with the other disease of crustaceans as well as of fin fish. In case of crustacean aquaculture, only the Asian shrimp farming sector have to lose USD 20 billion in last year with the lion share of Bangladesh from WSD (Davies, 2019). With the both chance of vertical and horizontal transmission of White Spot Syndrome Virus (WSSV), there is no rewarding treatment for vertical transmission where the horizontal transmission can be mitigated by taking some kind of management measures within the farming practice. Performing an in-depth digging of the literature the variables of this data-set was set which can be analyzed and make a perceive measures about the shrimp farming system and practices in Bangladesh and address the gap between describing existing practices and identifying potential WSD risk reduction practices. Potentials of the data-set This data-set can be screened by some short of statistical analysis to attain the notions of bio-security and develop relevant guidelines concerning available and easily adopted culture strategies for marginal farmers unpacking the risk factors related to WSD prevalence in shrimp farming. Action to originate the data-set This data-set was produced conducting a baseline survey of the questionnaire with 233 shrimp farmers all of whom had experienced WSD in the past years (2010 to 2017) and also within the survey time frame of this data collection based on the available official data/information of shrimp aquaculture gathered by the Department of Fisheries, Bangladesh. In Bangladesh prospect, considering the severity of WSSV prevalence this data-set was collected from three different saline zone namely low saline (Khulna), intermediate saline (Bagerhat), and saline (Satkhira) zone since these areas have been collectively termed as ‘shrimp zone’ due to considerable development of shrimp aquaculture for favorable biophysical resource, agro-climatic conditions, and connectivity of saline water with river and canals. In terms of culture systems, both extensive and semi-intensive shrimp farm was considered to produce this data-set. The variables of this data-set was selected by two sequential steps process. The first step was to build a conceptual framework based on a comprehensive literature review to frame the major domains of the explanatory variables (WSSV carrier, farm operation and stressors) with WSD prevalence as the outcome. The second step was involved applying participatory rural appraisal tools (key informant interview and focus group discussion) with shrimp farmers and other value-chain stakeholders to highlight any other potential risk factors. Having gained a suitable set of variables considered to be associated with WSD, a field survey questionnaire was then developed to collect the data from the respondents.