Feasibility study providing a software model to predict incidence of White Spot Syndrome Virus in shrimp ponds contributed with physical and chemical factors in Iran

The objective of this survey was to provide a software ecological model to predict the incidence of WSSV in Litopenaeus vannamei ponds of Gwater area located in southeastern of Iran. The coding and grouping of effective factors, which were involved in the occurrence of White Spot Syndrome Virus (WSSV) including temperature, salinity, oxygen, pH, ammonia, silica, pond preparation and management and water phytoplankton with the critical-to-optimal ranges had being applied.  The data were originated from a national research plan named epidemiological study of the effect of environmental and management factors affecting the incidence of WSSV of Fenneropenaeus indicus and L. vannamei. The type and quality of processes in the emergence of the effect of each exposure in the appearance of the outcome of WSSV were designed. In this design, meaningful effective factors directly contributed to the development of the process, and other factors merely assumed as complementary form of disease prognosis. It is concluded that the ecological model can shows the role of the physicochemical and management factors in incidence of WSSV in the area where the disease was already encountered with.

Feasibility study providing a software model to predict incidence of White Spot Syndrome Virus in shrimp ponds contributed with physical and chemical factors in Iran Keywords:

Litopenaeus vannamei , WSSV , Software , Ecological model