This research is aimed to find suitable salinity for growth and survival rate of black tiger shrimp postlarvae using biofloc technology. The experiment is in a completely randomized design with three replications of five treatments which are salinity of 5, 10, 15, 20 and 25‰. Molasses was used to create biofloc with the ratio of C:N = 10:1, nursery tanks with a volume of 500 litres, shrimp density of 600 shrimp/m 3 . During the 30-day rearing period, the environmental parameters, bacterial density, bioflocs were in the suitable range for shrimp growth and development. Shrimp in the treatment of 15‰ had the highest weight (0.38 ± 0.01 g), which was significnatly different (p>0.05) to the treatment of 5 and 25‰ but not to other treatments. Survival rate (95.5±2.1%) and productivity (573±13 shrimp/m 3 ) of shrimp at the treatment of 15‰ was a statistically significant difference (p <0.05) compared to the treatment of 5‰, but the difference was not statistically significant (p> 0.05) compared to the remaining treatments. The results showed that the nursing of black tiger shrimp based on biofloc technology at the salinity from 10 to 20‰ obtained good results.
Brackish water shrimp culture has recently been considered a key industry of the Mekong Delta region. However, during the value chain from input to output, the chain actors have to face many difficulties, they are unable to increase the added value for the whole chain and the output do not meet the export requirements to the fastidious markets. Therefore, this study focuses on analyzing macro and micro factors impacting shrimp industry in the the Mekong Delta region through the use of analytical tools such as Porter's five forces, PEST model, and SWOT analysis to propose a system of solutions to upgrade the shrimp value chain in the the Mekong Delta region. Four solutions were proposed to develop the shrimp industry in the the Mekong Delta region, including (1) investing and creating jobss, (2) improving distribution channels, (3) improving/innovating products, and (4) cutting production costs.
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