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@article{193088,
        author = {Randhir Kumar Singh and Dr. Mohammad Waseem},
        title = {A regional assessment of water quality and fish health via Biofloc Technology for rohu culture in Chapra District},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {3618-3627},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193088},
        abstract = {There are several problems in aquaculture of chapra district like water management, fish health, and production efficiency. Biofloc technology (BFT) emerged as an efficient and economical viable option for improving water quality and promoting fish development via recycling nutreints within the culture environment. To assess the water quality and fish health via Biofloc technology. The study conducted in two groups : the biofloc system and the traditional system. Various evaluating parameters were used i.e, specific growth rate (SGR), feed conversion ratio (FCR) and survival rate. The hematological parameters (WBC count, RBC count, hemoglobin and hematoocrit) were also examined. The biofloc system produced superior outcomes, significantly exceeding the old method in weight increase (133.1g), specific growth rate (SGR) at 1.82% per day, and survival rate (92.5%), while demonstrating a lower feed conversion ratio (FCR) of 1.30. Enhanced physiological profiles were seen in the hematological parameters of aqua-cultured fish in biofloc, with elevated levels of WBC, hemoglobin, RBC, and hematocrit. Throughout the cultivation period in the Biofloc system, the water quality remained within ideal parameters. The authors assert that Biofloc Technology significantly improves water quality, fish growth, feed conversion efficiency, and overall health in rohu aquaculture. The implementation of first-generation aquaculture in Chapra area would serve as an effective and ecologically friendly alternative to conventional fish farming practices.},
        keywords = {},
        month = {February},
        }