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Disease Diagnostic Tools for Health Management in Aquaculture

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Advances in Fisheries Biotechnology

Abstract

Disease diagnosis is an essential part of fish disease management and prevention. Starting from microscopic characterization and morphological descriptions, the diagnostic methods for aquatic animal pathogens have advanced to molecular characterization and probe-based diagnosis. Apart from microscopic, histological, microbiological and immunological techniques, the molecular tools ensure early detection of infectious disease and avoid severe mortalities and production losses to aquaculture. Additionally, the molecular sequencing techniques presently allow great advancement in biology and are improving diagnosis and control of pathogens by studying the complete genomes of pathogens. With the advancement in diagnostic tools, the specificity, sensitivity and speed of diagnosis have improved significantly in recent years which aids in epidemiological studies as well as in identification of causes of disease outbreaks or the presence of pathogens to prevent further spread of infectious fish diseases in aquaculture.

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Acknowledgments

Authors are thankful to ICAR-Central Inland Fisheries research Institute (ICAR-CIFRI) for ample help and support.

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Authors and Affiliations

  1. Aquatic Environmental Biotechnology and Nanotechnology (AEBN) Division, ICAR-Central Inland Fisheries Research Institute (CIFRI), Barrackpore, West Bengal, India

    Vikash Kumar, Suvra Roy, B. K. Behera & Basanta Kumar Das

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  1. Vikash Kumar
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  2. Suvra Roy
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  3. B. K. Behera
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  4. Basanta Kumar Das
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Editors and Affiliations

  1. ICAR-Directorate of Coldwater Fisheries Resources, Bhimtal, Uttarakhand, India

    Pramod Kumar Pandey

  2. Fish Genetics and Reproduction, College of Fisheries, CAU (I), Lembucherra, Tripura, India

    Janmejay Parhi

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Kumar, V., Roy, S., Behera, B.K., Das, B.K. (2021). Disease Diagnostic Tools for Health Management in Aquaculture. In: Pandey, P.K., Parhi, J. (eds) Advances in Fisheries Biotechnology. Springer, Singapore. https://doi.org/10.1007/978-981-16-3215-0_21

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