Water quality plays a crucial role in maintaining the health and productivity of freshwater fish populations. The present study was conducted to evaluate the occurrence of fish diseases in relation to water quality parameters in a freshwater reservoir of Mirzapur District, Uttar Pradesh, India. Seasonal sampling of water and fish was carried out during pre-monsoon, monsoon, and post-monsoon periods. Physico-chemical parameters including temperature, pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), and turbidity were analyzed following standard methods. Simultaneously, fishes were examined for the presence of common diseases such as bacterial infections, parasitic infestations, and fungal lesions. The results revealed clear seasonal variations in water quality. Water temperature ranged from 24.6°C to 30.8°C, while pH remained slightly alkaline (7.2–8.3). Dissolved oxygen values varied between 4.8 and 7.2 mg/L, with the lowest levels observed during the monsoon. BOD and COD showed increased values during the monsoon season (BOD: 3.9–6.4 mg/L; COD: 18.5–32.7 mg/L) indicating higher organic pollution. Fish disease prevalence was highest during the monsoon (28.4%) and lowest in the post-monsoon season (12.6%). Parasitic infections and bacterial gill diseases were the most frequently observed conditions. Statistical analysis showed a positive correlation between disease occurrence and increased BOD, COD, and turbidity, while dissolved oxygen exhibited a negative correlation. These findings suggest that fish diseases can serve as reliable bio-indicators of deteriorating water quality in freshwater reservoirs.
Introduction
Freshwater ecosystems provide essential ecological, economic, and social services, including water supply, fisheries, biodiversity conservation, and livelihoods. However, increasing urbanization, industrialization, agricultural runoff, and other human activities have caused significant deterioration of freshwater quality through pollution, habitat degradation, and eutrophication. Water quality parameters such as temperature, pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), and turbidity strongly influence fish health by affecting metabolism, immunity, growth, and disease resistance.
Traditional physicochemical monitoring methods provide information on environmental conditions but may not capture the long-term biological impacts of pollution. Therefore, biological indicators, particularly fish, are increasingly used to assess ecosystem health because fish integrate the effects of multiple environmental stressors over time. Fish diseases are sensitive indicators of environmental degradation, as poor water quality weakens fish immunity and increases susceptibility to bacterial, fungal, and parasitic infections.
The study highlights the importance of integrating water quality assessment with fish disease monitoring for evaluating freshwater ecosystem health. The research was conducted in a reservoir of Mirzapur District, Uttar Pradesh, India, with seasonal sampling during pre-monsoon, monsoon, and post-monsoon periods. Water quality parameters were measured, and commercially important fish species such as Labeo rohita, Catla catla, and Cirrhinus mrigala were examined for disease occurrence.
Results showed significant seasonal variations in water quality. The monsoon season exhibited the poorest environmental conditions, with increased temperature, turbidity, BOD, and COD, along with reduced dissolved oxygen levels due to runoff and organic pollution. Fish disease prevalence was highest during the monsoon (28.4%), followed by pre-monsoon (19.8%) and post-monsoon (12.6%). Common diseases included parasitic infestations, bacterial gill infections, and fungal infections.
Statistical analysis revealed strong relationships between deteriorating water quality and disease occurrence. Disease prevalence showed positive correlations with BOD, COD, and turbidity, while dissolved oxygen showed a strong negative correlation. These findings indicate that increased organic pollution and reduced oxygen availability create favourable conditions for pathogen growth and weaken fish resistance.
Overall, the study demonstrates that fish diseases can serve as effective bio-indicators of freshwater ecosystem degradation. Combining biological monitoring with conventional water quality assessment provides a more comprehensive approach for reservoir management, pollution control, fisheries sustainability, and freshwater conservation. The findings support the development of integrated biomonitoring strategies for maintaining healthy aquatic ecosystems.
Conclusion
The present study demonstrated a significant relationship between seasonal variations in water quality and the occurrence of fish diseases in a freshwater reservoir of Mirzapur District, Uttar Pradesh. The findings revealed that deterioration in physicochemical parameters, particularly reduced dissolved oxygen and elevated biochemical oxygen demand, chemical oxygen demand, and turbidity during the monsoon season, was associated with increased prevalence of bacterial, fungal, and parasitic infections in freshwater fishes. Statistical analysis further confirmed a strong positive correlation between disease prevalence and organic pollution indicators, whereas dissolved oxygen exhibited a strong negative correlation with disease occurrence. These observations indicate that fish health responds sensitively to environmental changes and reflects the cumulative impact of multiple stressors acting within aquatic ecosystems. The study therefore establishes that fish diseases can serve as reliable bio-indicators for evaluating freshwater ecosystem health and complement conventional physicochemical water quality assessment. Integrating fish disease surveillance with routine environmental monitoring can facilitate early detection of ecological degradation, support sustainable fisheries management, and contribute to the conservation of freshwater biodiversity. The findings are consistent with previous studies highlighting the usefulness of fish-based ecological assessment for monitoring aquatic ecosystem integrity (Levin et al., 2019; Argillier et al., 2012; Singh et al., 2024).
References
[1] Anastácio, P.M.; Ribeiro, F.; Capinha, C.; Banha, F.; Gama, M.; Filipe, A.F.; Rebelo, R.; Sousa, R. Non-native freshwater fauna in Portugal: A review. Sci. Total Environ. 2019, 650, 1923–1934. [Google Scholar] [CrossRef]
[2] APA; ICNF; CEF; Greenreference. Aplicação Web para o Cálculo do Índice Piscícola de Integridade Biótica para Rios Vadeáveis de Portugal Continental (F-IBIP). n.d. Available online: https://www.isa.ulisboa.pt/proj/fibip/index.php (accessed on 15 October 2024).
[3] Argillier, C.; Causse, S.; Gevrey, M.; Pédron, S.; Bertoli, J.; Brucet, S.; Emmrich, M.; Jeppesen, E.; Lauridsen, T.; Mehner, T.; et al. Development of a fish-based index to assess the eutrophication status of European lakes. Hydrobiologia 2012, 704, 193–211. [Google Scholar] [CrossRef]
[4] Beggel, S.; Pander, J.; Geist, J. Ecological Indicators for Surface Water Quality—Methodological Approaches to Fish Community Assessments in China and Germany. In Chinese Water Systems: Volume 4: Applied Water Management in China; Dohmann, M., Grambow, M., Song, Y., Wermter, P., Eds.; Springer International Publishing: Cham, Switzerland, 2022; pp. 47–67. [Google Scholar] [CrossRef]
[5] Blabolil, P.; ?íha, M.; Ricard, D.; Peterka, J.; Prchalová, M.; Vašek, M.; ?ech, M.; Frouzová, J.; J?za, T.; Muška, M.; et al. A simple fish-based approach to assess the ecological quality of freshwater reservoirs in Central Europe. Knowl. Manag. Aquat. Ecosyst. 2017, 418, 53. [Google Scholar] [CrossRef]
[6] Bobori, D.C.; Ntislidou, C.; Petriki, O.; Chronis, I.; Kagalou, I.; Lazaridou, M. Macroinvertebrate and fish communities in the watershed of a re-constructed Mediterranean water body: Link to the ecological potential. Environ. Monit. Assess. 2018, 190, 106. [Google Scholar] [CrossRef]
[7] Bonar, S.A.; Mercado-Silva, N.; Hubert, W.A.; Beard, T.D., Jr.; Dave, G.; Kube?ka, J.; Graeb, B.D.S.; Lester, N.P.; Porath, M.; Winfield, I.J. Standard Methods for Sampling Freshwater Fishes: Opportunities for International Collaboration. Fisheries 2017, 42, 150–156. [Google Scholar] [CrossRef]
[8] Brijesh Kumar Pandey, Vipin Mishra, Astha Srivastava, Anupam Dikshit, Ravikant Singh and Shashi Kant Shukla (2023) Impact of water quality and microbial diversity in survival of Catla catla fryllings. Biochem. Cell. Arch. 23, 831-838. DOI: https://doi.org/10.51470/bca.2023.23.2.831
[9] ?esonien?, L.; Šileikien?, D.; Dapkien?, M. Relationship between the Water Quality Elements of Water Bodies and the Hydrometric Parameters: Case Study in Lithuania. Water 2020, 12, 500. [Google Scholar] [CrossRef]
[10] Costa, M.J.; Almeida, P.R.; Domingos, I.M.; Costa, J.L.; Correia, M.J.; Chaves, M.L.; Teixeira, C.M. Present Status of the Main Shads’ populations in Portugal. Bull. Fr. Pêche Piscic. 2001, 362–363, 1109–1116. [Google Scholar] [CrossRef]
[11] Giakoumis, T.; Voulvoulis, N. The Transition of EU Water Policy Towards the Water Framework Directive’s Integrated River Basin Management Paradigm. Environ. Manag. 2018, 62, 819–831. [Google Scholar] [CrossRef]
[12] INAG, I.P. Critérios de Classificação do Estado das Massas de Água—Rios e Albufeiras; Ministério do Ambiente, do Ordenamento do Território e do Desenvolvimento Regional: Rua de O Século, Lisbon, 2009; Available online: https://apambiente.pt/dqa/criterios-classificacao.html (accessed on 3 December 2024).
[13] Irz, P.; Odion, M.; Argillier, C.; Pont, D. Comparison between the fish communities of lakes, reservoirs and rivers: Can natural systems help define the ecological potential of reservoirs? Aquat. Sci. 2006, 68, 109–116. [Google Scholar] [CrossRef][Green Version]
[14] Launois, L.; Veslot, J.; Irz, P.; Argillier, C. Development of a fish-based index (FBI) of biotic integrity for French lakes using the hindcasting approach. Ecol. Indic. 2011, 11, 1572–1583. [Google Scholar] [CrossRef]
[15] Levin, J.C.; Woodford, D.J.; Snow, G.C. Evaluating the effectiveness of freshwater fishes as bio-indicators for urban impacts in the Crocodile (West) catchment, South Africa. Water SA 2019, 45, 477–486. [Google Scholar] [CrossRef]
[16] Minakshee Bisen, Ravikant Singh and P. R. Yadav (2024) Impact of arsenic exposure on erythrocyte morphology and haematological parameters in Labeo rohita. Biochem. Cell. Arch. 24, 229-234. DOI: https://doi.org/10.51470/bca.2024.24.1.229
[17] Mueller, M.; Pander, J.; Knott, J.; Geist, J. Comparison of nine different methods to assess fish communities in lentic flood-plain habitats. J. Fish Biol. 2017, 91, 144–174. [Google Scholar] [CrossRef]
[18] Navarro, E.; Caputo, L.; Marcé, R.; Carol, J.; Benejam, L.; García-Berthou, E.; Armengol, J. Ecological classification of a set of Mediterranean reservoirs applying the EU Water Framework Directive: A reasonable compromise between science and management. Lake Reserv. Manag. 2009, 25, 364–376. [Google Scholar] [CrossRef]
[19] Pádua, J.; Bernardo, J.M.; Alves, M.H. Exercício De Intercalibração Em Massas De Água Fortemente Modificadas—Albufeiras, No Âmbito Da Diretiva Quadro da Água. 2005, pp. 1–14. Available online: http://www.apambiente.pt/dqa/assets/exercício-de-intercalibração-em-albufeiras.pdf (accessed on 4 February 2025).
[20] Paulovis, G.; Kováts, N.; Ferincz, Á.; Acs, A. Fish-Based Assessment of the Ecological Status of the Kis-Balaton–Balaton Reservoir–Lake System, Hungary. Int. J. Des. Nat. Ecodynamics 2012, 7, 166–172. [Google Scholar] [CrossRef]
[21] Pieckiel, P.; Koz?owski, K.; Kuczy?ski, T. Ecological Potential of Freshwater Dam Reservoirs Based on Fish Index, First Evaluation in Poland. Water 2024, 16, 2169. [Google Scholar] [CrossRef]
[22] Pinheiro, P. Impactes Ecológicos das Obras Hidráulicas Transversais e as Passagens para Peixes como Medida Mitigadora. 2009. Available online: https://naturlink.pt/print.aspx?menuid=4&cid=93897&viewall=true&print=true (accessed on 31 October 2024).
[23] Pinto, I.; Nogueira, S.; Rodrigues, S.; Formigo, N.; Antunes, S.C. Can Zooplankton Add Value to Monitoring Water Quality? A Case Study of a Meso/Eutrophic Portuguese Reservoir. Water 2023, 15, 1678. [Google Scholar] [CrossRef]
[24] Portela, A.P.; Gonçalves, J.; Cardoso, A.S.; Vaz, A.S.; de Lima, L.T.; Pinto, I.; Rodrigues, S.; Antunes, S.C.; Honrado, J. Landscape functioning in reservoir water quality prediction: Current use and predictive capacity. Ecohydrology 2024, 17, e2702. [Google Scholar] [CrossRef]
[25] Pullin, A.S.; Stewart, G.B. Guidelines for systematic review in conservation and environmental management. Conserv. Biol. 2006, 20, 1647–1656. [Google Scholar] [CrossRef]
[26] Rodrigues, S.; Pinto, I.; Formigo, N.; Antunes, S.C. Microalgae Growth Inhibition-Based Reservoirs Water Quality Assessment to Identify Ecotoxicological Risks. Water 2021, 13, 2605. [Google Scholar] [CrossRef]
[27] Santos, R.M.B.; Sanches Fernandes, L.F.; Cortes, R.M.V.; Varandas, S.G.P.; Jesus, J.J.B.; Pacheco, F.A.L. Integrative assessment of river damming impacts on aquatic fauna in a Portuguese reservoir. Sci. Total Environ. 2017, 601–602, 1108–1118. [Google Scholar] [CrossRef]
[28] Shweta Singh, Shikha Singh, B. K. Singh and Ravikant Singh (2024) Analysis of seasonal variation in surface and bottom water quality in Sai river at Pratapgarh, Uttar Pradesh. Biochem. Cell. Arch. 24, 43-49. DOI: https://doi.org/10.51470/ bca.2024.24.1.43