Appraisal of Fish Health Assessment Index in Three Major Reservoirs in Ekiti State, Southwest Nigeria

Increased anthropogenic activities and chemical contaminants in Ekiti State reservoirs have substantial effects on the reservoirs’ fish, which are valuable indicators of the health of the aquatic environments. The aim of the study was comparatively assessing the probable environmental deterioration in Egbe, Ero and Ureje reservoirs using the fish Health Assessment Index (HAI). Blood component analysis, necropsy data, and parasite index were used to compute HAI. Haematocrit values were not within the normal range in 78.85% (Ureje reservoir), 73.47% (Egbe reservoir), 57.38% (Ero reservoir), and endoparasite were present in 32.69%, 26.53% and 44.26% of fish examined from Ureje, Egbe, Ero reservoirs. Abnormalities of eyes, fins, skin, and liver were observed in a small proportion in the fish from the reservoirs. HAI of Oreochromis niloticus in the reservoirs was in order of Ureje reservoir (31.15 ± 2.81) > Egbe reservoir (29.39 ± 2.57) > Ero reservoir (25.00 ± 2.43). Condition factor of fish was in order of Ero (2.07 ± 0.03) > Egbe (1.98 ± 0.01) > Ureje (1.97 ± 0.01). In comparison to control site, reservoirs’ fish were in deplorable conditions as evidenced by HAI. Therefore, HAI is useful as an early indicator of the well-being of the aquatic ecosystems, in order to enhance the sustainability of the aquatic resources and also to compare the health status of fish from different aquatic environments.

Authors

Publication Details

Journal
ASM Science Journal
Published
2024-12-10
DOI
https://doi.org/10.32802/asmscj.2023.1461
Primary Topic
Fish Biology and Ecology Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Appraisal of Fish Health Assessment Index in Three Major Reservoirs in Ekiti State, Southwest Nigeria

Olufemi D. Owolabi, PETER Taiwo OLAGBEMIDE
ASM Science Journal
Fish Biology and Ecology Studies
article

Appraisal of Fish Health Assessment Index in Three Major Reservoirs in Ekiti State, Southwest Nigeria

Olufemi D. Owolabi, PETER Taiwo OLAGBEMIDE
article en

Abstract

Increased anthropogenic activities and chemical contaminants in Ekiti State reservoirs have substantial effects on the reservoirs’ fish, which are valuable indicators of the health of the aquatic environments. The aim of the study was comparatively assessing the probable environmental deterioration in Egbe, Ero and Ureje reservoirs using the fish Health Assessment Index (HAI). Blood component analysis, necropsy data, and parasite index were used to compute HAI. Haematocrit values were not within the normal range in 78.85% (Ureje reservoir), 73.47% (Egbe reservoir), 57.38% (Ero reservoir), and endoparasite were present in 32.69%, 26.53% and 44.26% of fish examined from Ureje, Egbe, Ero reservoirs. Abnormalities of eyes, fins, skin, and liver were observed in a small proportion in the fish from the reservoirs. HAI of Oreochromis niloticus in the reservoirs was in order of Ureje reservoir (31.15 ± 2.81) > Egbe reservoir (29.39 ± 2.57) > Ero reservoir (25.00 ± 2.43). Condition factor of fish was in order of Ero (2.07 ± 0.03) > Egbe (1.98 ± 0.01) > Ureje (1.97 ± 0.01). In comparison to control site, reservoirs’ fish were in deplorable conditions as evidenced by HAI. Therefore, HAI is useful as an early indicator of the well-being of the aquatic ecosystems, in order to enhance the sustainability of the aquatic resources and also to compare the health status of fish from different aquatic environments.

ASM Science JournalVol. 19
Life in Land
Openalex Percentile: Top 79%
Fish Biology and Ecology Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.