Javascript must be enabled to continue!
Relative Productivity of Mosquito Larval Habitats for Abundance and Immature stages Distribution in Relation to Physicochemical Properties in Niger State, Nigeria
View through CrossRef
Immature mosquitoes were evaluated for the productivity of the breeding habitats using field cages in Niger State. Mosquitoes were sampled weekly both outside and inside field experimental cages by dipping and emptying the cages in a bowl container and identified using microscope-guided standard morphological keys. Three genera namely, Aedes, Anopheles, and Culex, were encountered and the mean immature abundance rate (IAR), in gutters, follows decreasing order and dominated by Culex (93.16±10.79%) > Anopheles (17.79±2.23%) > Aedes (15.77±2.12 %). In swamps, Anopheles highest mean (78.04±8.00%), followed by Culex (28.13±2.55%) and Aedes(14.54±1.56%). Similarly, in large water bodies, the distribution decreases as; Anopheles (74.33±7.07%)> Culex (27.14±2.50%)>Aedes (12.91±1.30%). In terms of immature productivity rate (IPR) among the three genera, Culex had the highest mean in gutters (191.29±22.37%) followed by Anopheles in large waters and swamps (148.03±14.81% and 153.15±15.92%) while lowest was Aedes (25.57±2.42%) in large water. Furthermore, for the density of immature, 1st stage (L1) recorded the highest followed by 2nd stage (L2), followed by 3rd stage (L3), and the least was the 4th stage (L4) for IAR and IPR. For the estimation of breeding habitats, the cage sampling method is the most reliable (709.86±73.63 mosquitoes) when compared with dipping techniques that recorded 324.06±44.00 mosquitoes. Mosquito physicochemical conditions varied significantly with DO (8.83±0.40) in large water bodies; nitrate (4.57±0.55), phosphate (3.26±0.73), calcium (88.19±12.79), sulphur (28.23±2.45), potassium (10.63±0.76), chlorine (87.52±20.89) and alkalinity (187.00±26.39) in the gutters. However, a positive correlation between rainfall and mosquito species (r = 0.523 to 0.801) as well as between relative humidity and mosquitoes (r= 0.236 to 0.551, p>0.05) on mosquito populations. Only Anopheles in large water habitats was significant (0.801*, p>0.05). The findings revealed disparities in the abundance and larval habitat production rates of the mosquito genera and associated positively with some physicochemical and metrological cues. Consequently, an effective tactic must be developed for mosquito control, particularly in the most highly recognized breeding habitats.
African Journals Online (AJOL)
Title: Relative Productivity of Mosquito Larval Habitats for Abundance and Immature stages Distribution in Relation to Physicochemical Properties in Niger State, Nigeria
Description:
Immature mosquitoes were evaluated for the productivity of the breeding habitats using field cages in Niger State.
Mosquitoes were sampled weekly both outside and inside field experimental cages by dipping and emptying the cages in a bowl container and identified using microscope-guided standard morphological keys.
Three genera namely, Aedes, Anopheles, and Culex, were encountered and the mean immature abundance rate (IAR), in gutters, follows decreasing order and dominated by Culex (93.
16±10.
79%) > Anopheles (17.
79±2.
23%) > Aedes (15.
77±2.
12 %).
In swamps, Anopheles highest mean (78.
04±8.
00%), followed by Culex (28.
13±2.
55%) and Aedes(14.
54±1.
56%).
Similarly, in large water bodies, the distribution decreases as; Anopheles (74.
33±7.
07%)> Culex (27.
14±2.
50%)>Aedes (12.
91±1.
30%).
In terms of immature productivity rate (IPR) among the three genera, Culex had the highest mean in gutters (191.
29±22.
37%) followed by Anopheles in large waters and swamps (148.
03±14.
81% and 153.
15±15.
92%) while lowest was Aedes (25.
57±2.
42%) in large water.
Furthermore, for the density of immature, 1st stage (L1) recorded the highest followed by 2nd stage (L2), followed by 3rd stage (L3), and the least was the 4th stage (L4) for IAR and IPR.
For the estimation of breeding habitats, the cage sampling method is the most reliable (709.
86±73.
63 mosquitoes) when compared with dipping techniques that recorded 324.
06±44.
00 mosquitoes.
Mosquito physicochemical conditions varied significantly with DO (8.
83±0.
40) in large water bodies; nitrate (4.
57±0.
55), phosphate (3.
26±0.
73), calcium (88.
19±12.
79), sulphur (28.
23±2.
45), potassium (10.
63±0.
76), chlorine (87.
52±20.
89) and alkalinity (187.
00±26.
39) in the gutters.
However, a positive correlation between rainfall and mosquito species (r = 0.
523 to 0.
801) as well as between relative humidity and mosquitoes (r= 0.
236 to 0.
551, p>0.
05) on mosquito populations.
Only Anopheles in large water habitats was significant (0.
801*, p>0.
05).
The findings revealed disparities in the abundance and larval habitat production rates of the mosquito genera and associated positively with some physicochemical and metrological cues.
Consequently, an effective tactic must be developed for mosquito control, particularly in the most highly recognized breeding habitats.
.
Related Results
Associations between meteorological variables, vector indices and dengue hospitalizations in Can Tho, Vietnam: a field survey
Associations between meteorological variables, vector indices and dengue hospitalizations in Can Tho, Vietnam: a field survey
Abstract
Introduction
Dengue is a significant cause of morbidity and mortality in Can Tho, a province in the Mekong Delta in Vi...
Geospatial mapping of mosquito larval habitats in peri-urban areas of Kwara State, Nigeria
Geospatial mapping of mosquito larval habitats in peri-urban areas of Kwara State, Nigeria
Background: Peri-urban environments are increasingly recognized as important settings for mosquito proliferation due to rapid land-use change, heterogeneous aquatic habitats, and e...
Larval habitats of Anopheles gambiae senso lato (Diptera-Culicidae) in Anger Gute resettlement villages, western Ethiopia
Larval habitats of Anopheles gambiae senso lato (Diptera-Culicidae) in Anger Gute resettlement villages, western Ethiopia
Abstract
Background: Anger Gute is one of the national malaria surveillance Sentinel Sites in Ethiopia targeted to generate malaria data for the disease control, eliminatio...
Ecological Factors Favouring Mosquito Breeding in Akure South Metropolis, Ondo State
Ecological Factors Favouring Mosquito Breeding in Akure South Metropolis, Ondo State
Mosquitoes are major vectors of many infectious diseases, and they strongly relate their abundance to the ecological attributes of their breeding sites. With a focus on the physico...
Giant Sacrococcygeal Teratoma in Infant: Systematic Review
Giant Sacrococcygeal Teratoma in Infant: Systematic Review
Abstract
Introduction
Sacrococcygeal teratoma (SCT) is a rare embryonal tumor that occurs in the sacrococcygeal region, with an incidence of about 1 in 35,000 to 40,000 live births...
Mosquito Control and Coastal Development: How they Have Coexisted and Matured in Florida and Australia
Mosquito Control and Coastal Development: How they Have Coexisted and Matured in Florida and Australia
ABSTRACT
The aims of this review were to compare planning for both mosquito control and land use in east-central Florida, USA, and in New South Wales, Queensland, and the N...
Fish larvae abundance is related to zooplankton composition and physicochemical properties in mangrove-seagrass seascapeass seascapes of Zanzibar (Tanzania)
Fish larvae abundance is related to zooplankton composition and physicochemical properties in mangrove-seagrass seascapeass seascapes of Zanzibar (Tanzania)
Fish larvae abundance is related to zooplankton composition and physicochemical properties in mangrove-seagrass seascapes of Zanzibar (Tanzania)Barnabas Tarimo1, 2, Monika Winder1,...
Modeling the Impact of Seasonality on Mosquito Population Dynamics: Insights for Vector Control Strategies
Modeling the Impact of Seasonality on Mosquito Population Dynamics: Insights for Vector Control Strategies
Abstract
Mosquitoes are important vectors for the transmission of some major infectious diseases of humans, i.e., malaria, dengue, West Nile Virus and Zika virus. T...

