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Relative Productivity of Mosquito Larval Habitats for Abundance and Immature stages Distribution in Relation to Physicochemical Properties in Niger State, Nigeria

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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. 
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.
 .

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