Population Structure and Some Growth Properties of Gibel Carp (<i>Carassius gibelio</i>) in a Mesotrophic Lake

Abstract

The hereby study investigated gibel carp (Carassius gibelio) in a mesotrophic lake (Lake Beyşehir, Turkey) from April 2013 to March 2014, in order to outline population structure and some growth properties of the species. Two water quality variables (Chlorophyll-a, Trophic State Index (TSI)) were detected seasonally to define trophic status of the lake. Length and weight distributions, length -weight relationship, sex ratio, gonadosomatic index (GSI), condition factor (CF) and von Bertalanffy equation were calculated for C. gibelio sampled monthly. Trophic status of the lake was defined as mesotrophic. Total length and weight of C. gibelio samples was determined in the range of 8.5 and 28.4 cm and 15 and 408 g, respectively. Mean total length and weight of individuals were calculated as 17.5 ± 2.37 cm and 88.6 ± 39.02 g, respectively. There was a negative allometry between length and weight for C. gibelio. The fish samples were composed of 52% females and 48% males, between II and VII years old. Spawning period of the species occurred between April and June after GSI values reached their maximum in March. The CF values were validated between 1.5-1.7 besides the mean rate of females and males were 1.6 and 1.5, respectively. The parameters of von Bertalanffy equation were calculated as L ∞ : 19.8 cm, W ∞ : 652.9 gr, k: 0.934. In conclusion, C. gibelio has almost lost the economic value since the individuals are smaller than market size (≥ 250 g), probably due to lack of nutrients/mesotrophic situation of Lake Beyşehir.

Study of the Water Quality of a Tropical Reservoir

“…By integrating components that define the health of reservoirs using multiparameter measurements from various perspectives, a better diagnosis is obtained in the extension of the water quality assessment. Unlike recent classical non-multiparameter studies that only evaluate the WQI, TSI, and ERI from a specific point of view [43][44][45], the proposed multiparametric study opens the gap by considering a panorama that deepens the understanding of those natural intrinsic processes or anthropogenic that impact on the quality of reservoir water over time from a global context. Due to the nulls efforts to integrate multiparameter parameter analysis tools, a series of physical, chemical, and biological parameters (Table 3) were used for the computation of WQI NSF-BROWN .…”

Determination of some biological characteristics of Prussian carp (Carassius gibelio): the example of Bafra Balik lakes (Türkiye)

“…The female-male ratio, lengthweight values and length-weight relationships determined in different studies with C. gibelio are summarized in Tables 2, 3 and 4, respectively. Eğirdir Lake 329/287 1:1.15 [30] Zegrzynski Reservoir, Vistula River (Poland) -1:0.21 [31] Eğirdir Lake 112/230 1:2.05 [19] Inland Waters of Estonia -1:0.67-0.85 [13] Ömerli Dam Lake 241/17 1:0.07 [32] İznik Lake 210/134 1:0.64 [32] Lake Pamvotis, Kalamas R., the Ionian Sea basin (Greece) -1:0.03 [14] Bafra Dam Lake 168/5 1:0.03 [33] ~ 68 ~ Beyşehir Lake 251/231 1:0.92 [34] Eğirdir Lake 823/894 1:1.09 [35] Dyje River, Morava River, Black Sea basin (Czech Rep.) -1:0.29 [36] Buldan Dam Lake 2312/13 1:0.01 [37] Topçam Dam Lake 170/2 1:0.01 [38] Lake Pamvotis (Greece) 1323/31 1:0.02 [39] Dyje River, Morava River, Black Sea basin (Czech Rep.) -1:0.26 [40] Uluabat Lake -1:0.52 [41] Uluabat Lake 419/153 1:0.37 [42] Aksu River Estuary 81/47 1:0.58 [43] İkizcetepeler Baraj Lake 374/106 1:0.28 [44] Gelingüllü Barajı 139/193 1:1.39 [45] Ladik Lake 140/10 1:0.07 [46] Seyitler Dam Lake 125/24 1:0.19 [47] Seyhan Dam Lake 142/18 1:0.13 [27] Seyhan Dam Lake 299/18 1:0.06 [48] Dyje River, Morava River, Black Sea basin (Czech Rep.) -1:0.31 [49] İznik Lake 2054/1060 1:0.51 [50] Beyşehir Lake 708/780 1:1.10 [51] Marmara Lake 809/249 1:0.31 [52] Siemianowka Reservoir, Narew R., Poland -1:0.32 [53] Ulugöl Plateau Pond 14/10 1:0.71 [54] Bafra Balık Lake 477/153 1:0.32 Present study…”

“…In studies, it is stated that female C. gibelio are more dominant in the populations of this species [25] , and this is due to the reproductive (gynogenetic) characteristics of these fish [3,26,27,28] . On the contrary, there are studies in the literature in which the male population of C. gibelio is higher [19,29,30,35,45,51] . Eğirdir Lake 342 12.8-27.3(TB) 40.12-564.19 [19] Ömerli Dam Lake 258 12.5-35.7(TB) 40.5-860.6 [32] İznik Lake 344 5.2-32.0(TB) 3.3-565.6 [32] Bafra Dam Lake 173 16.9-30.0(ÇB) 125.0-730.0 [33] Beyşehir Lake 482 9.2-26.7(TB) 14.2-492.5 [34] Eğirdir Lake 1717 7.5-33.3(TB) 8-1073 [35] Buldan Dam Lake 2325 9.7-25.5(ÇB) 23.6-269.10 [37] Uluabat Lake 572 8.1-27.3(SB) 14-111 [42] Aksu River Estuary 128 10.3-30.5(TB) 25-607 [43] İkizcetepeler Dam Lake 480 23.0-34.3(TB) 150.88-622.02 [44] Gelingüllü Dam 344 5.6-27.0(ÇB) 3.8-597 [45] Ladik Lake 155 13.4-26.5(ÇB) 58-550 [46] Seyitler Dam Lake 149 14.8-32.5(ÇB) 43.1-807.30 [47] Seyhan Dam Lake 160 11.1-29.5(TB) 40.10-412.9 [27] Seyhan Dam Lake 317 10.7-31.0(TB) 26-450 [48] İznik Lake 3114 7.8-32.2(ÇB) 5-829 [50] Beyşehir Lake 1868 8.5-28.4(TB) 14-408 [51] Seyhan Dam Lake 530 14.5-32.7(TB) 52-607.46 [54] Lake Marmara 1058 10.0-27.5(TB) 17.1-378.4 [52] Lake Marmara 56 7.59-22.85(TB) 6.36-216.6 [55] Ulugöl Plateau Pond 24 6.9-22.5(TB) 3.6-159.8 [53] Bafra Balık Lake 630 8.6-28.0(TB) 10.2-366.…”

Study of the Water Quality of a Tropical Reservoir

“…By integrating components that define the health of reservoirs using multiparameter measurements from various perspectives, a better diagnosis is obtained in the extension of the water quality assessment. Unlike recent classical non-multiparameter studies that only evaluate WQI, TSI and ERI from a specific point of view [43][44][45], the proposed multiparametric study opens the gap by considering a panorama that deepens the understanding of those natural intrinsic processes or anthropogenic that impact on the quality of reservoir water over time from a global context. Due to the nulls efforts to integrate multiparameter parameter analysis tools, a series of physical, chemical and biological parameters (Table 3) were used for the computation of WQINSF-BROWN.…”