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- MakaleAçık Erişim2024Scopus SJRQ3Performance of artificial neural networks and traditional methods in determining selected growth parameters of Alburnus sellal Heckel, 1843
Ozcan, Ebru Ifakat
In this study, predictions were made on the growth performance of Alburnus sellal Heckel, 1843 from the Munzur River using back propagation artificial neural networks and ANN algorithms. Statistical growth models used in fish biology and results obtained from artificial neural networks were compared. A total of 239 samples were used in this comparison. It was determined that the population is distributed across age groups 0–VII. The relationship between length and weight was calculated as W = 0.0046L3.198 for all individuals. The von Bertalanffy growth parameters were calculated for all individuals: Lt = 21.93 [1 – e–0.158 (t + 2.11)]; Wt = 102.29 [1 – e–0.158 (t + 2.11)]3.198. The growth performance index (Ф’) value was 1.880 for all individuals. The condition factor varied between 0.479 and 1.115 for females and between 0.533 and 1.076 for males. The Mean Absolute Percent Error (MAPE) statistic was used, which is a widely used method to measure the accuracy of the predictions made. It was determined that ANNs MAPE (%) values were better than MAPE values calculated for the length–weight relationship and von Bertalanffy growth function models for A. sellal. This study shows that ANNs can be used as an alternative useful method for predicting population parameters. ANN models are therefore an effective tool to describe fish growth parameters. They have been found to be a useful predictive tool. The developed models can be used to predict future sustainable fish management.
AtıfScopus2WoS3OpenAlex1
İncele - MakaleAçık Erişim2020Scopus SJRQ3Age and growth of the lessepsian migrant lagocephalus spadiceus (Actinopterygii: Tetraodontiformes: Tetraodontidae) from the gulf of iskenderun, north-eastern mediterranean, turkey
Başusta, Asiye; Başusta, Nuri; Ozcan, Ebru Ifakat; Girgin, Hülya
Background. The population of Lagocephalus spadiceus (Richardson, 1845), one of the Lessepsian species that migrated from the Red Sea to the Mediterranean Sea through the Suez Canal, has been growing rapidly in Turkey in recent years. This situation poses a serious danger to fisheries and human health. There is little information about the biology of this species. The presently reported study permits a greater understanding of the age and growth characteristics of the pufferfish L. spadiceus from the Gulf of Iskenderun, north-eastern Mediterranean. Materials and methods. Samples were captured by commercial bottom trawlers at depths of 24–50 m during 9 trawling operations conducted during the fishing seasons between 2012 and 2013 in the Gulf of Iskenderun, northeastern Mediterranean. Age determinations were carried out using vertebrae. Images of vertebrae suitable for age determination were obtained with a dissecting microscope. The index of the mean percentage error (IMPE) was calculated to assess the precision of the age determinations between two independent readers. Growth parameters for all individuals were then determined by fitting observed and length-at-age data using the von Bertalanffy growth equation. In addition, the condition factor (CF) was determined. Results. A total of 1116 specimens (529 females and 587 males) were sampled, ranging from 6.7 to 34.0 cm in total length and from 4.30 to 557.64 g in weight. The female-to-male ratio was 1:1.1. Age determination was conducted using vertebral band counts. The age of the examined specimens ranged from 0 to 10 years. One female individual was determined to be 17 years of age (45.6 cm and 1269.0 g). The von Bertalanffy growth equations were Lt = 47.21[1 – e–0.116(t+ 2.04)] and Wt = 1296.18 [1 – e–0.116(t+ 2.04)]2.846 for females, Lt = 46.36 [1 – e–0.133(t+ 1.76)] and Wt = 1381.86 [1 – e–0.133(t+ 1.76)]2.817 for males and Lt = 46.90 [1 – e–0.120(t+ 1.97)] and Wt = 1345.67 [1 – e–0.120(t+ 1.97)]2.831 for all individuals. The growth performance index (Ф´) value was calculated as 2.421 for all individuals. The condition factor ranged from 0.890 to 2.768 for females and from 0.899 to 2.767 for males. Conclusions. It is very important to investigate L. spadiceus, an invasive species, in order to prevent its harmful effects on fisheries and human health. As this study is the first study on the age and growth of L. spadiceus in the northeastern Mediterranean, it will significantly contribute to future ecosystem conservation and management strategies.
AtıfScopus6WoS5OpenAlex6İncele - MakaleAçık Erişim2020Scopus SJRQ3Age and growth of the phaeton dragonet, Synchiropus phaeton (Actinopterygii: Perciformes: Callionymidae), from the gulf of iskenderun, north-eastern mediterranean, Turkey
Başusta, Asiye; Ozcan, Ebru İfakat; Başusta, Nuri
Background. Synchiropus phaeton (Günther, 1861) is a sexually dimorphic, benthic species that inhabits mud bottoms. This fish is one of the important by catch species in the trawl fishing. There is no commercial value. But it has ecological importance in this area. The information about the biology of S. phaeton is very limited. This study was conducted to investigate the age and growth relation of phaeton dragonet inhabiting the Gulf of Iskenderun, north-eastern Mediterranean coast of Turkey. Materials and methods. A total of 289 phaeton dragonets were collected as discards during the commercial trawl fishing at the depth range of 100–150 m in the Gulf of Iskenderun, north-eastern Mediterranean. The fish age was determined from sagittal otoliths. The age readings were performed using Leica S8APO microscope and were documented with the Leica Application Suite (Ver. 4.8.0) software. The index of the mean percentage error (IMPE) was calculated to assess the precision of the age determination between two independent readers. Growth parameters for all specimens were subsequently determined by fitting the observed and the length-at-age data using the von Bertalanffy growth equations. Total length–weight relations (LWRs) and the condition factor (CF) were determined. Results. The total length and weight of S. phaeton ranged from 7.0 to 19.0 cm and from 2.01 to 22.0 g, respectively. The age of the studied individuals ranged from 2 to 7 years. The parameters of von Bertalanffy growth fitted to the mean observed total lengths-at age for each sex separately and were estimated as L∞ = 23.358 cm, K = 0.248 year–1, t0 = –0.501 years for females and L∞ = 26.543 cm, K = 0.156 year–1, t0 = –0.662 years for males, respectively. The overall growth performance index (G) value was determined as 3.46 for the combined sexes. The total length– weight relations were determined as W = 0.0121TL2.55, R² = 0.94; 95% confidence intervals of b = 2.395–2.687, t-test P < 0.05 for females and W = 0.0094TL2.64,R2 = 0.93; 95% confidence intervals of b = 2.470–2.803, t-test P < 0.05 for males. The types of growth were found negatively allometric (b < 3). The highest condition factor was found at the age of 2 (0.62), while the lowest was found at the age of 6 (0.26). Conclusions. The presently reported study provides the first data on the age and growth of the S. phaeton that had not been studied previously in the Gulf of Iskenderun, north-eastern Mediterranean of Turkey. This study will contribute significantly to the conservation and management strategies of the species of S. phaeton in the future.
AtıfScopus2WoS2OpenAlex2İncele - MakaleYalnız künye2019Scopus SJRQ4Evaluation of a new computer method (ANNs) and traditional methods (LWRS and VBGF) in the calculation of some growth parameters of two cyprinid species
Ozcan, Ebru Ifakat; Serdar, Osman
Artificial Neural Networks (ANNs) are a very reliable computer program used in many areas such as growth parameters. The aim of this study to compare the growth estimates of tigris scraper (Capoeta umbla (Heckel, 1843)) and kura barbel (Barbus lacerta (Heckel, 1843) captured from Karasu River (East Anatolia, Turkey) between 2014 and 2016. The age groups were 0-9 for C. umbla and 0-8 for B. lacerta. The estimated parameters of von Bertalanffy growth equations were as L' =51.96 cm, W' 804.16 g, k=0.092 year-1, t0=-1.763 year for C. umbla and L' 32.23 FP, W' 435.87 J, k 0.127\HDU-1, t0-2.489 for B. lacerta. The growth performance index (Y) value was comput-ed as 2.395 for C. umbla and 2.120 for B. lacerta. The length and weight relationships for two fish species were as follows: W=0.0092L3.05 (R²=0.98) and W=0.0095L3.07 (R2=0.98). The growth of these two cyprinid species were isometric growth. A ANNs model is a interdepented system containing many neurons. There are three different layers in a neural network (input, hidden and output layers). Data enters (length/weight, age, sex) at the inputs and passes along the network, by layer, till it reach-es at the outputs (weight/length). MATLAB Ver R2016a (Neural Network Toolbox) was used for ANNs estimatings. MAPE (%) equation was used to compare ANNs and other methods. According to the comparison of the results obtained with MAPE (%), ANNs provide better results than the LWRs and VBGF. The results of this study could give useful insight that ANNs can be evaluated as an alternative for growth prediction.
AtıfScopus9İncele - MakaleYalnız künye2011Scopus SJRQ2EFFECTS OF ZEOLITE (Clinoptilolite) ON SOME WATER AND GROWTH PARAMETERS OF RAINBOW TROUT (Oncorhynchus mykiss WALBAUM, 1792)
Danabas, Durali; Altun, Tulay
The effects of zeolite (Clinoptilolite (CL)) added into pond water, on some water and growth parameters of rainbow trout (Oncorhynchus mykiss Walbaum, 1792), were investigated, in the present study. CL was added into water by 0 (control), 1, 2, 3 mg l(-1) rates and carried out in 100 days. The results of the study showed that average body weights of fish in group were respectively, 128.242 +/- 4.748 g, 126.623 +/- 5.545 g, 126.349 +/- 0.339 g and 126.556 +/- 7.663 g and average total lengths were 21.870 +/- 0.355 cm, 21.340 +/- 0.341 cm, 21.783 +/- 0.255 cm and 21.191 +/- 0.193 cm. However, there was no statistical difference among groups for all parameters (P>0.05). At the end of the study, there was no statistical difference among groups for water parameters (P>0.05), but an obvious decreasing was observed in nitrate rates during study and in ammonium and nitrite rates during only first period.
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