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:: دوره 19، شماره 3 - ( 1399 ) ::
جلد 19 شماره 3 صفحات 1098-1110 برگشت به فهرست نسخه ها
Growth and length–weight relationships of Pseudorasbora parva (Temminck & Schlegel, 1846) in Hirfanlı Dam Lake: Comparison with traditional and artificial neural networks approaches
چکیده:   (1017 مشاهده)
The present study was carried out to assess the population structure and growth with length weight relations, von Bertalanffy equations and artificial neural networks (ANNs) of topmouth gudgeon fish, between May 2015 and May 2016, in the Hirfanlı Dam Lake. The age of topmouth gudgeon caught from the Hirfanlı Dam Lake ranged between I to V years. The von Bertalanffy growth function growth coefficient k was 0.5 and asymptotic length L was 9.13 mm fork length (FL). The weight-length relationship is given by the regression equation W=0.01275334×L3.0005 for all individual. Growth equations in length (mm) and weight (g g) are: Lt = 9.13 [1–e–0.380 (t + 0.5)] and Wt = 10.36 [1–e–0.380 (t + 0.5)]3.0005 for all individual. Minimum and maximum sizes was were 2.7 and 9.2 cm FL for all individuals. Here, we examine the growth properties (length and weight) of topmouth gudgeon by modern (artificial neural networks) and traditional approaches (Length weight Relations and von Bertalanffy growth model) in the Hirfanlı Dam Lake. This study presents the first LWR, von Bertalanffy and ANNs references for this species in the Hirfanlı Dam Lake.
 
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نوع مطالعه: پژوهشي | موضوع مقاله: Ecology
دریافت: 1396/9/13 | پذیرش: 1397/4/26 | انتشار: 1399/2/12
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Benzer S, Benzer R. Growth and length–weight relationships of Pseudorasbora parva (Temminck & Schlegel, 1846) in Hirfanlı Dam Lake: Comparison with traditional and artificial neural networks approaches. IJFS. 2020; 19 (3) :1098-1110
URL: http://jifro.ir/article-1-3054-fa.html

Growth and length–weight relationships of Pseudorasbora parva (Temminck & Schlegel, 1846) in Hirfanlı Dam Lake: Comparison with traditional and artificial neural networks approaches. مجله علوم شیلاتی ایران. 1399; 19 (3) :1098-1110

URL: http://jifro.ir/article-1-3054-fa.html



دوره 19، شماره 3 - ( 1399 ) برگشت به فهرست نسخه ها
Iranian Journal of Fisheries Sciences Iranian Journal of Fisheries Sciences
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