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Growth and length–weight relationships of Pseudorasbora parva (Temminck & Schlegel, 1846) in Hirfanlı Dam Lake: Comparison with traditional and artificial neural networks approaches
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S. Benzer *1   , R. Benzer2 |
1- Gazi University , sbenzer@gazi.edu.tr
2- National Defense University |
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Abstract: (3018 Views) |
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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| Keywords: Growth, Artificial neural networks, Length weight relations, Topmouth gudgeon. |
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Full-Text [PDF 581 kb]
(2172 Downloads)
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Type of Study: Orginal research papers |
Subject:
Ecology
ePublished: 2020/05/1
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