Redirecting to http://dergipark.org.tr/_fragment?_hash=HwhtEF1P8Lui-tG5wx1KLsEJKkK2A2bIWAg30N3sw2I&_path=id%3D1014573%26_format%3Dhtml%26_locale%3Den%26_controller%3DApp%255CController%255CSite%255CArticleController%253A%253AesiArticleStats.
Research Article
BibTex RIS Cite

Investigation of the Relationship between Body Length and Live Weight of the Pikeperch (Sander Lucioperca Linnaeus, 1758) in Beyşehir Lake Population

Year 2023, Volume: 26 Issue: 2, 430 - 436, 30.04.2023

Yasin Altay , Nazire Mıkaıl , İbrahim Aytekin

https://doi.org/10.18016/ksutarimdoga.vi.1014573

Abstract

The aim of this study is to examine the relationship between the total length and standard lengths with live weight of the freshwater pikeperch growing in the Beyşehir Lake population using four mathematical models. 50 female fish materials of marketable size limit age were used. The data obtained were divided into two groups: estimation (70%) and test (30%). The applied models are exponential decay, exponential and Wood models, and in such research generally preferred power model. R2, R2adj, RMSE, AIC, BIC and MAPE values were used as goodness of fit tests and comparison criteria of the models. According to the study results, the total length gives more accurate estimates than a standard length in the estimating live weight. As a result, it was concluded that other models might provide better results than the power model, and they were suggested to be used in estimating the live weight of pikeperch fish.

Keywords

Mathematical models Total length Fish Standard length Pikeperch

References

  • Anderson, R. O., & Neumann, R.M. (1996). Length, weight, and associated structural indices. In: BR. Murphy, D. W. Willis (Eds.), Fisheries techniques, 2nd edition. American Fisheries Society, Bethesda, Maryland, 447-481.
  • Anonymous, (2008). Ministry of agriculture and rural affairs official newspaper publication no: 2/2 of the communiqué regulating fishing for amateur (sportive) purposes (Notification no: 2008/49).
  • Archontoulis, S. V., & Miguez F.E. (2015). Nonlinear regression models and applications in agricultural research. Agronomy Journal, 107(2), 786-798. https://doi.org/10.2134/agronj2012.0506
  • Burnham, K. P., & Anderson, D.R. (2002). Model selection and multimodel inference: a practical information-theoretic approach, 2nd edition New York: Springer.
  • Çınar, Ş., Çubuk, H., Tümgelir, L., & Çetinkaya, S. (2006). Growth characteristics of the sudak population (Sander lucioperca Linnaeus, 1758) in lake Beyşehir. 1st International Beyşehir and Region Symposium, Beyşehir / Konya, 11-13 May 2006, 710-717.
  • Daniela, G., Giuseppe, M., Laura, P., Stefano, P., & Massimo, L. (2015). Length-length, length-weight and a proposed standard weight equation for the Italian endemic species Barbus tyberinus Bonaparte, 1839. Turkish Journal of Fisheries and Aquatic Sciences, 15(1), 191-196.
  • Fisher, S. J., Willis, D. W., & Pope, K. L. (1996). An assessment of burbot (Lota lota) weight–length data from North American popuplations. Canadian Journal of Zoology, 74(3), 570-575.
  • Gök, T,, Mikail, N., & Akkol, S. (2019). Analysis of the first lactation curve in Holstein cows with different mathematical models. KSÜ Tarım ve Doğa Derg, 22(4), 601-608.
  • Levenberg, K. (1944). A method for the solution of certain non-linear problems in least squares. Quarterly Journal of Applied Mathematics 2 (2), 164-168.
  • Marquardt, D.W. (1963). An algorithm for least-squares estimation of non-linear parameters. Journal of the Society of Industrial and Applied Mathematics, 11 (2), 431-441.
  • Mendenhall, W., & Sincich, T. (2012). A second course in statistics: regression analysis. 7th edition Pearson Education, Inc., USA.
  • Nettleton, J.A. (2000). Seafood nutrition in the 1990’s ıssues for the consumer. seafood science and technology (Chapter 4), Ed. By Graham Bligh Can. Inst. Of Fish Tech., 32-39.
  • Numann, W. (1958). A special study about limnological and fishing studies in various lakes of Anatolia and about the carp living in these lakes. Istanbul University Faculty of Science Hydrobiology Research Institute Publications Monograph, 7, 114.
  • Tekinşen, K. K., & Gökmen, M. (2007). Bacteriological quality of frozen puffin fish (Stizostedion lucioperca) fillets produced in Beyşehir. Eurasian Journal of Veterinary Sciences, 23(3-4), 57-64.
  • Tümgelir, L., Çubuk, H., Çınar, Ş., Özkök, R., Küçükkara, R., Ceylan, M., Erol, K. G., & Çetinkaya, S. (2007). Growth characteristics of the freshwater mullet (Leuciscus lepidus Heckel, 1843) population in lake Beyşehir. Turkish Journal of Aquatic Life, 5(8), 200-208.
  • Wood, P.D.P. (1967). Algebraic model of the lactation curve in cattle. Nature, 216(5111), 164-165. https://doi.org/10.1038/216164a0

Beyşehir Gölü Populasyonundaki Sudak (Sander Lucioperca Linnaeus, 1758) Balıklarının Vücut Uzunluğu ile Canlı Ağırlıkları Arasındaki İlişkilerin Matematiksel Modellerle İncelenmesi

Year 2023, Volume: 26 Issue: 2, 430 - 436, 30.04.2023

Yasin Altay , Nazire Mıkaıl , İbrahim Aytekin

https://doi.org/10.18016/ksutarimdoga.vi.1014573

Abstract

Bu çalışmanın amacı, Beyşehir Gölü popülasyonunda yetişen tatlı su levreklerinin total boy ve standart boylarının canlı ağırlık ile ilişkisini dört matematiksel model kullanarak incelemektir. Bunun için pazarlabilir boy limiti çağında bulunan 50 dişi balık materyali kullanıldı. Elde edilen veriler tahmin (%70) ve test (%30) verileri olmak üzere iki gruba ayrıldı. Uygulanan modeller üstel azalma, üstel ve Wood modelleri olmakla birlikte bu tür araştırmalarda genellikle tercih edilen güç modelidir. Modellerin karşılaştırma kriterleri ve uyum iyiliği testleri olarak R2, R2adj, RMSE, AIC, BIC ve MAPE değerleri kullanılmıştır. Çalışma sonuçlarına göre, total boy, canlı ağırlık tahmininde standart boydan daha doğru tahminler yapmaktadır. Sonuç olarak, diğer modellerin güç modelinden daha iyi sonuçlar verebileceği sonucuna varılmış ve su levreklerinin canlı ağırlığının tahmininde kullanılması önerilmiştir.

Keywords

Matematiksel modeller Total boy Balık Standart boy Sudak

References

  • Anderson, R. O., & Neumann, R.M. (1996). Length, weight, and associated structural indices. In: BR. Murphy, D. W. Willis (Eds.), Fisheries techniques, 2nd edition. American Fisheries Society, Bethesda, Maryland, 447-481.
  • Anonymous, (2008). Ministry of agriculture and rural affairs official newspaper publication no: 2/2 of the communiqué regulating fishing for amateur (sportive) purposes (Notification no: 2008/49).
  • Archontoulis, S. V., & Miguez F.E. (2015). Nonlinear regression models and applications in agricultural research. Agronomy Journal, 107(2), 786-798. https://doi.org/10.2134/agronj2012.0506
  • Burnham, K. P., & Anderson, D.R. (2002). Model selection and multimodel inference: a practical information-theoretic approach, 2nd edition New York: Springer.
  • Çınar, Ş., Çubuk, H., Tümgelir, L., & Çetinkaya, S. (2006). Growth characteristics of the sudak population (Sander lucioperca Linnaeus, 1758) in lake Beyşehir. 1st International Beyşehir and Region Symposium, Beyşehir / Konya, 11-13 May 2006, 710-717.
  • Daniela, G., Giuseppe, M., Laura, P., Stefano, P., & Massimo, L. (2015). Length-length, length-weight and a proposed standard weight equation for the Italian endemic species Barbus tyberinus Bonaparte, 1839. Turkish Journal of Fisheries and Aquatic Sciences, 15(1), 191-196.
  • Fisher, S. J., Willis, D. W., & Pope, K. L. (1996). An assessment of burbot (Lota lota) weight–length data from North American popuplations. Canadian Journal of Zoology, 74(3), 570-575.
  • Gök, T,, Mikail, N., & Akkol, S. (2019). Analysis of the first lactation curve in Holstein cows with different mathematical models. KSÜ Tarım ve Doğa Derg, 22(4), 601-608.
  • Levenberg, K. (1944). A method for the solution of certain non-linear problems in least squares. Quarterly Journal of Applied Mathematics 2 (2), 164-168.
  • Marquardt, D.W. (1963). An algorithm for least-squares estimation of non-linear parameters. Journal of the Society of Industrial and Applied Mathematics, 11 (2), 431-441.
  • Mendenhall, W., & Sincich, T. (2012). A second course in statistics: regression analysis. 7th edition Pearson Education, Inc., USA.
  • Nettleton, J.A. (2000). Seafood nutrition in the 1990’s ıssues for the consumer. seafood science and technology (Chapter 4), Ed. By Graham Bligh Can. Inst. Of Fish Tech., 32-39.
  • Numann, W. (1958). A special study about limnological and fishing studies in various lakes of Anatolia and about the carp living in these lakes. Istanbul University Faculty of Science Hydrobiology Research Institute Publications Monograph, 7, 114.
  • Tekinşen, K. K., & Gökmen, M. (2007). Bacteriological quality of frozen puffin fish (Stizostedion lucioperca) fillets produced in Beyşehir. Eurasian Journal of Veterinary Sciences, 23(3-4), 57-64.
  • Tümgelir, L., Çubuk, H., Çınar, Ş., Özkök, R., Küçükkara, R., Ceylan, M., Erol, K. G., & Çetinkaya, S. (2007). Growth characteristics of the freshwater mullet (Leuciscus lepidus Heckel, 1843) population in lake Beyşehir. Turkish Journal of Aquatic Life, 5(8), 200-208.
  • Wood, P.D.P. (1967). Algebraic model of the lactation curve in cattle. Nature, 216(5111), 164-165. https://doi.org/10.1038/216164a0
There are 16 citations in total.

Details

Primary Language English
Subjects Agricultural, Veterinary and Food Sciences
Journal Section RESEARCH ARTICLE
Authors

Yasin Altay 0000-0003-4049-8301

Nazire Mıkaıl 0000-0002-8996-9330

İbrahim Aytekin 0000-0001-7769-0685

Publication Date April 30, 2023
Submission Date October 25, 2021
Acceptance Date January 14, 2022
Published in Issue Year 2023 Volume: 26 Issue: 2

Cite

APA Altay, Y., Mıkaıl, N., & Aytekin, İ. (2023). Investigation of the Relationship between Body Length and Live Weight of the Pikeperch (Sander Lucioperca Linnaeus, 1758) in Beyşehir Lake Population. Kahramanmaraş Sütçü İmam Üniversitesi Tarım Ve Doğa Dergisi, 26(2), 430-436. https://doi.org/10.18016/ksutarimdoga.vi.1014573
 Download Cover Image


International Peer Reviewed Journal
Free submission and publication
Published 6 times a year



88x31.png


KSU Journal of Agriculture and Nature

e-ISSN: 2619-9149