No. 1 (2022)

Articles

Does the feeding frequency influence the growth performance of European perch juveniles (Perca fluviatilis) during intensive rearing?

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May 26, 2022

https://doi.org/10.34101/actaagrar/1/10705

Authors

Áron Molnár,

University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Department of Animal Husbandry, Debrecen

Bence Dajka,

University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Department of Animal Husbandry, Debrecen

Milán Fehér

University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Department of Animal Husbandry, Debrecen

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Keywords

European perch feeding frequency production parameters farming technology intensive recirculation system (RAS)

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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Molnár, Áron, Dajka, B., & Fehér, M. (2022). Does the feeding frequency influence the growth performance of European perch juveniles (Perca fluviatilis) during intensive rearing? . Acta Agraria Debreceniensis, 1, 123-128. https://doi.org/10.34101/actaagrar/1/10705

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Received 2022-01-19
Accepted 2022-02-09
Published 2022-05-26

Abstract

The European perch (Perca fluviatilis) is a predatory fish species. Its aquaculture production is increasing worldwide. Feeding and the frequency of feeding are important elements of intensive fish rearing. The aim of our experiment was to examine the optimal distribution of the amount of feed, at the same feed rations. The experiment lasted 42 days. Three treatments were applied in 4–4 replications. The first treatment was feeding twice per day (T2), the second treatment was feeding three times a day (T3), and the third group was fed four times a day (T4). 10 European perch juveniles were stocked per tank, with an individual mean body weight of 3.93 ± 0.06 g at the start of the experiment. The survival rate (S%) was above 90% for all treatments. The T2 treatments produced the most favourable harvest weight (13.96 ± 0.14 g) and specific growth rate (SGR = 3.08 ± 0.01% day^-1), but no significant differences were observed between groups. In terms of feed conversion ratio, the best result was obtained by (T3) (FCR =1.06 ± 0.18 g g^-1), but no significant difference was found for this indicator neither. The results of the trial indicate that the feeding frequency does not influence the production parameters.

References

1. Alanärä, A.–Kadri, S.–Paspatis, M. (2001): Feeding management. Food intake in fish, 332–353.
2. Alanärä, A. (1996): The use of self-feeders in rainbow trout (Oncorhynchus mykiss) production. Aquaculture, 145(1–4), 1–20.
3. Andrews, J.W.–Page, J.W. (1975): The Effects of Frequency of Feeding on Culture of Catfish. Transactions of the American Fisheries Society, 104(2), 317–321.
4. Azzaydi, M.–Martınez, F.J.–Zamora, S.–Sánchez-Vázquez, F.J.–Madrid, J.A. (1999): Effect of meal size modulation on growth performance and feeding rhythms in European sea bass (Dicentrarchus labrax, L.). Aquaculture, 170(3–4), 253–266.
5. Czarnecka, M.–Kakareko, T.–Jermacz, Ł.–Pawlak, R.–Kobak, J. (2019): Combined effects of nocturnal exposure to artificial light and habitat complexity on fish foraging. Science of the Total Environment, 684, 14–22.
6. FAO (2022): FishStatJ Software.
7. Fontaine, P.–Teletchea, F. (2019): Domestication of the Eurasian perch (Perca fluviatilis). In Animal domestication. (7) 137–160.
8. Gillet, C.–Lang, C.–Dubois, J.P. (2013): Fluctuations of perch populations in Lake Geneva from 1984 to 2011 estimated from the number and size of egg strands collected in two locations exposed to different fishing practices. Fisheries Management and Ecology, 20, 484–493.
9. Grayton, B.D.–Beamish, F.W.H. (1977): Effects of feeding frequency on food intake, growth and body composition of rainbow trout (Salmo gairdneri). Aquaculture, 11(2), 159–172.
10. Greenland, D.C.–Gill, R.L. (1979): Multiple daily feedings with automatic feeders improve growth and feed conversion rates of channel catfish. The Progressive Fish-Culturist, 41(3), 151–153.
11. Grignard, J.C.–Mélard, C.–Kestemont, P. (1996): A preliminary study of parasites and diseases of perch in an intensive culture system. Journal of Applied Ichthyology, 12(3-4), 195–199.
12. Härkönen, L.–Hyvärinen, P.–Mehtätalo, L.–Vainikkaa, A. (2017): Growth, survival and interspecific social learning in the first hatchery generation of Eurasian perch (Perca fluviatilis). Aquaculture, 466, 64–71.
13. Helfman, G.S. (1986): Fish behaviour by day, night and twilight. In The behaviour of teleost fishes (pp. 366–387). Springer, Boston, MA.
14. Jabeen, S.–Salim, M.–Akhtar, P. (2004): Feed conversion ratio of major carp Cirrhinus mrigala fingerlings fed on cotton seed meal, fish meal and barley. Pakistan Veterinary Journal, 24(1), 42–45.
15. Jentoft, S.–Oxnevad, S.–Aastveit, A.H.–Andersen, O. (2006): Effects of Tank Wall Color and Up-welling Water Flow on Growth and Survival of Eurasian Perch Larvae (Perca fluviatilis). Journal of the World Aquaculture Society, 37 (3), 313–317.
16. Jobling, M. (1982): Some observations on the effects of feeding frequency on the food intake and growth of plaice, Pleuronectes platessa L. Journal of Fish Biology, 20(4), 431–444.
17. Kestemont, P.–Craig, J.F.–Harrell, R. (2009): Warm water fish: the perch pike, and bass families. Fisheries and Aquaculture, 3, 200–229.
18. Kestemont, P.–Dabrowski, K.–Summerfelt, R.C. (2015): Biology and culture of percid fishes: principles and practices. Springer, 265–312.
19. Kestemont, P.–Dabrowskir, K. (1997): Recent advances in the aquaculture of percid fish. Oceanographic Literature Review, 6(44), 632.
20. Król, J.–Zieliński, E. (2015): Effects of stocking density and weaning age on cannibalism, survival and growth in European perch Perca fluviatilis larvae. Polish Journal of Natural Sciences, 30(4), 403–415.
21. Lahnsteiner, F.–Kletzl, M. (2018): A method for rearing perch, Perca fluviatilis, larvae using Paramecium caudatum, followed by wild zooplankton and formulated dry feed in combination with adequate tank systems. Journal of Agricultural Science, 10, 26–42.
22. Lee, S.M.–Cho, S.H.–Kim, D.J. (2000): Effects of feeding frequency and dietary energy level on growth and body composition of juvenile flounder, Paralichthys olivaceus (Temminck & Schlegel). Aquaculture Research, 31(12), 917–921.
23. López-Olmeda, J.F.–Noble, C.–Sánchez-Vázquez, F.J. (2012): Does feeding time affect fish welfare? Fish physiology and biochemistry, 38(1), 143–152.
24. Lorenzoni, M.–Carosi, A.–Pedicillo, G.–Trusso, A. (2007): A Comparative Study On The Feeding Competition Of The European Perch Perca Fluviatilis L. And The Ruffe Gymnocephalus Cernuus (L.) In Lake Piediluco (Umbria, Italy). Bulletin Francais De La Peche Et De La Pisciculture, (387), 35–57.
25. Lutz, P.L. (1972): Ionic and body compartment responses to increasing salinity in the perch Perca fluviatilis. Comparative Biochemistry and Physiology Part A: Physiology, 42 (3), 711–717.
26. Mairesse, G.–Thomas, M.–Gardeur, J.N.–Brun-Belluta, J. (2005): Appearance and echnological characteristics in wild and reared Eurasian perch, Perca fluviatilis (L.). Aquaculture, 246, 295–311.
27. Mélard, C.–Kestemont, P.–Grignard, J.C. (1996): Intensive culture of juvenile and adult Eurasian perch (P. fluviatilis): effect of major biotic and abiotic factors on growth. Journal of Applied Ichthyology, 12(3-4), 175–180.
28. Muñoz, J.C.V.–Feld, C.K.–Hilt, S.–Manfrin, A.–Nachev, M.–Köster, D.–Knopf, K. (2021): Eye fluke infection changes diet composition in juvenile European perch (Perca fluviatilis). Scientific reports, 11(1), 1–14.
29. Noeske, T.A.–Spieler, R.E. (1984). Circadian Feeding Time Affects Growth of Fish. Transactions of the American Fisheries Society, 113(4), 540–544.
30. Rowland, S.J.–Allan, G.L.–Mifsud, C.–Nixon, M.–Boyd, P.–Glendenning, D. (2005): Development of a feeding strategy for silver perch, Bidyanus bidyanus (Mitchell), based on restricted rations. Aquaculture Research, 36(14), 1429–1441.
31. Rupp, M.–Knüsel, R.–Sindilariu, P.D.–Schmidt-Posthaus, H. (2019): Identification of important pathogens in European perch (Perca fluviatilis) culture in recirculating aquaculture systems. Aquaculture International, 27(4), 1045–1053.
32. Silva, C.R.–Gomes, L.C.–Brandão, F.R. (2007): Effect of feeding rate and frequency on tambaqui (Colossoma macropomum) growth, production and feeding costs during the first growth phase in cages. Aquaculture, 264(1–4), 135–139.
33. Steenfeldt, S.–Fontaine, P.–Overton, J.L.–Policar, T.–Toner, D.–Falahatkar, B.–Mhetli, M. (2015): Current Status of Eurasian Percid Fishes Aquaculture. Biology and Culture of Percid Fishes, 817–841.
34. Stejskal, V.–Matoušek, J.–Prokešová, M.–Podhorec, P.–Křišťan, J.–Policar, T.–Gebauer, T. (2020): Fin damage and growth parameters relative to stocking density and feeding method in intensively cultured European perch (Perca fluviatilis L.). Journal of fish diseases, 43(2), 253–262.
35. Sundararaj, B.I.–Nath, P.–Halberg, F. (1982): Circadian Meal Timing in Relation to Lighting Schedule Optimizes Catfish Body Weight Gain. The Journal of Nutrition, 112(6), 1085–1097.
36. Ubina, N.–Cheng, S.C.–Chang, C.C.–Chen, H.Y. (2021): Evaluating fish feeding intensity in aquaculture with convolutional neural networks. Aquacultural Engineering, 94, 102178.
37. Vlavonou, R.S.–Masson, G.–Moreau, J.C. (1999): Growth of Perca fluviatilis larvae fed with Artemia spp.
38. nauplii and the effects of initial starvation. Journal of Applied Ichthyology, 15, 29–33.
39. Yazıcıoğlu, O.–Yılmaz, S.–Yazıcı, R.–Erbaşaran, M.–Polat, N. (2016): Feeding ecology and prey selection of European perch, Perca fluviatilis inhabiting a eutrophic lake in northern Turkey. Journal of Freshwater Ecology, 31(4), 641–651.
40. Zhou, C.–Xu, D.–Chen, L.–Zhang, S.–Sun, C.–Yang, X.–Wang, Y. (2019): Evaluation of fish feeding intensity in aquaculture using a convolutional neural network and machine vision. Aquaculture, 507, 457–465.