The health management and medication use in trout farms located in Erzurum province and its districts

Naime Filiz Karadaş; Hakan Duman; Köksal Karadaş

doi:10.12714/egejfas.42.2.07

EN TR

The health management and medication use in trout farms located in Erzurum province and its districts

Abstract

The aquaculture sector is very important both in terms of employment and the contribution of the products obtained to healthy nutrition. In order for this sector to grow at a sufficient speed and at a sustainable level, it is important to determine the diseases and control methods seen in the sector and to take more effective measures in this context. In this study, the level of use of drugs and vaccines currently used in land and dam fish facilities in Erzurum province and districts was determined, information and effective approaches were determined about the infectious diseases of fish in aquaculture environment and the drugs and vaccines used for these diseases. In this context, facility management practices were examined through questionnaires conducted with 41 farm managers in the region. At the end of the study, it was determined that the enterprises used an average of 51.58 kg of medicines, produced with a capacity of 50-100 tonnes and the most preferred water source (59%) was lakes. The enterprises mostly (54%) use open circuit system and 84% use pallet feed and 75% of the production is rainbow trout. The most common diseases are bacterial and fungal infections, parasitic and viral diseases. The preferred medicines are disinfectants, antibiotics, antiparasitics, supplements and fungicides. Although the producers work with 68% capacity, they stated insufficient demand, high costs and diseases as the reasons for this situation. Statistical analyses revealed important findings specific to the region through clustering analysis which identified two different groups on the basis of 22 important criteria. The results, in which the ‘Diana’ method was determined as the most appropriate clustering approach, provide applicable recommendations for improving facility management strategies. The findings provided detailed information on the drug utilisation patterns of the farms and made it possible to better understand the needs of the enterprises in the region. As a result, this study will provide important contributions not only to the strategic management of enterprises, but also to policy development processes for regional development.

Keywords

Erzurum il ve ilçelerinde bulunan alabalık çiftliklerinde sağlık yönetimi ve ilaç kullanımı

Öz

Su ürünleri sektörü gerek istihdam ve gerekse elde edilen ürünlerin sağlıklı beslenmeye katkısı nedeniyle oldukça önemlidir. Bu sektörün yeterli hızda ve sürdürülebilir düzeyde büyüyebilmesi için sektörde görülen hastalıklar ve mücadele yöntemlerinin belirlenmesi ve bu bağlamda daha etkin önlemlerin alınması önem arzetmektedir. Bu çalışmada Erzurum il ve ilçelerinde bulunan kara ve baraj balık tesislerinde hali hazırda kullanılan ilaç ve aşıların kullanım düzeyleri belirlenmiş, aquakültür ortamında balıkların enfeksiyon hastalıkları ve bu hastalıklar için kullanılan ilaçlar ve aşılar hakkında bilgiler ve etkili yaklaşımlar belirlenmiştir. Bu kapsamda bölgedeki 41 çiftlik yöneticisiyle yapılan anketler aracılığıyla tesis yönetimi uygulamalarını incelenmiştir. Çalışma sonunda işletmelerin ortalama 51,58 kg ilaç kullandıkları, 50-100 ton kapasite ile üretimde bulundukları ve en çok tercih edilen su kaynağının (%59) göller olduğu belirlenmiştir. İşletmeler çoğunlukla (%54) açık devre sistem ve %84 oranında palet yemi kullanmakta olup üretimin %75’ini gökkuşağı alabalığı oluşturmaktadır. En sık görülen hastalıklar bakteri ve mantar enfeksiyonları ile paraziter ve viral hastalıklardır. Tercih edilen ilaçların dezenfektan, antibiyotik, antiparaziter, takviye ve fungusitler olduğu tespit edilmiştir. Üreticiler %68 kapasite ile çalışmakla birlikte bu duruma yetersiz talep, yüksek maliyetler ve hastalıkları sebep olarak ifade etmişlerdir. Yapılan istatistiksel analizler, 22 önemli kriter temelinde iki farklı grup belirleyen kümeleme analiziyle bölgeye özgü önemli bulgular ortaya koymuştur. 'Diana' yönteminin en uygun kümeleme yaklaşımı olarak belirlendiği sonuçlar, tesis yönetimi stratejilerinin iyileştirilmesi için uygulanabilir öneriler sunmaktadır. Elde edilen bulgular, çiftliklerin ilaç kullanım alışkanlıklarına dair detaylı bilgiler sağlamış ve bölgedeki işletmelerin ihtiyaçlarını daha iyi anlamayı mümkün kılmıştır. Sonuç olarak, bu çalışma, yalnızca işletmelerin stratejik yönetimine değil, aynı zamanda bölgesel kalkınmaya yönelik politika geliştirme süreçlerine de önemli katkılar sağlayacaktır.

Anahtar Kelimeler

Etik Beyan

As this study involved a survey, the necessary Ethical Committee Approval (no. 2024/28) was obtained from Iğdır University.

Teşekkür

We would like to thank Edip Bingöl and Canip Koçak, fisheries engineers at the Erzurum Provincial Directorate of Agriculture, for facilitating our connection with the fish farm authorities for the survey work.

Kaynakça

Assefa, A., & Abunna, F. (2018). Maintenance of fish health in aquaculture: review of epidemiological approaches for prevention and control of ınfectious disease of fish. Veterinary Medicine International, 2018(1), 5432497. https://doi.org/10.1155/2018/5432497
Banerjee, A., & Dave, R.N. (2004). Validating clusters using the Hopkins statistic. International Conference on Fuzzy Systems, Proceedings Book, 149 153, Budapest, Hungary. https://doi.org/10.1109/FUZZY.2004.1375706
Brailas, A., Tragou, E., & Papachristopoulos, K. (2023). Introduction to qualitative data analysis and coding with QualCoder. American Journal of Qualitative Research, 7(3), 19-31. https://doi.org/10.29333/ajqr/13230
Charrad, M., Ghazzali, N., Boiteau, V., & Niknafs, A. (2014). NbClust: An R package for determining the relevant number of clusters in a data set. Journal of Statistical Software, 61, 1 36. https://doi.org/10.18637/jss.v061.i06
Chong, R., Bousfield, B., & Brown, R. (2011). Fish disease management by the agriculture, fisheries and conservation department (AFCD), Hong Kong. Fish Disease Management, 1(8), 1–12. Çöteli, F.T. (2024) Fisheries Products. Retrieved from https://arastirma.tarimorman.gov.tr/tepge/Documents
Dandi, S.O., Abarike, E.D., Abobi, S.M., Doke, D.A., Lyche, J.L., Addo, S., & Cudjoe, K.S. (2024). Knowledge attitudes and practices of antibiotic use among small, medium and large scale fish farmers of the stratum ıı of the Volta Lake of Ghana. Antibiotics, 13(7), 582. https://doi.org/10.3390/antibiotics13070582
Duman, H. (2024). Evaluation of the impact of environmental conditions on dairy cattle milk yield using machine learning algorithms. Doctoral dissertation. Iğdır University, Turkey.
Gan, G., Ma, C., & Wu, J. (2020). Data clustering: theory, algorithms, and applications. Society for Industrial and Applied Mathematics. Retrieved from https://epubs.siam.org/doi/book/10.1137/1.9781611976335

Giordani, P., Ferraro, M. B., & Martella, F. (2020). An Introduction to Clustering with R. Springer.
Hensley, S., Fox, J., Cummins, M., Franks, M., Bird, M., Wells, C., & Miller, J. (2024). The key to coding qualitative data: examples from the 4th youth retention study. Journal of Extension, 62(1), 15. https://doi.org/10.34068/joe.62.01.15
Hopkins, B., & Skellam, J. G. (1954). A new method for determining the type of distribution of plant individuals. Annals of Botany, 18(2), 213–227. https://doi.org/10.1093/oxfordjournals.aob.a083391
Kassambara, A. (2017). Practical Guide to Cluster Analysis in R. Retrieved from https://xsliulab.github.io/Workshop/2021/week10/r-cluster-book.pdf
Koca, S.B., Terzioğlu, S., Didinen, B.İ., & Yiğit, N.Ö. (2011). Environmentally friendly production in sustainable aquaculture. Ankara University Journal of Environmental Sciences, 3(1), 107-114. (in Turkish with English abstract)
Kuhn, M., & Johnson, K. (2013). Applied Predictive Modeling. https://doi.org/10.1007/978-1-4614-6849-3
Kumar, V., Roy, S., Meena, D.K., & Sarkar, U.K. (2016). Application of probiotics in shrimp aquaculture: ımportance, mechanisms of action, and methods of administration. Reviews in Fisheries Science & Aquaculture, 24(4), 342-368. https://doi.org/10.1080/23308249.2016.1193841
Parmenter, D. (2007). Pareto's 80/20 Rule for Corporate accountants. Retrieved from https://ndl.ethernet.edu.et/bitstream/123456789/18486/1/197.pdf
Patil, P.K., Mishra, S.S., Pradhan, P.K., Manna, S.K., Abraham, J.T., Solanki, H.G., & Jena, J. (2022). Usage pattern of chemicals, biologicals and veterinary medicinal products in Indian Aquaculture. Reviews in Aquaculture, 14(4), 2038-2063. https://doi.org/10.1111/raq.12688
Peeler, E.J., & Taylor, N.G. (2011). The application of epidemiology in aquatic animal health-opportunities and challenges. Veterinary Research, 42(1), 94. https://doi.org/10.1186/1297-9716-42-94
Plant, K.P., & LaPatra, S.E. (2011). Advances in fish vaccine delivery. Developmental and Comparative Immunology, 35(12), 1256-1262. https://doi.org/10.1016/j.dci.2011.03.007
Rico, A., Satapornvanit, K., Haque, M.M., Min, J., Nguyen, P.T., Telfer, T.C., & Brink, P.J. (2012). Use of chemicals and biological products in asian aquaculture and their potential environmental risks: A critical review. Reviews in Aquaculture, 4(2), 75-93. https://doi.org/10.1111/j.1753-5131.2012.01062.x
Romero, J., Feijoó, C.G., & Navarrete, P. (2012). Antibiotics in aquaculture–use, abuse and alternatives. Health and Environment in Aquaculture, 159(1), 159-198. https://doi.org/10.5772/28157
Samanidou, V.F., & Evaggelopoulou, E.N. (2007). Analytical strategies to determine antibiotic residues in fish. Journal of Separation Science, 30(16), 2549-2569. https://doi.org/10.1002/jssc.200700252
Souza, P. (2022). Innovation in Industrial Research. Csiro Publishing.
Toomey, D. (2014). R for Data Science. Retrieved from https://www.scribd.com/document/802361299/Ebooks-PDF-download-R-for-Data-Science-1st-Edition-Toomey-full-chapters
Topal, M. (2017). Investigation and monitoring of tetracycline and degradation products in waters of trout farm. Pamukkale University Journal of Engineering Sciences, 23(3), 74 279. https://doi.org/10.5505/pajes.2016.46704
Türk, E., & Oğuz, H. (2013). Using medication in aquaculture industry and it's crucial effects on the consumers in terms of public health. Bornova Veteriner Bilimleri Dergisi, 35(49), 35-43.
Yeo, I.K., & Johnson, R.A. (2000). A new family of power transformations to ımprove normality or symmetry. Biometrika, 87(4), 954-959. https://doi.org/10.1093/biomet/87.4.954
Yonar, M.E., & Sağlam, N. (2013). Sulphonamides and usage in fish. Menba Journal of Fisheries Faculty, 1(1), 37-42.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Balık Yetiştiriciliği , Balık Zararlıları ve Hastalıkları

Bölüm

Araştırma Makalesi

Yazarlar

Naime Filiz Karadaş ^*
0000-0003-3488-3481
Türkiye

Hakan Duman
0000-0001-6166-5776
Türkiye

Köksal Karadaş
0000-0003-1176-3313
Türkiye

Erken Görünüm Tarihi

14 Haziran 2025

Yayımlanma Tarihi

15 Haziran 2025

Gönderilme Tarihi

23 Ocak 2025

Kabul Tarihi

12 Mayıs 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 42 Sayı: 2

DOI

https://doi.org/10.12714/egejfas.42.2.07

IZ

https://izlik.org/JA46ZN82SL

Kaynak Göster

RIS / Bibtex

APA

Karadaş, N. F., Duman, H., & Karadaş, K. (2025). The health management and medication use in trout farms located in Erzurum province and its districts. Ege Journal of Fisheries and Aquatic Sciences, 42(2), 148-157. https://doi.org/10.12714/egejfas.42.2.07