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Etlik Veteriner Mikrobiyoloji Dergisi
Article . 2017 . Peer-reviewed
Data sources: Crossref
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Tatlı Su Balıklarının Ichthyophthirius multifiliis Enfeksiyonunda Aşı Çalışmaları

Authors: Coşkun AYDIN; Gökmen Zafer PEKMEZCİ;

Tatlı Su Balıklarının Ichthyophthirius multifiliis Enfeksiyonunda Aşı Çalışmaları

Abstract

p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px 'Times New Roman'; min-height: 15.0px} p.p2 {margin: 0.0px 0.0px 4.0px 19.0px; text-align: justify; line-height: 9.1px; font: 9.0px 'Times New Roman'} span.s1 {font: 12.0px 'Times New Roman'}  Tatlı su balıklarında çok tehlikeli olan “Beyaz Benek Hastalığı” eski zamanlardan beri bilinmektedir. Hastalığın etkeni siliatalı bir protozoon olan Ichthyophthirius multifiliis’dir. Parazit doğal yaşam alanı ile kuluçkahane ve kafeslerde yetiştirilen her yaş ve boydaki tatlı su balıklarında enfeksiyona neden olur. Hastalığın Avrupa’da her yıl alabalık çiftliklerinde 140 milyon dolar zarara neden olduğu bilinmektedir. Ülkemizde hastalığın neden olduğu zararın ekonomik boyutunun ne olduğu tam olarak bilinmemektedir. Ama alabalık işletmelerin üretim potansiyellerine zarar verdiği bilinen bir gerçektir. Bu derlemede koruyucu hekimlik açısından I. multifiliis enfeksiyonlarında aşı yaklaşımları hakkında güncel veriler sunulmuştur.

Country
Turkey
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Keywords

Ichthyophthirius multifiliis;İmmunite;Aşı, Veterinerlik

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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