KONTRIBUSI AVIAN INFLUENZA SEBAGAI PENYEBAB KEMATIAN AYAM PETELUR DI KABUPATEN KULON PROGO DAERAH ISTIMEWA YOGYAKARTA

Kulon Progo is a potential district for layer chicken in Yogyakarta province. Avian Influenza have been detected in layer chicken in Kulon Progo District since 2003. The farmers have vaccinated the flocks and increased biosecurity to control AI in layer chicken. The diseases become endemic especiall...

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Bibliographic Details
Main Authors: , drh. Nasirudin, , drh. Heru Susetya, MP., Ph.D
Format: Theses and Dissertations NonPeerReviewed
Published: [Yogyakarta] : Universitas Gadjah Mada 2011
Subjects:
ETD
Online Access:https://repository.ugm.ac.id/90900/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=53189
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Institution: Universitas Gadjah Mada
Description
Summary:Kulon Progo is a potential district for layer chicken in Yogyakarta province. Avian Influenza have been detected in layer chicken in Kulon Progo District since 2003. The farmers have vaccinated the flocks and increased biosecurity to control AI in layer chicken. The diseases become endemic especially in native chicken, but there is no case report anymore in layer chicken. The aims of this study were to investigate death proportion of layer chicken in the district due to AI, and to find factors that influence in the death of layer chicken caused by AI. A cross sectional study was applied in this study. A total of 156 samples dead layer chicken from 36 farmers the district was need throughout he study. Rapid test was applied on the virus detection from oropharynk swab and the virus from lung, brain and trachea was inoculated into the allantoic cavity of 8 - 10 day-old embryoned eggs was taken to analyse the presence of AI. Positive AI was indicated if one or two of the analyses result was positive. The AI contributes to the mortality of layer chicken in Kulon Progo District as high as 21,15 %. Logistic regression model showed that the death due to AI in layer chicken was increased by open fence (regression coef + 6,60055