KAJIAN LINTAS SEKSIONAL AVIAN INFLUENZA PADA SENTRA PETERNAKAN ITIK ALABIO DI KABUPATEN HULU SUNGAI UTARA PROVINSI KALIMANTAN SELATAN
| Main Authors: | , Drh. Wijanarko, , Prof. Dr. drh. Bambang Sumiarto, SU., M.Sc., |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2012
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/97401/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=54262 |
Daftar Isi:
- Based on diagnostic results released by the Diseases Investigation Center (DIC) Region V Banjarbaru in 2008, there was rediscovered positive cases of AI in samples of ducks, broiler chickens, and wild bird. These results indicate that AI virus is still there despite the low level of incidence rate following prevention, control, and eradication programs of AI in Hulu Sungai Utara District (HSU). The purpose of the study was to determine the prevalence of AI in breeding Alabio ducks and the contributing risk factors. Variable risk factor identified and developed through a questionnare in cross-sectional study with multistage sampling design. Units of study in this research were 673 duck with a confidence level 95% and 159 farmers elected in districts that are grouped (stratified) as high risk districts with 99% confidence level. Serum samples, swab (pooled) cloaca and or trachea taken from Alabio ducks. Risk factors that influence the incidence of AI at the level of livestock and livestock breeders obtained through observation, duck farming, and direct interviews with the owners. Data analysis was performed desciptively, chi-square test was used to determine the significant association of variables on the incidence of AI, and odd ratio (OR) with 95% confidence level was used to measure the strength of association. The contributing risk factors were analyzed by constructing logistic and linear regression models and path model assignment using statistix analitycal soft ware version 7,0 and SPSS 17,0 for windows. The results showed that the level of seropositive AI in duck was 3,7% (25/673), expected prevalence of AI at the farmer level was 1,9% (3/159), and the apparent prevalence of AI in breeding ducks tested in pararel was 11,9% (19/159). Logistic regression model shows the risk factors that have significant associations of seropositive AI (P�0.05) at duck level is a dirty farm environmental conditions (OR=8.7), animal husbundry system in a way-off brackets (OR=0.2), the location of similiar type of poultry farming/Alabio duck in distance � 1 Km (OR=6.0), Subdistrict Haur Gading (OR=5.9), the use of means of transport from place of purchase of feed or seed (OR=5.0), and Subdistrict Babirik (OR=4.8). Further, risk factors that have a significant association to the incidence of AI at the farmer level is the Subdistrict Babirik (OR=9.4), decreased egg production (OR=6.5), a dirty farm environmental conditions (OR=5.7), and use of means of transport from place of purchase of feed or seed (OR=2.8). Linear regression model showed that risk factors affecting significantly seroprevalence of AI at the farmer level is Subdistrict Babirik with coefficients (r) 0.16139, the use of means of transport from place of purchase of feed or seed (r=0.10486), decreased egg production (r=0.07828), Subdistrict Haur Gading (r=0.07406), a dirty farm environmental conditions (r=0.06565), lock breeding system (r=0.05500), and the origin of seed from other breeders (r=0.04742). From the analysis it can be concluded that (1) not all variables in the bivariate analysis are significantly with outcome in the model, (2) based on multivariate analysis there are several variables, both at the level of ducks and farmers associated with the outcome, and (3) path analysis providing critical point variables that can simultaneously control other variables.