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Prevalence of Concurrent Infections in Broiler Population of District Chakwal, Pakistan

Prevalence of Concurrent Infections in Broiler Population of District Chakwal, Pakistan

Saima Parveen1, Altaf Mahmood2*, Ayesha Azad3, Sajid Umar4, Nosheen Shoukat6, Mirza Muhammad Arsalan Azam5, Qurat-Ul-Ain5 and Nausheen Akhtar Malik1

1Department of Biology, Faculty of Science and Technology, Virtual University of Pakistan, Lahore, Pakistan; 2Directorate of Animal Disease Diagnostic, Reporting and Surveillance, Livestock and Dairy Development Department, Government of Punjab, Pakistan; 3Poultry Research Institute, Livestock and Dairy Development Department, Government of Punjab, Pakistan; 4Department of Pathology, Faculty of Veterinary and Animal Sciences, PMAS Arid Agriculture University, Rawalpindi, Pakistan; 5Department of Zoology, University of the Punjab, Lahore, Pakistan; 6Department of Biotechnology, Faculty of Science and Technology, Virtual University of Pakistan, Lahore, Pakistan.

 
*Correspondence | Altaf Mahmood, Directorate of Animal Disease Diagnostic, Reporting and Surveillance, Livestock and Dairy Development Department, Government of Punjab, Pakistan; Email: [email protected]

ABSTRACT

Broiler population is one of the most important segments of livestock due to its significant contribution in white meat production. Infectious disease outbreaks adversely influence the production potential and consequently cause economic losses. Epidemiological data regarding magnitude of these disease outbreaks is of fundamental importance for planning of a comprehensive control strategy. With retrospective design, this study was conducted from January 2013 through December 2017 in order to assess the disease burden on broilers reared in different open type poultry houses. Out of total 658 commercial farms with capacity of 4221800 broilers, across Chakwal, a representative sample of 70 farms with capacity of 448000 broilers was randomly selected for collection and analysis of disease data. Five years’ data of these randomly selected farms revealed highest (44.64%) crude morbidity during monsoon season followed by 23.92%, 22.12% and 17.49% for winter, spring and post-monsoon seasons respectively. The highest (14.90%) prevalence was recorded for new castle disease followed by infectious bursal disease (11.79%), pullorum disease (11.17%), colibacillosis (8.71%), infectious bronchitis (7.87%), inclusion body hepatitis (7.79%), chronic respiratory disease (7.67%), necrotic enteritis (6.48%), coccidiosis (6.09%), mycotoxicosis 5.43%), fowl cholera (4.74%), infectious coryza (4.41%), fowl typhoid (4.22%), omphalitis (3.71%) and hydropericardium syndrome (0.05%). Maximum share in crude morbidity was contributed by bacterial diseases with highest proportional morbidity of 48.68% followed by viral (40.32%), parasitic (5.80%) and fungal (5.20%) diseases. This epidemiological data represents true picture of study population and is a valuable tool for planning of prevention strategy and research priorities.

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Sarhad Journal of Agriculture

September

Vol.40, Iss. 3, Pages 680-1101

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