지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한수의학회 Korean Journal of Veterinary Research(대한수의학회지) Korean Journal of Veterinary Research(구 대한수의학회지) 제65권 제1호
- 발행연도
- 2025.3
- 수록면
- 8 - 18 (11page)
이용수
초록· 키워드
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The rapid detection and differentiation of major respiratory viruses, such as avian influenza virus, infectious bronchitis virus, Newcastle disease virus, infectious laryngotracheitis virus, and avian metapneumoviruses within an infected poultry flock, are crucial for timely control measures. Effective disease management mandates identifying the etiologic agent and differentiating between similar pathogens in the early stages of infection. The traditional methods of virus detection include virus isolation, virus neutralization, and hemagglutination inhibition assays. Molecular-based methods, such as quantitative real-time polymerase chain reaction (PCR), have also become a standard. Future diagnostic concepts focus on advances in point-of-care testing that can be applied directly on-site in poultry plants, such as biosensing and lateral flow tests, which are becoming prominent in avian diagnostics. Portable PCR assays, such as loop-mediated isothermal amplification, are also becoming popular. In addition, artificial intelligence, particularly those using deep-learning techniques, is increasingly being integrated into early disease detection. This comprehensive review examines the history of diagnostic methodologies that have supported these efforts for decades and discusses future concepts and trends in the field.
목차
Abstract
Introduction
Conventional Methods for Detection of Respiratory Viral Diseases in Poultry
Molecular-Based Detection Methods for Respiratory Viral Diseases in Poultry
Future Diagnostic Strategies
Conclusion
References
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