Animal protection (incl. pests and pathogens) research is a vital research area focused on understanding and managing threats to livestock health posed by pests and infectious agents. It encompasses the study of biological, environmental, and management factors affecting animal welfare and productivity. As a key component of agricultural and veterinary sciences under animal production, this field supports global food security by safeguarding animals from diseases and infestations. JoVE Visualize enriches this research area by pairing PubMed articles with JoVE’s experiment videos, offering researchers and students a clearer view of experimental methods and findings.
Established methods in animal protection research often include field surveillance to monitor pest populations and disease outbreaks, laboratory diagnostics such as polymerase chain reaction (PCR) assays for pathogen detection, and immunological techniques to assess animal immune responses. Researchers also employ epidemiological studies to track disease spread and evaluate control measures. These core techniques provide a foundation for understanding host-pathogen interactions and developing effective management strategies to protect livestock health and prevent economic losses in animal production.
Innovative methods are reshaping animal protection research by integrating genomic technologies like high-throughput sequencing to characterize pests and pathogens at the molecular level. Precision livestock farming tools, including real-time biosensors and automated monitoring systems, enable early detection of health threats. Additionally, advances in remote sensing and machine learning help predict pest outbreaks and pathogen transmission patterns. JoVE’s experiment videos facilitate comprehension of these cutting-edge techniques, supporting research that aims to enhance animal protection in the face of evolving challenges to food security.
Luisa Carolina Baccin, Marcelo L Moretti
Cheng Zeng, Zhaoshan Tang, Jing Wang, Shouqun Jiang, Qiuli Fan, Jianguo Zeng, Xiubin Liu
Soheil Vesal, Danial Hashemi Karoii, Amir Abbas Shams, Raha Favaedi, Samira Vesali, Alireza Alizadeh, Maryam Shahhoseini
Mengting Guo, Xue Zhou, Haodong Zhang, Xinna Huyan, Yang Zhao, Xiaocui Wang
Zheng Qin, Ying-Xiao Mai, Xin-Yue Zhang, Jia-Pei Zeng, Yi-Wen Yao, Feng-Qi Wu, Cai-Hong Huang, Hong-Sen Liu, Zhe-Xiong Huang, Hui-Min Hu, Jing Xu, Qian Yan, Rui Xia, Zao-Hai Zeng, Yan-Wei Hao
Leon Richter, João Dias-Ferreira, Gustavo Campos Ramos, DiyaaElDin Ashour
Sravan Perla, Alladi Charanraj Goud, Matthew Liu, Shubham Misra, Ashish Kumar, Suresh Kumar Srinivasamurthy, Vishnu Amaram Samara, Sharanya S Nair, Sudhir Jain
Ankit Agrawal, Umesh Bhagat, Akash Sharma, Saumya Nanda, Akshat Banga, Akiva Rosenzveig, Keshav Garg