Guest Editors:
- Dr. Amam Zonaed Siddiki, Professor, Genomics Research Group, Chittagong Veterinary and Animal Science University, Khulshi, Chattogram, 4225, Bangladesh.
- Dr. Tawin Inpankaew, Associate Professor, Faculty of Veterinary Medicine, Kasetsart University, Chatuchak, Bangkok, 10900, Thailand.
- Dr. Mohammad Mustafizur Rahman, Associate Professor, Department of Marine Science, International Islamic University Malaysia (IIUM), Kuantan, Pahang, 25200, Malaysia.
Bovine mastitis is a major challenge in modern dairy farming, causing significant economic losses and demanding integrated solutions. Genomic epidemiology enables the analysis of large-scale genetic data to uncover disease transmission, genetic resistance, and impacts on milk yield, fertility, and overall health. Gene discovery supports selective breeding and informed management strategies. Advances in functional genomics, transcriptomics, and epigenetics reveal immune pathways and tissue repair mechanisms, guiding vaccine development and targeted therapies. Key indicators such as somatic cell count and reproductive efficiency provide value-based disease assessment. Linking genomic profiles with health records improves treatment precision, reduces antibiotic use, and limits antimicrobial resistance. Gene-marker diagnostics, tailored herd management, and precision livestock technologies strengthen control measures. Automated monitoring and sensor systems enable timely, data-driven interventions. This special issue invites research that combines genomics, bioinformatics, and epidemiology to deliver molecular insights and practical solutions for sustainable mastitis control. This includes but is not limited to:
- Proteomics and Biomarker Discovery for Precision Mastitis Therapies
- Machine Vision and Deep Learning for Automated Udder Health Assessment in Dairy Farms
- Quantum-Inspired Algorithms for Complex Genomic Data Analysis in Mastitis Research
- Epigenomic Modulation to Improve Cattle Immunity and Resistance to Mastitis
- 3D Bioprinting of Udder Tissue Models for Vaccine Development and Drug Testing
- Cloud-Based Big Data Analytics for Mastitis Epidemiology and Farm Decision-Making
- Synthetic Biology Approaches for Developing Probiotic-Based Mastitis Prevention
- Wearable Lab-on-Chip Devices for On-Farm Genetic Screening of Mastitis Susceptibility
- Neural Network-Driven Genomic Selection for Enhanced Mastitis Resistance in Breeding Programs
- Cyber-Physical Systems for Integrated Herd Health Monitoring and Mastitis Control
- High-Throughput Transcriptomics for Mapping Mastitis-Related Gene Expression Pathways
- Precision Livestock Farming with Autonomous Robotics for Mastitis Detection and Care
Call For Papers Tentative Timeline:
- Submission deadline: January 20, 2026
- Author notification: March 20, 2026
- Revised papers due: May 20, 2026
- Final notification: June 20, 2026