The book is a comprehensive and advanced textbook designed to provide in-depth knowledge of modern plant pathology diagnostics. The book systematically covers a wide range of detection techniques, starting from traditional visual symptom analysis to highly advanced molecular and artificial intelligence-based methods. It includes biochemical tests, microscopic techniques, cultural studies, serological assays, and nucleic acid-based methods such as PCR, qPCR, LAMP, and next-generation sequencing.
The book also explores emerging technologies like biosensors, phage display, GC-MS, LC-MS, and flow cytometry for accurate pathogen identification. Special emphasis is given to modern innovations such as drone-based disease detection, machine learning, and deep learning applications in plant disease diagnosis.
Aligned with current scientific advancements, the book integrates both phenotypic and genotypic approaches for precise identification of plant pathogens. It serves as a valuable resource for students, researchers, and professionals in plant pathology, agriculture, and biotechnology, supporting efficient disease management and sustainable crop protection strategies.
Chapter 1. Detection of Plant Pathogens
Chapter 2. Detection of Plant Pathogens Based on Biochemical Tests
Chapter 3. Detection of Plant Pathogens Using Microscopic Techniques
Chapter 4. Detection of Plant Pathogens by Cultural Studies
Chapter 5. Detection of Plant Pathogens by Biological Assays
Chapter 6. Detection of Plant Pathogens by Serological Assays
Chapter 7. Nucleic Acid Based Techniques to Detect Plant Pathogens
Chapter 8. Phenotypic and Genotypic Tests for Identification of Plant Pathogens
Chapter 9. Molecular Identification
Chapter 10. Volatile Compounds Profiling by Using GC-MS and LC-MS; FAME Analysis, Fluorescence In-Situ Hybridization (FISH), Flow Cytometry
Chapter 11. Phage Display Technique and Biosensors for Detection of Plant Pathogens
Chapter 12. Genotypic Tools Such as Genome / Specific Gene Sequence Homology Comparison by BLAST (NCBI and EMBL)
Chapter 13. Electron Microscopy Techniques of Plant Virus Detection and Diagnosis
Chapter 14. Artificial Intelligence (AI) to Detect Plant Pathogens