Turfgrass Disease Diagnosis: Past, Present, and Future

Area of Science:

• Plant Pathology
• Agricultural Science
• Biotechnology

Background:

• Turfgrass diseases, caused by fungi, bacteria, viruses, and nematodes, pose significant economic threats to the multibillion-dollar industry.
• Similar signs and symptoms among diseases complicate accurate pathogen identification, leading to delayed treatment and overuse of chemicals.
• Effective disease management necessitates rapid and precise detection systems, especially in early infection stages with low pathogen loads.

Purpose of the Study:

• To provide a comprehensive overview of current and emerging diagnostic techniques for turfgrass pathogens.
• To highlight the potential of advanced methods for improving disease detection accuracy and efficiency.
• To guide researchers in selecting appropriate diagnostic methods based on their specific pathogen of interest.

Main Methods:

• Review of traditional diagnostic methods: symptom observation, morphology, and microscopy.
• Examination of nucleic acid detection and onsite detection techniques for rapid diagnosis.
• Exploration of advanced methods with high potential: high-throughput sequencing and remote sensing.

Main Results:

• Traditional methods are often limited in speed and specificity.
• Nucleic acid and onsite detection offer faster field-based diagnostics.
• High-throughput sequencing and remote sensing show promise for highly accurate and rapid disease identification.

Conclusions:

• Implementing advanced diagnostic techniques can lead to faster, more accurate turfgrass disease identification.
• Improved detection reduces disease-related damage and lowers the cost of control measures.
• Understanding the capabilities of various methods enables optimal selection for specific diagnostic needs in turfgrass management.