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Table 7 Benefits of integrating omics data and advanced imaging in plant pathogen detection and management

From: High-throughput sequencing in plant disease management: a comprehensive review of benefits, challenges, and future perspectives

Benefit

Description

Applications

Challenges

Reference

Novel Insights

Integration of omics data provides a comprehensive view of plant-pathogen interactions, uncovering novel insights

Pathogen research, disease-resistant crop development, understanding plant defense mechanisms

Data integration, computational complexity, and understanding of biological systems

Großkinsky et al. (2018)

New Intervention Targets

Understanding plant-pathogen interactions helps identify new intervention targets, such as genes, proteins, or metabolites

Targeted gene editing, new crop protection chemicals, and natural resistance mechanisms for breeding

Target validation, off-target effects, regulatory hurdles

Rato et al. (2021)

Effective Management Strategies

A comprehensive understanding of plant-pathogen interactions facilitates targeted and effective disease management strategies

Disease-resistant plant breeding, innovative control agents, optimizing existing management practices

Balancing resistance and agronomic performance, resistance-breaking pathogens, economic considerations

Nelson (2020)

Early Detection and Monitoring

The synergy between HTS and advanced imaging enables early detection and monitoring of plant diseases at the field level

Remote sensing for monitoring, early warning systems, and improved decision-making for disease management

Sensing and imaging limitations, data storage and processing, and translating data to actionable information

Oerke (2020)

Precision Agriculture

Integrating omics data and advanced imaging contributes to precision agriculture, tailoring management decisions to individual plants or fields

Site-specific management, crop input optimization, sustainable practices, improved crop productivity, and resource efficiency

Initial investment costs, farmer adoption and education, data privacy concerns, and infrastructure requirements

Holzinger et al. (2023)