Multi-omics Approaches in Agricultural Crops to Unravel Responses to Environmental Stresses and Advance Sustainable Agriculture
A special issue of Biology (ISSN 2079-7737). This special issue belongs to the section "Plant Science".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 70
Special Issue Editor
Special Issue Information
Dear Colleagues,
The rapidly changing climate and environmental conditions pose significant challenges to global food security and sustainability. Understanding the complex molecular, physiological, and epigenetic mechanisms underlying plant responses to environmental stresses is crucial for developing stress-tolerant, high-yielding, and nutritionally rich crop varieties. Multi-omics approaches in plant biology, including genomics, transcriptomics, proteomics, metabolomics, epigenomics, and phenomics, have emerged as powerful tools for dissecting the intricate networks of genes, proteins, metabolites, and epigenetic modifications involved in plant stress responses. This Special Issue aims to bring together cutting-edge research employing multi-omics approaches, data integration strategies, and systems biology techniques to unravel the functional genomics of crop plants under environmental stress conditions, with a particular focus on the impact on yield, quality, and nutritional properties. We welcome contributions that explore the potential of omics-driven breeding strategies, sustainable agricultural practices, and the role of beneficial microorganisms in developing climate-resilient and stress-tolerant crop varieties, ensuring food security, nutritional quality, and environmental sustainability in the face of global climate change.
Dr. Vito Butardo
Guest Editor
Manuscript Submission Information
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Keywords
- plant functional genomics
- environmental stress
- climate change
- crop yield
- crop quality
- nutritional properties
- omics approaches
- genomics
- transcriptomics
- proteomics
- metabolomics
- epigenomics
- phenomics
- stress-tolerant crops
- breeding strategies
- data integration
- systems biology
- sustainable agriculture
- underutilized crops
- orphan crops
- beneficial microorganisms
