About the Plant Genomics
Plant genomics is fundamentally transforming our capacity to understand, improve, and steward the crops that sustain our world. This special track provides a rigorous and welcoming platform for researchers to share cutting-edge contributions across the full spectrum of genomic research that drives innovation in modern agriculture. We convene experts working in genomics, transcriptomics, epigenetics, metabolomics, phenotyping, quantitative genetics, systems biology, bioinformatics, and field-based studies. The track emphasizes how these complementary, multi-disciplinary approaches collectively generate richer, more actionable insights into plant function and performance.
We invite submissions that explore a wide range of genomic research, including but not limited to:

Omics and Systems Biology

-Genomics and Transcriptomics: Novel approaches in genome sequencing, annotation, and functional analysis of plant genes, including studies on gene expression and regulation in response to environmental cues.

-Epigenetics and Metabolomics: Research on epigenetic mechanisms (e.g., DNA methylation, histone modification) and their role in plant adaptation, as well as comprehensive analysis of plant metabolic pathways and their interaction with the environment.

-Quantitative Genetics and Systems Biology: Studies utilizing quantitative trait loci (QTL) mapping, genome-wide association studies (GWAS), and genomic selection (GS) to understand complex traits, and the application of systems biology to model and predict plant function and performance.



Computational Methods and Bioinformatics

-Bioinformatics and Data Integration: Development of new computational tools, algorithms, and databases for handling and integrating large-scale multi-omics and phenotyping data.

-Computational Method Development: Novel statistical and machine learning approaches for analyzing plant genomic data, predicting gene function, and modeling complex biological processes.

-Artificial Intelligence in Plant Science: Application of AI and deep learning for genomic prediction, trait identification, and optimizing precision agriculture strategies.

-Phylogenomics: Explore the evolutionary relationships within and across plant species, leveraging large-scale genomic data. Contributions may address topics such as phylogenomic inference to resolve complex plant lineages, the genomic basis of trait evolution in crops, or the use of phylogenetics to guide gene discovery and breeding strategies.



Phenotyping and Genome–Environment Interactions

-High-Throughput Phenotyping (HTP): Development and application of advanced sensing technologies (e.g., remote sensing, drones, robotics) for rapid, non-destructive measurement of plant traits in field conditions.

-Genome–Environment Interactions (GxE): Research focused on understanding how genetic variation influences plant performance across diverse environmental conditions, including studies on stress tolerance and resource use efficiency.

-Field-Based Studies: Rigorous field trials and experimental designs that link molecular data with real-world agricultural performance and environmental data.



Plant Improvement and Translational Applications

-Translational Genomics for Plant Improvement: Application of genomic insights to accelerate breeding programs, including the development of climate-resilient and high-yielding plant varieties.

-Precision Agriculture Integration: Studies on integrating genomic and phenomic data with site-specific management practices (e.g., variable rate fertilization, irrigation) to optimize plant production.

-Sustainable Agriculture Solutions: Research that leverages plant genomics to enhance the sustainability of agricultural systems, such as improving nutrient use efficiency and reducing environmental impact.