Integrative Grapevine Phenotyping And Predictive Modeling
OIV-funded project linking plant physiology, metabolomics, UAV thermal sensing, gene expression, and AI-assisted forecasting under elevated temperature.
This project characterizes varietal responses to heatwave stress in Vitis vinifera by integrating multi-year physiological phenotyping, UAV-based thermal sensing, metabolomics, and gene expression profiling.
The central goal is to identify resilient genotypes and build predictive models that connect biological datasets with climate information. The work combines field and controlled-environment phenotyping, gas exchange, chlorophyll fluorescence, metabolite profiling, and systems-level analysis to define trait signatures and performance thresholds under future warming scenarios.
Role: PI
Funding: International Organisation of Vine and Wine (OIV), 2023-2026
Methods: UAV thermal sensing, gas exchange, chlorophyll fluorescence, metabolomics, gene expression profiling, multivariate analysis, network analysis, and AI-assisted predictive modeling.