About
Dr. Phil Alderman is an Associate Professor in the Department of Plant and Soil Sciences at Oklahoma State University. His work focuses on sustainable farming systems, leveraging computational modeling, Bayesian analysis, and high performance computing to address climate and agricultural challenges. He leads research on crop ecophysiology, particularly in winter wheat, and collaborates on projects involving genotype-specific parameter estimation and climate resilience. Dr. Alderman holds a PhD in Agronomy from the University of Florida (2013) and has contributed to numerous grants and collaborations, including projects on digital twin modeling for cotton and wheat disease resistance.
Research Interests: Sustainable agriculture, computational modeling, crop-climate interactions, and precision agriculture. He investigates how weather, soil, and crop genetics influence agricultural resilience in the face of climate change. Recent work emphasizes improving crop models for better yield predictions under drought and temperature stress.
Key Articles: Focus on crop model calibration, gridded drought assessments, and Bayesian approaches in wheat growth modeling. His publications address challenges in parameter estimation, climate trend analysis, and optimizing agricultural practices for sustainability.
Advising & Grants: Active in supervising graduate students through thesis and practicum programs. Leads grants totaling over $5M, including projects on digital twin modeling, wheat disease resistance, and AI-driven agricultural solutions.
Labs/Teams: Involved in interdisciplinary teams developing high-performance computing frameworks for crop modeling (e.g., DSSAT-CSM) and phenomics/genomics integration for crop improvement.
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