Synthesis of Tricot Data to Support Decision-Making in Crop Variety Evaluation

Dr. David Brown is a Postdoctoral Associate in Geospatial Data Science at Cornell University’s EQUAL-LAB, specializing in the intersection of plant breeding, data science, and decision support. In this presentation, he explores how synthesizing tricot data across studies can enhance statistical power and uncover meaningful patterns in crop variety evaluation. Drawing from real-world applications, he demonstrates how rank-based synthesis methods and geospatial analysis generate localized, decision-ready insights that bridge research and practice in agriculture.