Senior Director - Statistics and Analytics Provivi Apex, North Carolina
Large-scale agricultural field trials are necessary to test the effectiveness of using pheromones to disrupt insect mating, and therefore decrease crop damage. Mating disruption is typically measured as a reduction in adult (male) moth trap counts. In this presentation, we present a novel model for trapping suppression that accounts for the inherent spatial and temporal correlations found in season-long, large-scale field trials. The model contains hierarchical non-linear processes that allow for a decrease in trapping reduction over time, while still allowing it to remain constant for the season if that is what the data suggest.
