Using agent-based models to predict pollen deposition in a dioecious crop
M. A. Broussard, M. Jochym, N. Tomer, L. Jesson, A. K. Shaw, D. W. Crowder, N. A. Bosque-Perez, J. Li, A. Peace, D. Fonseka, B. Howlett, D. E. Pattemore
The paper develops an agent-based model to predict pollen deposition in a dioecious crop by integrating plant-pollinator interactions and management scenarios.
bioRxiv · Jul 28, 2022 · PreprintEcology