Alan D. Severini

This study evaluates wheat yield predictions under combined CO2, warming, and water deficit conditions using APSIM and STICS models, finding significant prediction errors under combined stress.

The paper assesses climate factors' associations with chickpea yield and identifies spatial probabilistic patterns of heat and water stress in Australia, showing increased stress frequency with climate change.

The paper develops a daily time-step hierarchical model to predict soybean development across maturity groups in the Southern Cone, finding that phenology determinants mainly affect vegetative and early reproductive stages.