Numerous production factors influence crop productivity, though their contributions are not equally significant. This ecophysiological work evaluated the impact of soil and climate factors on the physiological functions that influence the productivity of maize and sorghum on ten plots of 400 m² in agroforestry parklands located in the central-western region of Burkina Faso. The methodology followed by a developed mathematical model reveals that the most significant physiological processes influencing yield are linear electron flow in sorghum and the leaf area index in maize, respectively. Sorghum productivity was correlated with total soil silt, whereas maize productivity was correlated with total soil nitrogen and phosphorus, with R-values of -0.59, -0.76, and -0.88, respectively. A predictive model, based on the best subset regression, revealed that leaf area index and nitrogen accounted for 97% of maize above-ground biomass yield (R² = 0.97; p < 0.001). In sorghum, the optimal model showed that linear electron flow, total soil silt, and total soil phosphorus were the best contributors to aboveground biomass yield with a determination coefficient of 83% (R² = 0.83; p < 0.001).

Abiotic stress, responses, crops, growth, yield, parklands.