Limited theoretical and empirical work have been conducted to synthetize multiple treatment experiments commonly used in agricultural field sciences. The main objective of this study was to extend the current meta-analysis literature by developing a flexible econometric model to evaluate multiple treatment data. The proposed method is based on random effects meta-regression and mixed effects models. The model is illustrated on a publicly available series of nitrogen field experiments on corn production in the upper Midwestern United States. Stochastic plateau theory integrated with econometric meta-analysis methodology was used to determine the agronomic optimal nitrogen application rate and shape of the functional form of corresponding yield potential.