Analysis of Yield-Density Models for Intercropping Experiments

Yield density models are used to describe the relationship between the yield of one or more crops and densities of planting. In this paper, we propose a correlated error structure for a linear yield‐density model for intercopping and competition experiments. Four possible estimators of the parameters of the error structure are evaluated using a Monte Carlo study. The estimators are compared on the basis of gain in efficiency as measured by the generalized variance. An example is provided.