a simple model for simulation of growth, development and yield of faba bean in golestan province

to predict growth and yield, it is needed to study sub-models of phenology, dry matter production and partitioning, leaf area and soil water balance. in the present study, for predicting yield of faba bean under gorgan conditions, parameters of sub-models were estimated using data of planting dates in gorgan and data of other researchers in different regions of world. daily variations of phenology, dry matter, leaf area and soil water balance were estimated using model and then final yield was predicted at the end of the growth season. observed yields were between 2500 and 4520 kg/ha, with average yield 3422 kg/ha; while the predicted yields were ranged between 2820 and 3950 kg/ha, with average yield 3478 kg/ha. in this study, all points were in the rang of 85% from 1:1. the value of r2 was 0.67. in addition, values of rmsd and cv were 521 kg/ha and 3.9%, respectively. therefore, it was concluded that this model has suitable precision for predicting yield under gorgan conditions.