The compression of fractionated sun-cured and dehydrated alfalfa chops was studied by fitting the compression data to five pressure density equations. The cubes were made from different mixtures of leaves and stems from either sun-cured alfalfa or artificially dried alfalfa. In general, the Cooper-Eaton model had the best fit for the data. However, the coefficient of multiple determination (R2 values) obtained were very low. Therefore, new statistical cube compaction models for sun-cured and dehydrated alfalfa were developed. Multiple linear regression analysis was performed, where density was considered as the dependent variable while pressure, holding time, and leaf content were considered as independent variables. The new models had better R2 values compared to the five

current models.