ASReml is powerful statistical software specially designed for mixed models using Residual Maximum Likelihood (REML) to estimate the parameters. Linear mixed effects models provide a rich and flexible tool for the analysis of many data sets commonly arising in animal, plant and aqua breeding, agriculture, environmental sciences and medical sciences.
Features of ASReml
Balanced and unbalanced longitudinal data
Repeated measures data (multivariate analysis of variance and spline type models)
Balanced and unbalanced experimental designs
Multi-environment trials and meta analysis
Univariate and multivariate animal breeding and genetics data (involving a relationship matrix for correlated effects)
Regular or irregular spatial data
Our analytics and consulting services are used across the globe by seed, plant, aqua and animal breeding companies, helping them develop new varieties, strains, stocks and breeds.