ASReml-R | R Statistical Analysis Software | VSNi

ASReml-R | Powerful Analytics for Plant, Animal, Forestry & Aqua

Achieve the true potential of your data with ASReml-R Linear Mixed Model software using R

Interactive Demo


Knowledge Base


Tutorial Videos




User Guides



Unparalleled flexibility, speed and accuracy for linear mixed models

ASReml-R is ideal for teams that prioritize accuracy, value speed, and pride themselves on innovation.

Free tools to enrich ASReml-R

Created by VSNi, these free R statistical software packages offer exceptional benefits to enhance your analysis experience.
Accurate and flexible Genome Wide Association analysis with ASReml-R
ASRtriala is a free R tool designed to give plant breeders more in-depth analyses of their single and multi-environment trials.
FREE tool to help you explore and prepare your phenotypic and genomic datasets ready for analysis using any R packages.

How to Use ASReml-R Statistical Analysis Software

Why not try our interactive demo, complete some e-Learning or watch our helpful video to find out how you can use our ASReml-R statistical modelling software to analyse complex data sets?

ASReml-R 4.2 - processing speed gains

ASReml-R 4.2 delivers impressive gains in processing speed. These gains depend upon a variety of factors including: microprocessor, machine power, dataset size and type of analysis run, among others, and they will vary between users. Below are some example gains the ASReml team were able to quantify.
alt text
Additional notes: Computer specifications: Intel(R) Core(TM) i7-3770K CPU @ 3.50GHz, 16 Gb of RAM, Ubuntu 20.04 LTS.  Analyses were carried out setting asreml.options(threads = 1, use.blas = “standard”) in ASReml-R 4.2. Further speed improvements can be achieved by increasing the number of threads and enabling Intel’s Math Kernel Library (MKL).

ASReml-R Statistical Modelling Software Demos

Take a tour of ASReml-R with our interactive demos, taking you through several analyses, pre-loaded with sample data to easily get you started.

Hierarchical model with ASReml

In this interactive demo you will specify a linear mixed model with nested random effects to identify each stratum, then fit a multi-level model and explore variance components to identify the main factors that affect the variability

ASReml-R Case Studies

Our statistical analytics software and consulting services are chosen by seed, plant, aqua and animal breeding companies worldwide to support and inform the development of new varieties, strains, stocks and breeds.