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 prioritise accuracy, value speed, and pride themselves on innovation.

Enrich Your ASReml-R Statistical Modelling Software Experience

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.

ASReml-R: Where Speed Meets Accuracy

ASReml-R is statistical analysis software that offers advanced capabilities for analysing complex data sets. ASReml-R fits complex models faster. Whether it's thousands of levels, multiple environments or traits, or dense relationship matrices, ASReml-R has you covered.

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.
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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 Demo

Take a tour of ASReml-R with our interactive demo, taking you through 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.