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ASReml-R Supplementary Packages

All of the software packages listed below are FREE.


ASRgwas is a comprehensive R package designed to perform Genome-Wide Association Studies (GWAS) using the modelling flexibility available in ASReml-R in an efficient and reliable way. This library assists with preparing data and matrices, and verifies that they are adequate to perform GWAS. In addition, it has a set of complementary functions to be used for post-GWAS analyses to help with interpretation, use of the output information, and obtaining graphical outputs.
The main tasks considered within ASRgwas are:

  • Preparing and auditing phenotypic and genomic data.
  • Fitting GWAS models and identifying significant markers.
  • Evaluating results and generating tables and graphical output.

Watch the video below to learn more or download the package from ASRgwas.


ASRtriala is a free to use R library. The package is aimed at plant breeders with the purpose of improving their experience, providing robust and in-depth analyses of their single and multi-environment trials. The main capabilities of the package include:

  • Auditing/preparing single-trial data and multi-environment trial data.
  • Fitting/selecting a single-trial model (spatial and non-spatial) using ASReml-R.
  • Fitting/selecting a multi-environment trial model using ASReml-R.
  • Enhancing output from multi-environment trial models.

Watch the video below to learn more or download the package from ASRtriala.


ASRgenomics is a package that presents a series of molecular and genetic routines in the R environment with the aim of assisting in analytical pipelines before and after the use of ASReml-R (or another library) to perform analyses such as Genomic Selection (GS) and/or Genome-Wide Association Studies (GWAS). The main tasks considered are:

  • Preparing/exploring pedigree/phenotypic data
  • Preparing/exploring genomic data
  • Complementing genomic breeding values.

Watch the video below to learn more or download the package from ASRgenomics.


ASExtras4 contains utility functions for the meta-analysis of a series of spatially defined field experiments. It includes functions for:

  • diagnostic plots for multi-environment experiments
  • summary methods for factor analytic models
  • variogram envelopes using parametric bootstrap.

You can read more and download the package from https://mmade.org/asextras4/.


asremlPlus augments the use of ASReml-R in fitting mixed models and packages generally in exploring prediction differences. You can read more and download the package from http://chris.brien.name/rpackages.

Updated on August 2, 2023

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