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ASReml-R - Robust Statistical Analysis ...

ASReml-R - Robust Statistical Analysis Software for Linear Mixed Models

ASReml-R is a powerful statistical analysis software designed for the R environment, specifically targeting linear mixed models (LMMs). This software provides advanced capabilities for analyzing complex and large datasets frequently encountered in fields like animal breeding, plant sciences, aquaculture, agriculture, and environmental sciences. Using Restricted Maximum Likelihood (REML) estimation, ASReml-R ensures a precise estimation of model parameters, minimizing biases typically linked with maximum likelihood estimation in mixed models. Version 4.2 of ASReml-R introduces significant enhancements in speed, offering genomic predictions up to 85 times faster and streamlining complex multi-trait and multi-environment analyses by up to 40 times. ASReml-R supports a wide array of complex data structures, including nested and crossed effects, spatial analyses, and multi-environment trials. Its seamless integration in the R environment facilitates comprehensive analysis through compatibility with other R packages, making it an indispensable tool for researchers aiming to unlock the full potential of their data.

ASReml-R delivers faster results without compromising accuracy

Experience the capabilities of ASReml-R, a robust statistical analysis software specifically developed for linear mixed models. It harnesses the power of linear mixed-effects models to provide a versatile and adaptable solution for analyzing various types of large and complex data sets commonly encountered in animal, plant, and aqua breeding, agriculture, environmental sciences, and medical sciences.

NEW**: ASReml-R 4.2 – Faster. More powerful!**

ASReml-R now performs Genomic Prediction up to 85 times faster, and complex multi-trait and multi-environment analyses are up to 40 times quicker!

Unparalleled flexibility, speed and accuracy for linear mixed models

Powerful Analysis

ASReml-R is statistical analysis software that offers advanced capabilities for analyzing complex data sets. It incorporates REML estimation, which enables the precise estimation of model parameters and reduces bias often associated with maximum likelihood estimation in mixed models. This leads to improved precision in parameter estimation, increasing the reliability and accuracy of the statistical analysis.

Genomic Prediction and Selection

ASReml-R stands at the forefront of supporting breeding programs with advanced genomic prediction and selection capabilities. ASReml-R helps to make precise and informed decisions in selecting superior individuals for breeding. By leveraging cutting-edge statistical methodologies, ASReml-R can unlock hidden genetic potential and accelerate the genetic gain within breeding populations.

Complex Structures and Varied Effects

ASReml-R allows for nested and crossed effects, along with an array of complex structures on random effects and residuals. It accommodates spatial analyses, repeated measures, random regression, and correlated structures in breeding datasets.

Integration in the R Environment

ASReml-R is a tool for the R environment, leveraging the power and flexibility of R. Users can effortlessly combine ASReml-R's capabilities with other R packages, enabling a comprehensive and efficient analytical workflow.

Multi-Trait and Multi-Environment Analyses

ASReml-R supports multi-trait and multi-environment (MET) analyses, as well as complex matrices involved in genomic selection. It is the most flexible and fast LMM library/package available in R.

Adaptable

ASReml-R addresses various challenges such as high-dimensional models, incorporating pedigree and molecular data, managing bias from family lines, optimizing MET models, and improving the accuracy of breeding values.

Increased Efficiency

Faster analysis with ASReml-R allows users to process large and complex datasets quickly, saving valuable time. It excels in fitting LMMs and provides unparalleled flexibility and speed compared to many other mixed model tools.

Rigorous Testing and Updates

Developed by statisticians and geneticists, ASReml undergoes rigorous testing to ensure the highest statistical and scientific credibility levels. Updates are based on customer feedback to ensure the software stays at the forefront of scientific advancements.

Flexibility

With linear mixed-effects models, users gain a flexible framework for analyzing diverse data structures and accounting for both fixed and random effects. This adaptability makes the software suitable for a wide range of applications across various scientific disciplines.

Trusted and Widely Used

ASReml is used by over 10,000 professionals and is cited in thousands of research papers. Its accuracy and trustworthiness in data analysis are essential for achieving research goals.

Comprehensive Support

ASReml-R provides users with expert guidance and resources, including direct access to our support team, comprehensive documentation, statistical training materials, and video tutorials. We also offer training and consulting services to further assist users.

Accompanying Tools

ASRem-R offers free supplementary software packages to manage and prepare data, enabling special analyses to further enhance the capabilities of ASReml-R. These packages provide additional functionality and enable researchers to extract even greater insights and efficiencies from their data analysis pipelines.

ASReml-R addresses various challenges, such as multi-trait, multi-crop, and multi-location breeding analysis, expanding crop range, improving MET models, incorporating genetic and pedigree data, implementing genomic prediction/selection, and analyzing large phenotypic and genotypic datasets all with enhanced computational efficiency.

Model Acceleration

ASReml-R offers various methods, including sparse analysis, to accelerate models with a high number of factors. This includes models with thousands of levels for fixed or random effects; models with several environments or traits fitted simultaneously, and models with dense relationship matrices (such as GBLUP), to name a few.

Enhanced Computational Efficiency

ASReml-R allows enhanced computational efficiency throughout the analysis process, allowing users to optimize their workflow and fit complex models faster.

Adaptive Model Flexibility

ASReml-R enables users to fit complex and flexible models, incorporating unique variance components for each environment/location, and easily integrating pedigree and molecular data.

Pedigree and Molecular Data

By seamlessly incorporating pedigree, molecular and other omics data, ASReml-R enhances the accuracy and depth of analyses, empowering users to make more informed decisions.

Enhance Breeding Programs

ASReml-R contributes to the improvement of breeding programs by incorporating pedigree data, managing bias from family lines, optimizing MET models, and facilitating the transition from BLUES to BLUPS, resulting in more successful outcomes.