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ASRtriala can be used in R without an ASReml-R license where it can be used to prepare messy data sets for analysis. However, the exceptional benefits of ASRtriala are best achieved when using it together with ASReml-R. 

ASReml-R is fast and powerful statistical software specially designed for mixed models using REML to estimate the parameters in an R environment. Rigorously tested to ensure it meets the highest levels of statistical and scientific credibility, ASReml-R is the go-to analytical tool for thousands of scientists and researchers for its quality and efficient analysis of large and complex datasets.

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Combine with ASReml-R for exceptional results

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ASRtriala is a pipeline offering two-stage analyses of single and multi-environment trials. On completion of stage 1 (spatial and non-spatial models selector), you will have your final output and/or predictions for your single trial analysis. If moving onto stage 2 (multi-environment trial analysis), ASRtriala assists in understanding the dynamic of genotype-by-environment (GxE) correlations.

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ASRtriala two-stage analyses routines

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ASRtriala is free and is only available to download via the ASReml Knowledge Base. The perfect partner for ASReml-R.

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How to download

For breeding programs with several years of trial data, ASRtriala helps to efficiently combine and analyse multiple datasets to make the most of your investment in phenotypic data.

Efficient use of accumulated trial data

ASRtriala is constructed around a workflow for multi-environmental trial analyses that takes you from exploring the raw data to the final selection of your genotypes using flexible functions.

Complete data-to-decision workflow

Robust integration with ASReml-R improves performance and reduces the risk of error. ASRtriala helps users to run ASReml-R models and interacts with ASReml-R using simpler functions to make it even easier to use.

Built with ASReml-R in mind

ASRtriala assists in model selection for your single (spatial or non-spatial) or multi-environment analyses. It helps with choosing the ‘best’ model for your data, making your analysis, quicker, simpler and easier to use on downstream evaluations.

Best model selection

The models and methods used in ASRtriala are based on extensive and proven statistical research as well as practical experience, giving you the confidence that you are using innovative analytical procedures.

Designed and developed by statisticians

ASRtriala has tools that assist in understanding the dynamic of genotype-by-environment (GxE) interaction. This can be used to redefine breeding zones and assist in the selection of genotypes according to their GxE patterns.

Explores GxE patterns for selection

ASRtriala features a fully efficient two-stage multi-environment (MET) pipeline that ensures minimal information is lost in the analysis process. Relevant data from the first stage (single trial analysis) is collected and passed to the second stage (multi-environment trial analysis). ASRtriala is designed to keep any loss of data to a minimum providing considerably more robust analyses and accurate results.

Two-stage analysis with minimum loss of information

In single-trial analyses, ASRtriala helps you choose the spatial (or non-spatial) model that best describes the field trends and/or micro-site variability. This guarantees optimally adjusted predictions for use in single- or multi-environment trial analysis, in future genomic prediction models or GWAS.

Semi-automatic spatial (and non-spatial) model selector

Features of ASRtriala

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ASRtriala is a free R tool designed to give plant breeders more in-depth analyses of their single and multi-environment trials. It makes field trial analyses quicker, simpler and easier to conduct particularly with accumulated trial data.