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ASReml-SA 4.3
Faster Genomic and Multi-Environment Analysis
New performance and capability enhancements for genomic analyses, GRM-based models and multi-environment trial analyses.
Why analysis complexity is becoming a bottleneck
Modern breeding programmes are working with more data, more environments and increasingly complex models.
As computational demands increase, analysts may need to simplify models, test fewer alternatives or delay analyses to meet operational timelines, potentially limiting insight and slowing decision-making.
ASReml-SA 4.3 introduces new approaches that help reduce these bottlenecks and make complex analyses more practical to run, refine and compare.
Where ASReml-SA 4.3 Delivers More
Reduce Runtime in Complex MET Analyses
Improved efficiency for complex MET analyses, including factor analytic models and genetic model trimming.
Accelerate Large-Scale Genomic Workflows
Enhanced genomic relationship matrices (GRMs) handling can significantly improve computational efficiency in genomic analysis
New Genomic Modelling Capability
Support for H matrices, dominance matrices and epistatic relationship matrices gives you greater modelling flexibility.
Increase Analytical Throughput
Run, refine and compare more models within the same timeframe and make better use of your analytical resources.
Built for computationally demanding workflows
In benchmarking examples, ASReml-SA 4.3 delivered significant performance improvements across a range of complex workflows.
3–4×
Performance improvements demonstrated in some MET workflows.
10×
Performance improvements demonstrated in some genomic workflows.
Performance improvements depend on model structure, dataset characteristics and computing environment.
What does this mean for your analyses?
ASReml-SA 4.3 helps teams make the most of their data and meet real-world analysis deadlines with greater confidence.
How can this help multi-environment trial analysis?
ASReml-SA 4.3 introduces improvements for factor analytic models, reduced rank models and genetic model trimming. These enhancements can help reduce runtime in complex multi-environment analyses and support faster iteration between model specifications
How can this help genomic workflows?
New eigen-transformation capabilities and enhanced GRM handling can significantly improve computational efficiency in genomic analyses involving large relationship matrices.
How can this improve analytical throughput?
Reducing computational barriers allows teams to complete more analyses within the same timeframe, helping analysts test more alternatives and make better use of available computing resources.
How can this support breeding programmes?
By making complex analyses more practical to run and refine, ASReml-SA 4.3 helps organisations make better use of genomic and multi-environment data within real decision timelines.
Who will benefit most?
ASReml-SA 4.3 is used by organisations across a wide range of species and sectors.
Plant breeding
Crops, turf, omamentals and horticulture
Animal breeding
Livestock improvement programmes
Forestry breeding
Tree improvement and conservation
Aquaculture breeding
Aquatic breeding programmes
Research Organisations
& Universities
Teaching, public and private research institutes
Ready to explore ASReml-SA 4.3?
Whether you’re already using ASReml-SA or evaluating solutions for complex breeding and genetic analyses, we’d be happy to discuss your requirements.