NSIP Ecosystem enables turn-key and custom analysis and decision-making via two powerful, user-friendly software environments: 
and 
.
Sample linking & data completion
- Sample to data alignment
- Relationship estimation
- Missing value imputation
Trial precision & measurement reliability
- Spatial modeling and correction
- Repeatability estimation
Genetic differentiation & environmental response
- Genetic signal optimization
- GxE optimization
Forward prediction
- Progeny distribution and segregant sets
- Multi-trait performance and diversity
is built to address three critical requirements of breeders and their stakeholders:
Consistency and transparency of analyses
Breeders and their stakeholders remain central to the decision-making process, empowered and not replaced by optimized predictive breeding technologies. Consistent reporting and data visualizations support confident execution of optimized recommendations.
Automation of routine processes
Ad hoc analyses waste critical time being rebuilt each breeding cycle when deadlines are tight. Targeted automation — with full transparency of its outcomes — is a critical consideration for successful routine implementation of predictive breeding.
Power and flexibility to solve novel problems
Novel challenges often build on established computational components or depend on earlier stages of analysis. Ecosystem’s flexible Workflows environment supports the immediate reuse and integration of common components, enabling new problems to be addressed efficiently without rebuilding proven approaches.