Genomic prediction is a method that fits phenotypic observations to a mathematical model where a population's genomic markers and covariates are used as predictors of each individual's genetic performance.

NSIP uses predictive breeding technologies to:

• Increase efficiency through reduced need for replication
• Focus on traits with genetic signal (heritability)
• Execute multi-trait selection decisions through trade-off analysis
• Methodically integrate heterogeneous data from multiple sources
• Incorporate the outcomes of future progeny performance into current decisions

NSIP’s predictive technologies have nearly 20 years of both internal validation and empirical evidence of response to selection in active breeding and trialing programs.​