Plant breeders continually must make decisions in the context of conflicting objectives, vast but imperfect data, short deadlines, and consequences that can take years to be realized. NSIP tackles uncertainty and indecision using optimiz...
Is plant breeding a science, an art, or a game of chance? It takes all three, but ultimately it's an exercise in resource allocation. Each year, breeders must decide how to deploy limited budgets—how many crosses to make, which parents t...
When gains lag, standards slip, and timelines drag, the problem often isn't ambition—it's that breeding goals get “lost in translation” on the way to day-to-day decisions.
In NSIP's approach to breeding, design specifications are t...
In commercial plant breeding, genetic diversity provides the raw and refined components needed to drive product development. Effective management of both broad- and fine-scale diversity throughout pre-breeding, trialing, and commercializ...
Every blockbuster variety in a seed company's portfolio can be traced back to a single breeding-start cross: The initial decision to mate two parent lines. That early choice establishes the majority of genetic combinations that a breeder...
Operations Research (OR) is a technical discipline concerned with making better decisions through mathematical, statistical, and computational modeling. By transforming complex real-world problems into structured analytical frameworks, O...
AI is a label applied to almost everything these days, often without much care or precision. Sometimes “AI” is a fresh coat of paint to reinvent well-proven computational methods. And sometimes “AI” is synonymous with truly new technolog...
This month (April 2026) marks the 25th anniversary of Meuwissen et al.’s 2001 foundational Genetics paper showing the conceptual feasibility of genomic prediction and selection. Time has shown that while the science of pre...
