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Operations Research (OR) is a field of study that aims to arrive at optimal or near-optimal solutions to complex decision-making problems using techniques from several fields of mathematical sciences.
“… the application of advanced analytical methods to help make better decisions” — INFORMS
“… quantitative common sense”— T.L. Saaty, 1959
“… the art of giving bad answers to problems which otherwise have worse answers”— T.L. Saaty, 1959
NSIP Genetics was founded in 2006 to combine this powerful decision-making framework with cutting edge predictive breeding technologies. Our founder, Dr. Steven Tanksley, recognized that modern plant breeding requires a multidisciplinary approach built on the proven foundation of OR.
NSIP’s optimization framework replaces intuition and luck with a formal approach to decision-making that maximizes efficiency and the rate of success.
Optimal breeding decisions identify networks of selections, crosses, and breeding data that efficiently balance multi-trait breeding, genetic gain, and risk mitigation goals. NSIP continues to pioneer the computational and mathematical technologies required to navigate these vast decision spaces.
Selection and Advancement
Crosses
Optimized Training Sets
