Campus Units

Agronomy, Industrial and Manufacturing Systems Engineering

Document Type

Article

Publication Version

Published Version

Publication Date

2017

Journal or Book Title

Theoretical and Applied Genetics

First Page

1

Last Page

12

DOI

10.1007/s00122-017-2938-9

Abstract

We demonstrate an innovative approach for designing Trait Introgression (TI) projects based on optimization principles from Operations Research. If the designs of TI projects are based on clear and measurable objectives, they can be translated into mathematical models with decision variables and constraints that can be translated into Pareto optimality plots associated with any arbitrary selection strategy. The Pareto plots can be used to make rational decisions concerning the trade-offs between maximizing the probability of success while minimizing costs and time. The systematic rigor associated with a cost, time and probability of success (CTP) framework is well suited to designing TI projects that require dynamic decision making. The CTP framework also revealed that previously identified ‘best’ strategies can be improved to be at least twice as effective without increasing time or expenses.

Comments

This article is published as Cameron, J.N., Han, Y., Wang, L. et al. Theor Appl Genet (2017). doi:10.1007/s00122-017-2938-9. Posted with permission.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Copyright Owner

The Authors

Language

en

File Format

application/pdf

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