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.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Copyright Owner
The Authors
Copyright Date
2017
Language
en
File Format
application/pdf
Recommended Citation
Cameron, John N.; Han, Ye; Wang, Lizhi; and Beavis, William D., "Systematic design for trait introgression projects" (2017). Industrial and Manufacturing Systems Engineering Publications. 148.
https://lib.dr.iastate.edu/imse_pubs/148
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.