Campus Units
Electrical and Computer Engineering, Industrial and Manufacturing Systems Engineering
Document Type
Article
Publication Version
Accepted Manuscript
Publication Date
2018
Journal or Book Title
Plant Breeding
Research Focus Area(s)
Operations Research
DOI
10.1111/pbr.12640
Abstract
Conventional genomic selection approaches use breeding values to evaluate individual plants or animals and to make selection decisions. Multiple variants of breeding values and selection approaches have been proposed, but they suffer two major limitations. First, selection decisions are not responsive to changes in time and resource availability. Second, selection decisions are not coordinated with related decisions such as mating and resource allocation. We present three new genomic selection approaches that attempt to address these two limitations, which were designed by engineering students in a class project at Iowa State University. Compared with previous approaches using the same data set from the literature, two of these engineering approaches were found to be comparable to the state of the art, and the third one significantly dominated all the previous approaches.
Copyright Owner
Blackwell Verlag GmbH
Copyright Date
2018
Language
en
File Format
application/pdf
Recommended Citation
Wang, Lizhi; Zhu, Guodong; Johnson, Will; and Kher, Mriga, "Three new approaches to genomic selection" (2018). Industrial and Manufacturing Systems Engineering Publications. 192.
https://lib.dr.iastate.edu/imse_pubs/192
Comments
This is the peer reviewed version of the following article: Wang, Lizhi, Guodong Zhu, Will Johnson, and Mriga Kher. "Three new approaches to genomic selection." Plant Breeding (2018), which has been published in final form at DOI: 10.1111/pbr.12640. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. Posted with permission.