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.

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.

Copyright Owner

Blackwell Verlag GmbH

Language

en

File Format

application/pdf

Available for download on Thursday, September 05, 2019

Published Version

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