Campus Units

Electrical and Computer Engineering, Industrial and Manufacturing Systems Engineering, Bioeconomy Institute (BEI)

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

1-2020

Journal or Book Title

Crop Science

Volume

60

Issue

1

First Page

149

Last Page

156

Research Focus Area(s)

​Operations Research

DOI

10.1002/csc2.20070

Abstract

Genomic selection is a technique that breeders use to select plant or animal individuals to mate and produce new generations of species. The conventional selection method is to select individuals that are either observed or predicted to be the best based on the assumption that parents with better phenotypes will produce better offspring. A major limitation of this method is its focus on the short‐term genetic gains at the cost of genetic diversity and long‐term growth potential. Recently, several new genomic selection methods were proposed to maximize the long‐term potential. Along this research direction, we propose a new method, the complementarity‐based selection strategy (CBS), to improve the tradeoff between short‐term genetic gain and long‐term potential. This approach is inspired by the genetic compatibility mate‐choice mechanism in animals. Our selection method selects the individual with the highest genomic estimated breeding value to emphasize short‐term achievement and then pairs it with the individual that is the most complementary to the one with highest genomic estimated breeding value to emphasize the long‐term growth potential. The CBS method allows favorable alleles to be accounted for within the selection and more of them to be included. We present simulation results that compare the performance of the new method against the state‐of‐the‐art methods in the literature and show that the CBS approach has a great potential to further improve long‐term response in genomic selection.

Comments

This is the peer-reviewed version of the following article: Moeinizade, Saba, Megan Wellner, Guiping Hu, and Lizhi Wang. "Complementarity‐based selection strategy for genomic selection." Crop Science 60, no. 1 (2020): 149-156, which has been published in final form at DOI: 10.1002/csc2.20070 This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. Posted with permission.

Copyright Owner

The Authors. Crop Science. Crop Science Society of America.

Language

en

File Format

application/pdf

Published Version

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