RT Journal Article
SR Electronic
T1 A Look-ahead Monte Carlo Simulation Method for Improving Parental Selection in Trait Introgression
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2020.09.01.278242
DO 10.1101/2020.09.01.278242
A1 Saba Moeinizade
A1 Ye Han
A1 Hieu Pham
A1 Guiping Hu
A1 Lizhi Wang
YR 2020
UL http://biorxiv.org/content/early/2020/09/02/2020.09.01.278242.abstract
AB Multiple trait introgression is the process by which multiple desirable traits are converted from a donor to a recipient cultivar through backcrossing and selfing. The goal of this procedure is to recover all the attributes of the recipient cultivar, with the addition of the specified desirable traits. A crucial step in this process is the selection of parents to form new crosses. In this study, we propose a new selection approach that estimates the genetic distribution of the progeny of backcrosses after multiple generations using information of recombination events. To demonstrate the effectiveness of the proposed method, a case study has been conducted using maize data where our method is compared with state-of-the-art approaches. Simulation results suggest that the proposed method, look-ahead Monte Carlo, achieves higher probability of success than existing approaches.Competing Interest StatementThe authors have declared no competing interest.