A Look-ahead Monte Carlo Simulation Method for Improving Parental Selection in Trait Introgression

Published: Sept. 2, 2020, 10:02 a.m.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.09.01.278242v1?rss=1 Authors: Moeinizade, S., Han, Y., Pham, H., Hu, G., Wang, L. Abstract: 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. Copy rights belong to original authors. Visit the link for more info