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bioRxiv · 10.1101/2020.09.01.278242

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

Moeinizade, S.·Han, Y.·Pham, H.·Hu, G.·Wang, L.
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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.

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Moeinizade, S., Han, Y., Pham, H., Hu, G., Wang, L.. 2020-09-02. A Look-ahead Monte Carlo Simulation Method for Improving Parental Selection in Trait Introgression. https://doi.org/10.1101/2020.09.01.278242

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