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Accurate genomic selection using low-density SNP panels preselected by maximum likelihood estimation

2024-01-01

Abstract excerpt

Genomic selection (GS) poses a challenge for the prediction of the genomic estimated breeding value (GEBV) using a low-density SNP panel. Several methods have been proposed for SNP preselection. However, these methods often suffer from either significant computational complexity or erratic accuracy in GS. In this study, we developed an approach called MLE-rank based on maximum likelihood estimation to preselect a...

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Literature Corpus work
2a5895e0-6d3e-50f3-a321-74f810a42b70
DOI
10.1016/j.aquaculture.2023.740154
Open publication

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Accurate genomic selection using low-density SNP panels preselected by maximum likelihood estimationDOI 10.1016/j.aquaculture.2023.740154
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