Yousry Aly El-Kassaby

Weighted Kernels Improve Multi-Environment Genomic Prediction

This paper develops a genomic selection framework using weighted kernels to improve multi-environment prediction by incorporating genetic associations and population characteristics, achieving up to 31% higher predictability in winter wheat.

Inter- and Intra-Generation Genomic Predictions for Douglas-fir Growth in Unobserved Environments

The paper improves genomic prediction accuracy for Douglas-fir growth in unobserved environments by incorporating environmental covariates and genotype-by-environment interactions in a reaction-norm model using ssGBLUP.

SNP Variable Selection by Generalized Graph Domination

This paper introduces a SNP variable selection method using k-dominating set graph theory and demonstrates its effectiveness in pedigree reconstruction and species delineation.