Research Internship On Genotypic Data Improvement For Genomic Selection Of Spring Wheat
Current1. Comparison study of two genotyping platform and a new marker imputation methodology (PHG) for genomic prediction :- Big genotypic data processing (format change, filtering,...)- Genomic prediction using BGLR package with GBLUP and RKHS models- Cross-validation and prediction accuracy estimation (within and across year predictions, with varying training/testing sets ratios) - Other analysis (PCA, marker density, haplotype blocks...)-Leading publication of an article on the study2. Study of the introduction of QTL information in genomic prediction models to improve prediction accuracy :- GWAS using GAPIT package- Testing different marker weighting methodologies