Genomic Selection using Single Trait
Genomic Selection using Artificial Neural Networks(ANN)
Genomic Selection using Best Linear Unbiased Prediction (BLUP).
Genotyping and phenotypic dataset for wheat
Genomic Selection using Least Absolute Shrinkage and Selection Operato...
Genomic Selection using Random Forest
Genomic Selection using Ridge Regression (RR)
Genomic Selection using Support Vector Machine (SVM)
Genomic Selection (GS) is a latest development in animal and plant breeding where whole genome markers information is used to predict genetic merit of an individuals in a practical breeding programme. GS is one of the promising tool for improving genetic gain in animal and plants in today’s scenario. This package is basically developed for genomic predictions by estimating marker effects. These marker effects further used for calculation of genotypic merit of individual i.e. genome estimated breeding values (GEBVs). Genomic selection may be based on single trait or multi traits information. This package performs genomic selection only for single traits hence named as STGS i.e. single trait genomic selection. STGS is a comprehensive package which gives single step solution for genomic selection based on most commonly used statistical methods.