Genomic Prediction of Hybrid Performance
Calculate Kinship Matrix
Convert Genotype
Generate Mating Design
Evaluate Trait Predictability via the HAT Method
Evaluate Trait Predictability via Cross Validation
Infer Genotype of Hybrids
Solve Mixed Model
Predict the Performance of Hybrids
Predict the Performance of Hybrids
Performs genomic prediction of hybrid performance using eight statistical methods including GBLUP, BayesB, RKHS, PLS, LASSO, EN, LightGBM and XGBoost along with additive and additive-dominance models. Users are able to incorporate parental phenotypic information in all methods based on their specific needs. (Xu S et al(2017) <doi:10.1534/g3.116.038059>; Xu Y et al (2021) <doi: 10.1111/pbi.13458>).