Performance Of Pedigree And Various Forms Of Marker-Derived Relationship Coefficients In Genomic Prediction And Their Correlations

In recent years, with development and validation of different genotyping panels, several methods have been proposed to build efficient similarity matrices among individuals to be used for genomic selection. Consequently, the estimated genetic parameters from such information may deviate from their counterpart using traditional family information. In this study, we used a pedigree-based numerator relationship matrix (A) and three types of marker-based relationship matrices (G) including two identical by descent, that is GK and GM and one identical by state, GV as well as four Gaussian kernel (GK) similarity kernels with different smoothing parameters to predict yet to be observed phenotypes. Also, we used different kinship matrices that are a linear combination of marker-derived IBD or IBS matrices with A, constructed as K=lambda G+更多