Estimation of genetic connectedness diagnostics based on prediction errors without the prediction error variance-covariance matrix.

ABSTRACT:

Background

An important issue in genetic evaluation is the comparability of random effects (breeding values), particularly between pairs of animals in different contemporary groups. This is usually referred to as genetic connectedness. While various measures of connectedness have been proposed in the literature, there is general agreement that the most appropriate measure is some function of the prediction error variance-covariance matrix. However, obtaining the prediction error variance-covariance matrix is computationally demanding for large-scale genetic evaluations. Many alternative statistics have been proposed that avoid the computational cost of obtaining the prediction error variance-covariance matrix, such as counts of genetic links between contemporary groups, gene flow m

SUBMITTER: Holmes JB 

PROVIDER: S-EPMC5439142 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature