Quantifying genomic connectedness and prediction accuracy from additive and non-additive gene actions.

ABSTRACT:

Background

Genetic connectedness is classically used as an indication of the risk associated with breeding value comparisons across management units because genetic evaluations based on best linear unbiased prediction rely for their success on sufficient linkage among different units. In the whole-genome prediction era, the concept of genetic connectedness can be extended to measure a connectedness level between reference and validation sets. However, little is known regarding (1) the impact of non-additive gene action on genomic connectedness measures and (2) the relationship between the estimated level of connectedness and prediction accuracy in the presence of non-additive genetic variation.

Results

We evaluated the extent to which non-additive kernel relationship matrice

SUBMITTER: Momen M 

PROVIDER: S-EPMC6142710 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature