Unknown

Dataset Information

Exploring the size of reference population for expected accuracy of genomic prediction using simulated and real data in Japanese Black cattle.


ABSTRACT:

Background

Size of reference population is a crucial factor affecting the accuracy of prediction of the genomic estimated breeding value (GEBV). There are few studies in beef cattle that have compared accuracies achieved using real data to that achieved with simulated data and deterministic predictions. Thus, extent to which traits of interest affect accuracy of genomic prediction in Japanese Black cattle remains obscure. This study aimed to explore the size of reference population for expected accuracy of genomic prediction for simulated and carcass traits in Japanese Black cattle using a large amount of samples.

Results

A simulation analysis showed that heritability and size of reference population substantially impacted the accuracy of GEBV, whereas the number of quantita

SUBMITTER: Takeda M 

PROVIDER: S-EPMC8572443 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature