Impact of sub-setting the data of the main Limousin beef cattle population on the estimates of across-country genetic correlations.

ABSTRACT:

Background

Cattle international genetic evaluations allow the comparison of estimated breeding values (EBV) across different environments, i.e. countries. For international evaluations, across-country genetic correlations (r_g) need to be estimated. However, lack of convergence of the estimated parameters and high standard errors of the r_g are often experienced for beef cattle populations due to limited across-country genetic connections. Furthermore, using all available genetic connections to estimate r_g is prohibitive due to computational constraints, thus sub-setting the data is necessary. Our objective was to investigate and compare the impact of strategies of data sub-setting on estimated across-country r_g and their computational requ

SUBMITTER: Bonifazi R 

PROVIDER: S-EPMC7310393 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature