Bayesian genomic models boost prediction accuracy for survival to Streptococcus agalactiae infection in Nile tilapia (Oreochromus nilioticus).

Rajesh JoshiAnders SkaarudAlejandro Tola AlvarezThomas MoenJørgen Ødegård

Published in: Genetics, selection, evolution : GSE (2021)

These results demonstrate the potential of genomic selection for survival to S. agalactiae infection in Nile tilapia. Compared to the PBLUP and GBLUP models, Bayesian genomic models were found to boost the prediction accuracy significantly.

Keyphrases

copy number
biofilm formation
escherichia coli
gene expression
pseudomonas aeruginosa
cystic fibrosis