Including microbiome information in a multi-trait genomic evaluation: a case study on longitudinal growth performance in beef cattle.

Marina Martínez-ÁlvaroJennifer MattockÓscar González-RecioAlejandro Saborío-MonteroZiqing WengJoana LimaCarol-Anne DuthieRichard DewhurstMatthew A ClevelandMick WatsonRainer Roehe

Published in: Genetics, selection, evolution : GSE (2024)

Our work sheds light on the role of the microbial metabolism in the growth trajectory of beef cattle at the genomic level and provides insights into the potential benefits of using microbiome information in future genomic breeding programs to accurately estimate GEBV and increase ADG at each finishing stage in beef cattle.

Keyphrases

copy number
health information
public health
healthcare
current status
gene expression
risk assessment
human health
climate change