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Additional file 1 of Including microbiome information in a multi-trait genomic evaluation: a case study on longitudinal growth performance in beef cattle

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posted on 2024-03-16, 04:41 authored by Marina Martínez-Álvaro, Jennifer Mattock, Óscar González-Recio, Alejandro Saborío-Montero, Ziqing Weng, Joana Lima, Carol-Anne Duthie, Richard Dewhurst, Matthew A. Cleveland, Mick Watson, Rainer Roehe

Additional file 1: Table S1. Description of the animals used in the study. Experimental design displaying the number of animals within each breed, diet and experiment.

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BBRSC UKRI Genus PLC

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work sheds light three additive log predicted response compared feed conversion efficiency direct breeding strategy longitudinal growth performance average daily gain achieved lower accuracies accurately estimate gebv including microbiome information zero genomic correlations 359 beef cattle using microbiome information trait genomic evaluation mg showing non uniform rg sign least one adg mg information zero rg using adg rg sign beef cattle rumen microbiome growth trajectory growth stage genomic level cattle growth varies across uniform subset temporal variation study demonstrates ribosomal biosynthesis rg magnitude provides insights potential benefits one adg microbial metabolism microbial factors mg correlated mg based metagenomic data metabolic effect lipopolysaccharide signalling increase adg important component host genome five hundred finishing stages finishing stage finishing period energy processes differential host different stages different months case study among others aminoacid metabolism adg4 ).42 |).41 %).

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