Variation in animal performance explained by the rumen microbiome or by diet composition.
Ontology highlight
ABSTRACT: The central aim of this meta-analysis was to determine whether the rumen microbiome can serve as an accurate predictor of performance in beef and dairy cattle compared with predictions based on diet composition. To support this comparison, a set of models was derived and compared. Models predicted milk yield (MY), average daily gain (ADG), dry matter intake (DMI), dairy feed efficiency (FE), and beef FE using different sets of independent variables: diet (D), microbial (M), and experimental (E). Diet variables included dry matter, organic matter, neutral detergent fiber, acid detergent fiber, crude protein, ether extract, nonfiber carbohydrate, starch, and forage percentages. Microbiome variables included relative abundance of 3 major rumen bacterial phyla, species richness, and species di
SUBMITTER: Gleason CB
PROVIDER: S-EPMC6247856 | biostudies-literature | 2018 Nov
REPOSITORIES: biostudies-literature
ACCESS DATA