ArticleGenetics, selection, evolution : GSE2024
Including microbiome information in a multi-trait genomic evaluation: a case study on longitudinal growth performance in beef cattle.
Article in Genetics, selection, evolution : GSE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
9 citing papers in PubMed, 9 citations in OpenAlex.
- Optimisation of selection for methane mitigation by integrating production traits with ruminal microbiome-driven breeding in beef cattle.Genetics, selection, evolution : GSE · 2026Article
- Predicting beef diet nutritional composition and intake from rumen metagenomic profiles.Animal nutrition (Zhongguo xu mu shou yi xue hui) · 2026Article
- Advancing climate-resilient livestock systems: Next-generation emission mitigation strategies and integrated technological innovations.Veterinary and animal science · 2026Review
- Impact of reducing metagenomic sequencing depth on phenotypic prediction accuracy of feed intake and average daily gain in beef cattle.Journal of animal science · 2026Article
- The hologenome concept and its implications for animal breeding in the multi-omics Era.Genetics and molecular biology · 2026Article
- Article
- Prediction accuracy for feed intake and body weight gain using host genomic and rumen metagenomic data in beef cattle.Genetics, selection, evolution : GSE · 2025Article
- Impact of virginiamycin on the ruminal microbiota of feedlot cattle.Canadian journal of veterinary research = Revue canadienne de recherche veterinaire · 2024Article
- Exploring the Effect of GastrointestinalAnimals : an open access journal from MDPI · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 4 countries.
Funding
Abstract
backgroundGrowth rate is an important component of feed conversion efficiency in cattle and varies across the different stages of the finishing period. The metabolic effect of the rumen microbiome is essential for cattle growth, and investigating the genomic and microbial factors that underlie this temporal variation can help maximize feed conversion efficiency at each growth stage.
resultsBy analysing longitudinal body weights during the finishing period and genomic and metagenomic data from 359 beef cattle, our study demonstrates that the influence of the host genome on the functional rumen microbiome contributes to the temporal variation in average daily gain (ADG) in different months (ADG
conclusionsOur 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.