ArticleJournal of animal science2019
Predicting residual feed intake status using rumen microbial profiles in ewe lambs1.
Article in Journal of animal science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Host-specific microbiome-rumination interactions shape methane-yield phenotypes in dairy cattle.mSphere · 2025Article
- A Genomic and Phenotypic Investigation of Feed Efficiency and Growth Traits in Targhee and Rambouillet Sheep.Animals : an open access journal from MDPI · 2025Article
- Genome-wide association study for feed efficiency indicator traits in Nellore cattle considering genotype-by-environment interactions.Frontiers in genetics · 2025Article
- Effect of differences in residual feed intake on gastrointestinal microbiota of Dexin fine-wool meat sheep.Frontiers in microbiology · 2024Article
- Profiling the diversity of the village chicken faecal microbiota using 16S rRNA gene and metagenomic sequencing data to reveal patterns of gut microbiome signatures.Frontiers in microbiology · 2024Article
- Alterations in nutrient digestion and utilization associated with different residual feed intake in Hu sheep.Animal nutrition (Zhongguo xu mu shou yi xue hui) · 2023Article
- Candidate serum metabolite biomarkers of residual feed intake and carcass merit in sheep.Journal of animal science · 2020Article
- Rumen Microbiome Composition Is Altered in Sheep Divergent in Feed Efficiency.Frontiers in microbiology · 2020Article
- Investigation of maternal breed and rearing type on the calf rumen microbiome from day 28 through weaningTranslational animal science · 2018Article
- RUMINANT NUTRITION SYMPOSIUM: Tiny but mighty: the role of the rumen microbes in livestock production.Journal of animal science · 2018Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Including feed efficiency as a trait for selection has gained interest in the sheep industry because it can result in reduced feed inputs or improve stocking rates, both of which translate into increased profitability for the producer. It is of interest whether the feed efficiency status of a testing population of sheep could be predicted using rumen microbial profiles associated with divergent feed efficiency status in a training population of sheep. Two populations of ewes were fed the same diet, and each group was evaluated for feed efficiency. A total of 20 animals in the testing population were selected for prediction assessment using feed efficiency, including the 6 top-ranked, the 6 bottom-ranked, and 8 middle-ranked ewes stratified over the distribution. Rumen fluid samples were collected and DNA was extracted for sequencing. Using a rumen microbial profile associated with diverging feed efficiency created from the training population, multiple discriminant analyses were performed using the DISCRIM procedure of SAS to determine the probability of correctly identifying lambs in the testing population as low, medium, or high feed efficiency using their microbial profiles. A profile of 6 rumen microbial species were used to correctly (P < 0.001) predict all testing population ewes into their actual feed efficiency status. A regression analysis using the same microbial profile was used to predict feed efficiency values, which were strongly correlated (r = 0.71; P < 0.001) with actual feed efficiency values. These results indicate that specific rumen microbial species may play a role in feed efficiency, and that a microbial profile could be used to rank sheep for feed efficiency.
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