Evidence map›Paper›PMID 31091313›Full record

ArticleJournal of animal science2019

Predicting residual feed intake status using rumen microbial profiles in ewe lambs1.

Melinda J Ellison, Gavin C Conant, William R Lamberson, Kathleen J Austin, Edward van Kirk, Hannah C Cunningham, Daniel C Rule, Kristi M Cammack

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Melinda J EllisonDepartment of Animal and Veterinary Science, Nancy M. Cummings Research, Extension, and Education Center, University of Idaho, Carmen 83462.
Gavin C ConantDepartment of Biological Sciences, North Carolina State University, Raleigh 27695.
William R LambersonDivision of Animal Science, University of Missouri, Columbia 65211.
Kathleen J AustinDepartment of Animal Science, University of Wyoming, Laramie 82071.
Edward van KirkDepartment of Animal Science, University of Wyoming, Laramie 82071.
Hannah C CunninghamDepartment of Animal Science, University of Wyoming, Laramie 82071.
Daniel C RuleDepartment of Animal Science, University of Wyoming, Laramie 82071.
Kristi M CammackAnimal Science Department, South Dakota State University, West River Ag Center, Rapid City 57702.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

EatingMicrobiotaAnimal FeedAnimalsDietFemalePhenotypeRumenSheepfeed efficiencyRFI predictionrumen microbiomesheep

Identifiers

PMID31091313
PMCPMC6606518

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.