Evidence map›Paper›PMID 31998275›Full record

ArticleFrontiers in microbiology2019

Effects of Lactic Acid Bacteria Isolated From Rumen Fluid and Feces of Dairy Cows on Fermentation Quality, Microbial Community, and

Linna Guo, Dandan Yao, Dongxia Li, Yanli Lin, Smerjai Bureenok, Kuikui Ni, Fuyu Yang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
14.6field-weighted citation impact, top 1% of its field
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

38 citing papers in PubMed, 82 citations in OpenAlex.

  1. Article
  2. Article
  3. The Role of Microbes in Ensiling.Microorganisms · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Effect ofFrontiers in plant science · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Ensiling hybridFrontiers in microbiology · 2023
    Article
  14. Article
  15. Article
  16. Ferulic Acid Esterase ProducingMicroorganisms · 2022
    Article
  17. Article
  18. Article
  19. Effects of BovineMicroorganisms · 2022
    Article
  20. Article
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

7 authors at 3 institutions in 2 countries.

Linna GuoCollege of Grassland Science and Technology, China Agricultural University, Beijing, China.
Dandan YaoCollege of Grassland Science and Technology, China Agricultural University, Beijing, China.
Dongxia LiCollege of Grassland Science and Technology, China Agricultural University, Beijing, China.
Yanli LinBeijing Sure Academy of Biosciences, Beijing, China.
Smerjai BureenokDepartment of Agricultural Technology and Environment, Rajamangala University of Technology Isan, Nakhon Ratchasima, Thailand.
Kuikui NiCollege of Grassland Science and Technology, China Agricultural University, Beijing, China.
Fuyu YangCollege of Grassland Science and Technology, China Agricultural University, Beijing, China.
China Agricultural University · CNBeijing Academy of Science and Technology · CNRajamangala University of Technology Isan · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to select lactic acid bacteria (LAB) isolated from the rumen fluid and feces of dairy cows, and evaluate their effects on silage quality of alfalfa after 30 or 60 days of ensiling. One hundred and four LAB strains were isolated from rumen fluid and feces of six dairy cows, of which four strains (

Indexed as

alfalfa silagefecesin vitro digestibilitylactic acid bacteriamicrobial communityrumen fluid

Identifiers

PMID31998275
PMCPMC6962301
OpenAlexW2999823736

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.