Evidence map›Paper›PMID 41852419›Full record

ArticleFrontiers in microbiomes2025

Relationships between rumen methanogens and fungal communities and their response to changes in alfalfa forms and starch in sheep diets.

Wenliang Guo, Meila Na, Shuwei Liu, Kenan Li, Haidong Du, Jing Zhang, Yu Zhang, Renhua Na, Yulan Liu

Abstract read
In one paragraph

Article in Frontiers in microbiomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Wenliang GuoCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Meila NaCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Shuwei LiuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Kenan LiForage Processing and Animal Nutrition Research Center, Grassland Research Institute of Chinese Academy of Agricultural Sciences, Hohhot, China.
Haidong DuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Jing ZhangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Yu ZhangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Renhua NaCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Yulan LiuDepartment of Technology, Inner Mongolia Zhamuqin Agriculture and Animal Husbandry Technology Co., Ltd, Ulanhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alfalfa forms and rumen degradable starch (RDS) levels in diets can profoundly affect growth performance and rumen fermentation patterns, this influence may result in variations in rumen microbiota. However, the effects of RDS levels on methanogenic and fungal communities in alfalfa hay (AH) or alfalfa silage (AS) diets, and the interaction between methanogens and fungi with growth performance and rumen fermentation patterns, remain unknown. In this study, a 2 × 2 factorial design resulted in four diets: two alfalfa forms (AH and AS) and two RDS levels (LR: 14.85% DM RDS; and HR: 20.21% DM RDS). We used 32 female Suffolk sheep for the experiment. On day 75 (including a 15-day transition period and a 60-day trial period), rumen content was collected after slaughter to examine the ruminal methanogens and fungi. The AHHR diet reduced the methanogen Chao 1 index compared to the AS diets (

Indexed as

alfalfa hayalfalfa silagefungimethanogensrumenrumen degradable starch

Identifiers

PMID41852419
PMCPMC12993492

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.