Evidence map›Paper›PMID 41514203›Full record

ArticleBMC microbiology2026

Animal performance and gut microbiota of cattle as affected by the unfermented or fermented total mixed ration.

Sihan You, Yuqi Zou, Yanzi Xiao, Lichao He, Lili Liu, Yuhang Sun, Yushan Jia, Gentu Ge, Shuai Du

Abstract read
In one paragraph

Article in BMC microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sihan YouKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, Ministry of Agriculture, Key Laboratory of Grassland Resources, Ministry of Education, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010019, China.
Yuqi ZouKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, Ministry of Agriculture, Key Laboratory of Grassland Resources, Ministry of Education, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010019, China.
Yanzi XiaoCollege of Agriculture, Grass Industry Collaborative Innovation Research Center, Hulunbuir University, Hulunber, 021000, China.
Lichao HeKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, Ministry of Agriculture, Key Laboratory of Grassland Resources, Ministry of Education, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010019, China.
Lili LiuNaiman Banner Forestry and Grassland Adiministration, Tongliao, 028300, China.
Yuhang SunNaiman Banner Forestry and Grassland Adiministration, Tongliao, 028300, China.
Yushan JiaKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, Ministry of Agriculture, Key Laboratory of Grassland Resources, Ministry of Education, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010019, China.
Gentu GeKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, Ministry of Agriculture, Key Laboratory of Grassland Resources, Ministry of Education, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010019, China. gegentu@163.com.
Shuai DuKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, Ministry of Agriculture, Key Laboratory of Grassland Resources, Ministry of Education, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010019, China. dushuai_nm@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diet regulates the gut microbiota, which in turn affects animal performance, but how diet shapes the animal performance and gut microbiota remains largely unknown. To fill this gap, the author conducted a comprehensive study of the influence of total mixed ration (TMR) or fermented TMR (FTMR) on the animal performance and gut microbiome. Sixteen Simmental male cattle were randomly allocated to two treatments (one cattle per pen). The animals were fed with the TMR and FTMR diets respectively. The results showed that the contents of ADF, NDF, cellulose and total cellulose in the FTMR were significantly decreased (p < 0.05), the average daily weight gain of the Simmental male cattle shows an increasing trend (TMR: 0.31 vs. FTMR: 0.62), while no significant (p = 0.2382) difference was found between the two treatments. The metagenomics analysis showed significant (p < 0.05) difference in the α-diversity and β-diversity, and the dominant bacterial genera were Weissella, Lactiplantibacillus, Levilactobacillus and Companilactobacillus. The 16S rRNA sequencing indicated that a significant (p = 0.018) difference in the bacterial communities between the cattle fed with TMR or FTMR diet, while no significant (p < 0.05) differences were detected on the primary genus. It can be found that the FTMR diet increased the average daily gain of cattle by improving the chemical composition and microbial functional profile of the FTMR diet, and affected the growth performance of cattle.

Indexed as

Animal FeedBacteriaDietGastrointestinal MicrobiomeAnimalsCattleFecesFermentationMaleMetagenomicsRNA, Ribosomal, 16SWeight GainRNA, Ribosomal, 16SCattleFecal microbiotaFermented dietGrowth performanceMetagenomics

Identifiers

PMID41514203
PMCPMC12973633

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.