Dietary Green Alfalfa Supplementation Reduces Backfat Thickness and Improves Muscle Water-Holding Capacity in Diqing Tibetan Pigs.

Hete Huang, Xinpeng Li, Kang Zhang, Bingkun Liang, Siya Bai, Xinxing Dong, Dawei Yan

Abstract read

In one paragraph

Article in Foods (Basel, Switzerland), 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

7 authors.

Hete HuangCollege of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.

Xinpeng LiCollege of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.

Kang ZhangCollege of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.

Bingkun LiangCollege of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.

Siya BaiCollege of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.

Xinxing DongCollege of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.ORCID 0000-0002-9700-5603

Dawei YanCollege of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.ORCID 0009-0005-7151-7618

Funding

Major Science and Technology Special Projects of Yunnan Province 202202AE090005, 202302AE090015Young Talent Project of the Yunnan Province Xing Dian Ying Talent Support Program XDYC-QNRC-2023-0394Yunnan Provincial Academician Expert Workstation Project 202305AF150128

6 · The paper itself

Abstract

Feed scarcity constrains livestock production, particularly on the Qinghai-Tibet Plateau. The effects of green alfalfa (GA) on Diqing Tibetan pig performance remain unclear. This study aimed to evaluate GA effects on Diqing Tibetan pig performance and to explore the potential underlying mechanisms through integrated metagenomic, transcriptomic, and metabolomic analyses. Thirty-six Diqing Tibetan pigs were randomly assigned to two groups and fed either a basal diet or a diet containing 90% basal diet and 10% GA. GA did not adversely affect growth performance but reduced 6-7 rib backfat thickness and muscle water loss rate by 19.79% (FDR = 0.027) and 17.80% (FDR = 0.036), while increasing muscle moisture content by 3.51% (FDR = 0.036). GA increased cecal microbial alpha diversity, Bacteroidota-related taxa, and functional genes related to lipid and vitamin metabolism, while decreasing Bacillota and

Indexed as

Diqing Tibetan piggreen alfalfamulti-omics combinationmuscle quality

Identifiers

PMID42511274

DOI10.3390/foods15142528

PMCPMC13409377

What Socratic 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 Socratic graph.