Evidence map›Paper›PMID 42121779›Full record

ArticleAnimals : an open access journal from MDPI2026

Assessment of Components Associated with Average Daily Gain of Finishing Lambs Fed with Two Roughage Sources Using Integrative Metabolomics.

Junnan Ma, Shuzhen Wang, Daiyi Yang, Xiaodong Chen, Yan Tu, Tao Ma

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 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

6 authors.

Junnan MaKey Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Institute of Feed Research of Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Shuzhen WangKey Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Institute of Feed Research of Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Daiyi YangKey Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Institute of Feed Research of Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Xiaodong ChenCollege of Animal Science and Technology, Ningxia University, Yinchuan 750021, China.
Yan TuKey Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Institute of Feed Research of Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0002-4324-6188
Tao MaKey Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Institute of Feed Research of Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0003-4821-836X

Funding

China Agriculture Research System of MOF and MARA CARS-38Key Research and Development Program of Ningxia Hui Autonomous Region 2025BBF02010
6 · The paper itself

Abstract

Rapeseed straw and peanut vine are abundant agricultural by-products in China, but their low digestibility has largely restricted their application in ruminant production. Extrusion processing has been shown to improve the fiber structure and nutrient availability of roughages, yet the underlying metabolic mechanisms by which extruded rapeseed straw (ERS) influences growth performance remain insufficiently elucidated. This study aimed to explore the metabolic mechanisms of average daily gain (ADG) affected by rapeseed straw feeding through studying metabolites from four biological matrices (rumen fluid, serum, liver and muscle) collected from 24 Hu lambs fed extruded rapeseed straw (ERS,

Indexed as

average daily gainextruded rapeseed strawHu lambintegrative metabolomics

Identifiers

PMID42121779
PMCPMC13162848

What OpenQuestion holds

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Registered trials

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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.