Evidence map›Paper›PMID 38254459›Full record

ArticleAnimals : an open access journal from MDPI2024

Development of an Alternative In Vitro Rumen Fermentation Prediction Model.

Xinjie Wang, Jianzhao Zhou, Runjie Jiang, Yuxuan Wang, Yonggen Zhang, Renbiao Wu, Xiaohui A, Haitao Du, Jiaxu Tian, Xiaoli Wei and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animals : an open access journal from MDPI, 2024. 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
1.7field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Fortification of tropical macroalgae (Journal of advanced veterinary and animal research · 2026
    Article
  3. Review
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

11 authors at 2 institutions in 1 country.

Xinjie WangCollege of Electric and Information, Northeast Agricultural University, Harbin 150038, China.
Jianzhao ZhouCollege of Electric and Information, Northeast Agricultural University, Harbin 150038, China.
Runjie JiangCollege of Electric and Information, Northeast Agricultural University, Harbin 150038, China.
Yuxuan WangCollege of Electric and Information, Northeast Agricultural University, Harbin 150038, China.ORCID 0009-0009-5971-5354
Yonggen ZhangCollege of Animal Sciences and Technology, Northeast Agriculture University, Harbin 150038, China.
Renbiao WuCollege of Electric and Information, Northeast Agricultural University, Harbin 150038, China.
Xiaohui AHeilongjiang Academy of Agricultural Sciences Animal Husbandry and Veterinary Branch, Harbin 150086, China.
Haitao DuHeilongjiang Dairy Industry Association, Harbin 150040, China.
Jiaxu TianCollege of Electric and Information, Northeast Agricultural University, Harbin 150038, China.
Xiaoli WeiCollege of Electric and Information, Northeast Agricultural University, Harbin 150038, China.
Weizheng ShenCollege of Electric and Information, Northeast Agricultural University, Harbin 150038, China.
Northeast Agricultural University · CNHeilongjiang Provincial Academy of Agricultural Sciences · CN

Funding

the National Key Research and Development Program of China 2022YFD1301104
6 · The paper itself

Abstract

The aim of this study is to identify an alternative approach for simulating the in vitro fermentation and quantifying the production of rumen methane and rumen acetic acid during the rumen fermentation process with different total mixed rations. In this experiment, dietary nutrient compositions (neutral detergent fiber (NDF), acid detergent fiber (ADF), crude protein (CP), and dry matter (DM)) were selected as input parameters to establish three prediction models for rumen fermentation parameters (methane and acetic acid): an artificial neural network model, a genetic algorithm-bp model, and a support vector machine model. The research findings show that the three models had similar simulation results that aligned with the measured data trends (R

Indexed as

in vitro rumen modelmachine learningprediction modelrumen acetic acidrumen methane

Identifiers

PMID38254459
PMCPMC10812787
OpenAlexW4390944473

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.