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  5. Enteric Methane Emission in Livestock Sector: Bibliometric Research from 1986 to 2024 with Text Mining and Topic Analysis Approach by Machine Learning Algorithms

Enteric Methane Emission in Livestock Sector: Bibliometric Research from 1986 to 2024 with Text Mining and Topic Analysis Approach by Machine Learning Algorithms

Author(s)
Evangelista, Chiara
Milanesi, Marco  
Pietrucci Daniele  
Chillemi, Giovanni
Bernabucci, Umberto  
Date Issued
2024
Type
article
Volume
14
Issue
21
DOI
10.3390/ani14213158
Journal
ANIMALS  
Abstract
Methane (CH4) from livestock, particularly enteric CH4 emission (EME), is one contributor to greenhouse gas emissions and climate change. This review analyzed 1294 scientific abstracts on EME in ruminants from 1986 to May 2024, using Scopus® data. Descriptive statistics, text mining, and topic analysis were performed. Publications on EME have risen significantly since 2005, with the Journal of Dairy Science being the most frequent publisher. Most studies (82.1%) were original research, with Northern Hemisphere countries leading in publication numbers. The most frequent terms were "milk", "cow", and "diet", while key research topics included greenhouse gas emissions from livestock, diet composition, and prediction models. Despite progress, some areas like CH4 emission from animals need further investigation.
Handle
http://hdl.handle.net/2067/52729
File(s)
Thumbnail Image
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animals-14-03158.pdf

Size

6.38 MB

Format

Adobe PDF

Checksum (MD5)

8cf524dafe8595905cbf82164ad789f4

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