Application of Meta-Analysis and Machine Learning Methods to the Prediction of Methane Production from In Vitro Mixed Ruminal Micro-Organism Fermentation.
feed
in vitro gas production
machine learning
meta-analysis
methane
neural network
rumen
Journal
Animals : an open access journal from MDPI
ISSN: 2076-2615
Titre abrégé: Animals (Basel)
Pays: Switzerland
ID NLM: 101635614
Informations de publication
Date de publication:
21 Apr 2020
21 Apr 2020
Historique:
received:
10
04
2020
revised:
16
04
2020
accepted:
16
04
2020
entrez:
25
4
2020
pubmed:
25
4
2020
medline:
25
4
2020
Statut:
epublish
Résumé
In vitro gas production systems are utilized to screen feed ingredients for inclusion in ruminant diets. However, not all in vitro systems are set up to measure methane (CH
Identifiants
pubmed: 32326214
pii: ani10040720
doi: 10.3390/ani10040720
pmc: PMC7222741
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Research Stimulus Fund
ID : RSF 05 224, RSF 06 361, RSF 07 517
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