Predicting methane emission in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks.
Holstein cows
machine learning
methane
mid-infrared spectroscopy
Journal
Journal of dairy science
ISSN: 1525-3198
Titre abrégé: J Dairy Sci
Pays: United States
ID NLM: 2985126R
Informations de publication
Date de publication:
Oct 2022
Oct 2022
Historique:
received:
18
08
2021
accepted:
09
06
2022
pubmed:
3
9
2022
medline:
21
9
2022
entrez:
2
9
2022
Statut:
ppublish
Résumé
Interest in reducing eructed CH
Identifiants
pubmed: 36055858
pii: S0022-0302(22)00480-5
doi: 10.3168/jds.2021-21176
pii:
doi:
Substances chimiques
Purines
0
Methane
OP0UW79H66
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
8272-8285Informations de copyright
The Authors. Published by Elsevier Inc. and Fass Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).