Methane prediction equations including genera of rumen bacteria as predictor variables improve prediction accuracy

Year of publication

2023

Authors

Zhang, Boyang; Lin, Shili; Moraes, Luis; Firkins, Jeffrey; Hristov, Alexander N.; Kebreab, Ermias; Janssen, Peter H.; Bannink, André; Bayat, Alireza R.; Crompton, Les A.; Dijkstra, Jan; Eugène, Maguy A.; Kreuzer, Michael; McGee, Mark; Reynolds, Christopher K.; Schwarm, Angela; Yáñez-Ruiz, David R.; Yu, Zhongtang

Organizations and authors

Natural Resources Institute Finland

Bayat Ali

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal/Series

Scientific reports

Publisher

Springer Nature

Volume

Issue

Article number

21305

Pages

11 p.

ISSN

2045-2322

Publication forum

71431

Publication forum level

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

License of the publisher’s version

CC BY

Self-archived

Yes

Other information

Fields of science

Animal science, dairy science

Keywords

[object Object],[object Object],[object Object]

Publication country

United Kingdom

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

DOI

10.1038/s41598-023-48449-y

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes