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Title:

Methane prediction based on individual or groups of milk fatty acids for dairy cows fed rations with or without linseed

Document type:
Zeitschriftenaufsatz
Author(s):
Engelke, Stefanie W.; Daş, Gürbüz; Derno, Michael; Tuchscherer, Armin; Wimmers, Klaus; Rychlik, Michael; Kienberger, Hermine; Berg, Werner; Kuhla, Björn; Metges, Cornelia C.
Abstract:
Milk fatty acids (MFA) are a proxy for the prediction of CH4 emission from cows, and prediction differs with diet. Our objectives were (1) to compare the effect of diets on the relation between MFA profile and measured CH4 production, (2) to predict CH4 production based on 6 data sets differing in the number and type of MFA, and (3) to test whether additional inclusion of energy-corrected milk (ECM) yield or dry matter intake (DMI) as explanatory variables improves predictions. Twenty dairy cows...     »
Keywords:
BayBioMS; dairy cow; methane emission prediction; methane mitigation; methane proxy; milk fatty acids
Journal title:
Journal of Dairy Science
Year:
2019
Journal volume:
102
Journal issue:
2
Pages contribution:
1788-1802
Fulltext / DOI:
doi:10.3168/jds.2018-14911
Publisher:
American Dairy Science Association
E-ISSN:
0022-0302
Date of publication:
01.02.2019
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