Predicting Enteric Methane Emissions from Dairy and Beef Cattle Using Nutrient Composition and Intake Variables
The objective of this study was to develop linear and nonlinear statistical models for predicting enteric methane emissions from beef and dairy cattle (EME, MJ/day). Ration nutrient composition (g/kg), nutrient (kg/day), energy (MJ/day), and energy and organic matter (OM) digestibility (g/kg) were u...
Saved in:
| Main Authors: | Yaodong Wang, Weitao Song, Qian Wang, Fafa Yang, Zhengang Yan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Animals |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-2615/14/23/3452 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Effects of distiller’s dried grains with solubles on enteric methane emissions in dairy and beef cattle: a meta-analysis
by: Muhammad Irfan Malik, et al.
Published: (2024-12-01) -
First Molecular Identification of <i>Entamoeba</i> spp. in Sheep, Beef Cattle, and Dairy Cattle in Shanxi Province, North China
by: Ze-Xuan Wu, et al.
Published: (2025-01-01) -
Screening and Functional Prediction of Rumen Microbiota Associated with Methane Emissions in Dairy Cows
by: Jiatai Bao, et al.
Published: (2024-11-01) -
Johne’s Disease in Beef Cattle
by: Bridget Stice, et al.
Published: (2023-11-01) -
The Economic Impact of Feed Efficiency in Beef Cattle
by: Travis D. Maddock, et al.
Published: (2016-02-01)