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Factors Affecting Enteric Emission Methane and Predictive Models for Dairy Cows

Authors :
Andrea Beltrani Donadia
Rodrigo Nazaré Santos Torres
Henrique Melo da Silva
Suziane Rodrigues Soares
Aaron Kinyu Hoshide
André Soares de Oliveira
Source :
Animals, Vol 13, Iss 11, p 1857 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Enteric methane emission is the main source of greenhouse gas contribution from dairy cattle. Therefore, it is essential to evaluate drivers and develop more accurate predictive models for such emissions. In this study, we built a large and intercontinental experimental dataset to: (1) explain the effect of enteric methane emission yield (g methane/kg diet intake) and feed conversion (kg diet intake/kg milk yield) on enteric methane emission intensity (g methane/kg milk yield); (2) develop six models for predicting enteric methane emissions (g/cow/day) using animal, diet, and dry matter intake as inputs; and to (3) compare these 6 models with 43 models from the literature. Feed conversion contributed more to enteric methane emission (EME) intensity than EME yield. Increasing the milk yield reduced EME intensity, due more to feed conversion enhancement rather than EME yield. Our models predicted methane emissions better than most external models, with the exception of only two other models which had similar adequacy. Improved productivity of dairy cows reduces emission intensity by enhancing feed conversion. Improvement in feed conversion should be prioritized for reducing methane emissions in dairy cattle systems.

Details

Language :
English
ISSN :
20762615
Volume :
13
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Animals
Publication Type :
Academic Journal
Accession number :
edsdoj.b6b5a467e4824b599ab739bd5a801b0c
Document Type :
article
Full Text :
https://doi.org/10.3390/ani13111857