Factors Affecting Enteric Emission Methane and Predictive Models for Dairy Cows

Area of Science:

• Agricultural Science
• Environmental Science
• Animal Science

Background:

• Enteric methane emission from dairy cattle is a major source of greenhouse gases.
• Accurate prediction models for enteric methane emissions are crucial for mitigation strategies.

Purpose of the Study:

• To analyze the impact of enteric methane emission yield and feed conversion on emission intensity.
• To develop and compare predictive models for dairy cattle enteric methane emissions.
• To evaluate factors influencing methane emission intensity in dairy systems.

Main Methods:

• Construction of a large, intercontinental experimental dataset on dairy cattle.
• Development of six novel models for predicting daily enteric methane emissions.
• Comparative analysis of developed models against 43 existing literature models.

Main Results:

• Feed conversion was a more significant driver of enteric methane emission intensity than emission yield.
• Increased milk yield reduced emission intensity primarily through enhanced feed conversion.
• Newly developed models demonstrated superior predictive accuracy compared to most literature models.

Conclusions:

• Enhanced feed conversion in dairy cows is critical for reducing methane emission intensity.
• Prioritizing improvements in feed conversion efficiency should be a key strategy for mitigating dairy cattle methane emissions.
• Optimizing dairy cow productivity offers a viable pathway to reduce environmental impact.