Literature DB >> 29153528

Modeling greenhouse gas emissions from dairy farms.

C Alan Rotz1.   

Abstract

Dairy farms have been identified as an important source of greenhouse gas emissions. Within the farm, important emissions include enteric CH4 from the animals, CH4 and N2O from manure in housing facilities during long-term storage and during field application, and N2O from nitrification and denitrification processes in the soil used to produce feed crops and pasture. Models using a wide range in level of detail have been developed to represent or predict these emissions. They include constant emission factors, variable process-related emission factors, empirical or statistical models, mechanistic process simulations, and life cycle assessment. To fully represent farm emissions, models representing the various emission sources must be integrated to capture the combined effects and interactions of all important components. Farm models have been developed using relationships across the full scale of detail, from constant emission factors to detailed mechanistic simulations. Simpler models, based upon emission factors and empirical relationships, tend to provide better tools for decision support, whereas more complex farm simulations provide better tools for research and education. To look beyond the farm boundaries, life cycle assessment provides an environmental accounting tool for quantifying and evaluating emissions over the full cycle, from producing the resources used on the farm through processing, distribution, consumption, and waste handling of the milk and dairy products produced. Models are useful for improving our understanding of farm processes and their interacting effects on greenhouse gas emissions. Through better understanding, they assist in the development and evaluation of mitigation strategies for reducing emissions and improving overall sustainability of dairy farms. The Authors. Published by FASS Inc. and Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

Entities:  

Keywords:  carbon footprint; dairy; greenhouse gas; methane; model

Mesh:

Substances:

Year:  2017        PMID: 29153528     DOI: 10.3168/jds.2017-13272

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  6 in total

Review 1.  ASAS-NANP symposium: mathematical modeling in animal nutrition: limitations and potential next steps for modeling and modelers in the animal sciences.

Authors:  Marc Jacobs; Aline Remus; Charlotte Gaillard; Hector M Menendez; Luis O Tedeschi; Suresh Neethirajan; Jennifer L Ellis
Journal:  J Anim Sci       Date:  2022-06-01       Impact factor: 3.338

2.  Milk production, nitrogen utilization, and methane emissions of dairy cows grazing grass, forb, and legume-based pastures.

Authors:  Randi L Wilson; Massimo Bionaz; Jennifer W MacAdam; Karen A Beauchemin; Harley D Naumann; Serkan Ates
Journal:  J Anim Sci       Date:  2020-07-01       Impact factor: 3.159

3.  Carbon Footprint Assessment of Spanish Dairy Cattle Farms: Effectiveness of Dietary and Farm Management Practices as a Mitigation Strategy.

Authors:  Ridha Ibidhi; Sergio Calsamiglia
Journal:  Animals (Basel)       Date:  2020-11-10       Impact factor: 2.752

4.  [The role of reproductive biology in SDGs] Global warming and cattle reproduction: Will increase in cattle numbers progress to global warming?

Authors:  Miki Sakatani
Journal:  J Reprod Dev       Date:  2022-01-30       Impact factor: 2.214

5.  Estimation of Dairy Cow Survival in the First Three Lactations for Different Culling Reasons Using the Kaplan-Meier Method.

Authors:  Wilhelm Grzesiak; Krzysztof Adamczyk; Daniel Zaborski; Jerzy Wójcik
Journal:  Animals (Basel)       Date:  2022-07-30       Impact factor: 3.231

6.  The effects of improved performance in the U.S. dairy cattle industry on environmental impacts between 2007 and 2017.

Authors:  Judith L Capper; Roger A Cady
Journal:  J Anim Sci       Date:  2020-01-01       Impact factor: 3.159

  6 in total

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