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Greenhouse Gas Emissions from Beef Cattle Breeding Based on the Ecological Cycle Model

Over the past few decades, the supply of beef has increasingly become available with the great improvement of the quality of life, especially in developing countries. However, along with the demand for meat products of high quality and the transformation of dietary structure, the impact of massive a...

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Autores principales: Guo, Hongpeng, Su, Zixu, Yang, Xiao, Xu, Shuang, Pan, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367784/
https://www.ncbi.nlm.nih.gov/pubmed/35954833
http://dx.doi.org/10.3390/ijerph19159481
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author Guo, Hongpeng
Su, Zixu
Yang, Xiao
Xu, Shuang
Pan, Hong
author_facet Guo, Hongpeng
Su, Zixu
Yang, Xiao
Xu, Shuang
Pan, Hong
author_sort Guo, Hongpeng
collection PubMed
description Over the past few decades, the supply of beef has increasingly become available with the great improvement of the quality of life, especially in developing countries. However, along with the demand for meat products of high quality and the transformation of dietary structure, the impact of massive agricultural greenhouse gas emissions on the environmental load cannot be ignored. Therefore, the objective of this study is to predict the annual greenhouse gas emissions of 10 million heads of beef cattle under both the ecological cycle model (EC model) and the non-ecological cycle model (non-EC model), respectively, in order to compare the differences between these two production models in each process, and thus explore which one is more sustainable and environmentally friendly. To this end, through the life cycle assessment (LCA), this paper performs relevant calculations according to the methodology of 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories (2019 IPCC Inventories). The results have shown that the total GHG emissions of the non-EC model were almost 4 times higher than those of the EC model, and feed-grain cultivation and manure management were main emission sources in both models. The non-EC model produced significantly more emissions than the EC model in each kind of GHG, especially the largest gap between these two was in CO(2) emissions that accounted for 68.01% and 56.17% of the respective planting and breeding systems. This study demonstrates that the transformation of a beef cattle breeding model has a significant direct impact on cutting agricultural GHG emissions, and persuades other countries in the similar situation to vigorously advocate ecological cycling breeding model instead of the traditional ones so that promotes coordinated development between planting industry and beef cattle breeding industry.
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spelling pubmed-93677842022-08-12 Greenhouse Gas Emissions from Beef Cattle Breeding Based on the Ecological Cycle Model Guo, Hongpeng Su, Zixu Yang, Xiao Xu, Shuang Pan, Hong Int J Environ Res Public Health Article Over the past few decades, the supply of beef has increasingly become available with the great improvement of the quality of life, especially in developing countries. However, along with the demand for meat products of high quality and the transformation of dietary structure, the impact of massive agricultural greenhouse gas emissions on the environmental load cannot be ignored. Therefore, the objective of this study is to predict the annual greenhouse gas emissions of 10 million heads of beef cattle under both the ecological cycle model (EC model) and the non-ecological cycle model (non-EC model), respectively, in order to compare the differences between these two production models in each process, and thus explore which one is more sustainable and environmentally friendly. To this end, through the life cycle assessment (LCA), this paper performs relevant calculations according to the methodology of 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories (2019 IPCC Inventories). The results have shown that the total GHG emissions of the non-EC model were almost 4 times higher than those of the EC model, and feed-grain cultivation and manure management were main emission sources in both models. The non-EC model produced significantly more emissions than the EC model in each kind of GHG, especially the largest gap between these two was in CO(2) emissions that accounted for 68.01% and 56.17% of the respective planting and breeding systems. This study demonstrates that the transformation of a beef cattle breeding model has a significant direct impact on cutting agricultural GHG emissions, and persuades other countries in the similar situation to vigorously advocate ecological cycling breeding model instead of the traditional ones so that promotes coordinated development between planting industry and beef cattle breeding industry. MDPI 2022-08-02 /pmc/articles/PMC9367784/ /pubmed/35954833 http://dx.doi.org/10.3390/ijerph19159481 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Guo, Hongpeng
Su, Zixu
Yang, Xiao
Xu, Shuang
Pan, Hong
Greenhouse Gas Emissions from Beef Cattle Breeding Based on the Ecological Cycle Model
title Greenhouse Gas Emissions from Beef Cattle Breeding Based on the Ecological Cycle Model
title_full Greenhouse Gas Emissions from Beef Cattle Breeding Based on the Ecological Cycle Model
title_fullStr Greenhouse Gas Emissions from Beef Cattle Breeding Based on the Ecological Cycle Model
title_full_unstemmed Greenhouse Gas Emissions from Beef Cattle Breeding Based on the Ecological Cycle Model
title_short Greenhouse Gas Emissions from Beef Cattle Breeding Based on the Ecological Cycle Model
title_sort greenhouse gas emissions from beef cattle breeding based on the ecological cycle model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367784/
https://www.ncbi.nlm.nih.gov/pubmed/35954833
http://dx.doi.org/10.3390/ijerph19159481
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