Abstract:Background
This study investigated greenhouse gas (GHG) emission characteristics of lactating Holstein dairy cows in East China and provided a basis for formulating GHG emission reduction measures. GreenFeed system was used to measure the amount of methane (CH4) and carbon dioxide (CO2) emitted by the cows through respiration. Data from a commercial cow farm were used to observe the effects of parity, body weight, milk yield, and milk component yield on CH4 and CO2 emissions.
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“…Per capita milk consumption in China is much lower than the global level, and vigorous efforts are still needed to develop the dairy industry. Consequently, mitigation strategies for China’s dairy industry need to be extensively investigated [ 88 ].…”
Section: Resultsmentioning
confidence: 99%
“…Due to rapid economic growth, China became the world’s largest GHG emitter, surpassing US emission levels in 2006 [ 93 ]. However, recently, China has increased awareness of the harmfulness of GHGs and taken measures to address them [ 88 ].…”
A deeper understanding of gas emissions in milk production is crucial for promoting productive efficiency, sustainable resource use, and animal welfare. This paper aims to analyze ammonia and greenhouse gas emissions in dairy farming using bibliometric methods. A total of 187 English-language articles with experimental data from the Scopus and Web of Science databases (January 1987 to April 2024) were reviewed. Publications notably increased from 1997, with the highest number of papers published in 2022. Research mainly focuses on ammonia and methane emissions, including quantification, volatilization, and mitigation strategies. Other gases like carbon dioxide, nitrous oxide, and hydrogen sulfide were also studied. Key institutions include the University of California–Davis and Aarhus University. Bibliometric analysis revealed research evolution, identifying trends, gaps, and future research opportunities. This bibliometric analysis offers insights into emissions, air quality, sustainability, and animal welfare in dairy farming, highlighting areas for innovative mitigation strategies to enhance production sustainability. This research contributes to academia, enhancing agricultural practices, and informing environmental policies. It is possible to conclude that this research is a valuable tool for understanding the evolution of research on gas emissions in dairy cattle facilities, providing guidance for future studies and interventions to promote more sustainable production.
“…Per capita milk consumption in China is much lower than the global level, and vigorous efforts are still needed to develop the dairy industry. Consequently, mitigation strategies for China’s dairy industry need to be extensively investigated [ 88 ].…”
Section: Resultsmentioning
confidence: 99%
“…Due to rapid economic growth, China became the world’s largest GHG emitter, surpassing US emission levels in 2006 [ 93 ]. However, recently, China has increased awareness of the harmfulness of GHGs and taken measures to address them [ 88 ].…”
A deeper understanding of gas emissions in milk production is crucial for promoting productive efficiency, sustainable resource use, and animal welfare. This paper aims to analyze ammonia and greenhouse gas emissions in dairy farming using bibliometric methods. A total of 187 English-language articles with experimental data from the Scopus and Web of Science databases (January 1987 to April 2024) were reviewed. Publications notably increased from 1997, with the highest number of papers published in 2022. Research mainly focuses on ammonia and methane emissions, including quantification, volatilization, and mitigation strategies. Other gases like carbon dioxide, nitrous oxide, and hydrogen sulfide were also studied. Key institutions include the University of California–Davis and Aarhus University. Bibliometric analysis revealed research evolution, identifying trends, gaps, and future research opportunities. This bibliometric analysis offers insights into emissions, air quality, sustainability, and animal welfare in dairy farming, highlighting areas for innovative mitigation strategies to enhance production sustainability. This research contributes to academia, enhancing agricultural practices, and informing environmental policies. It is possible to conclude that this research is a valuable tool for understanding the evolution of research on gas emissions in dairy cattle facilities, providing guidance for future studies and interventions to promote more sustainable production.
“…Enteric CH 4 and CO 2 emissions and O 2 consumption were measured using two sets of the GreenFeed Large Animal System (product No. 157 and 158; C-Lock, Inc., Rapid City, SD, USA) as described by Jia et al [ 22 ]. Generally, 10 Jersey cows from each treatment (40 cows in total) were randomly selected and trained for 10 d to adapt the GreenFeed systems before the commencement of the experiment.…”
Background
Sustainable strategies for enteric methane (CH4) mitigation of dairy cows have been extensively explored to improve production performance and alleviate environmental pressure. The present study aimed to investigate the effects of dietary xylooligosaccharides (XOS) and exogenous enzyme (EXE) supplementation on milk production, nutrient digestibility, enteric CH4 emissions, energy utilization efficiency of lactating Jersey dairy cows. Forty-eight lactating cows were randomly assigned to one of 4 treatments: (1) control diet (CON), (2) CON with 25 g/d XOS (XOS), (3) CON with 15 g/d EXE (EXE), and (4) CON with 25 g/d XOS and 15 g/d EXE (XOS + EXE). The 60-d experimental period consisted of a 14-d adaptation period and a 46-d sampling period. The enteric CO2 and CH4 emissions and O2 consumption were measured using two GreenFeed units, which were further used to determine the energy utilization efficiency of cows.
Results
Compared with CON, cows fed XOS, EXE or XOS + EXE significantly (P < 0.05) increased milk yield, true protein and fat concentration, and energy-corrected milk yield (ECM)/DM intake, which could be reflected by the significant improvement (P < 0.05) of dietary NDF and ADF digestibility. The results showed that dietary supplementation of XOS, EXE or XOS + EXE significantly (P < 0.05) reduced CH4 emission, CH4/milk yield, and CH4/ECM. Furthermore, cows fed XOS demonstrated highest (P < 0.05) metabolizable energy intake, milk energy output but lowest (P < 0.05) of CH4 energy output and CH4 energy output as a proportion of gross energy intake compared with the remaining treatments.
Conclusions
Dietary supplementary of XOS, EXE or combination of XOS and EXE contributed to the improvement of lactation performance, nutrient digestibility, and energy utilization efficiency, as well as reduction of enteric CH4 emissions of lactating Jersey cows. This promising mitigation method may need further research to validate its long-term effect and mode of action for dairy cows.
“…To determine the carbon emissions associated with animal husbandry in the three central Chinese provinces, some researchers have employed the carbon emission coe cient approach. One study found that large livestock, such as pigs, cattle, and sheep, are the main emission sources of animal husbandry (Jia et al 2022). However, these emission sources remain unknown.…”
Studying the temporal and spatial features and ramifications of regional agricultural carbon emission efficiency (ACEE) under a "double carbon" target is very important. This study examined the ACEE of the Yangtze River Economic Belt (YEB) from 2001 to 2021 using a Super-efficiency model. Kernel density estimation and Moran's I index were used to analyze the ACEE value from time and space perspectives. A spatial Durbin model was trained to empirically investigate the driving forces and geographic spillover effects of ACEE. From a time perspective, the ACEE of YEB shows a fluctuating upward trend. The ACEE values of Jiangsu Province, Zhejiang Province, and Shanghai City were noticeably higher than the mean value of YEB. From the space perspective, the ACEE value is downstream > midstream > upstream, and the overall spatial distribution pattern of “east high and west low” is presented. The results of the spatial Durbin model show that the ACEE of YEB has a substantial positive knock-on impact. Elements like the mechanization level and agricultural industrial structure have a positive driving effect on the YEB ACEE, while pesticides have an inhibitory effect. These results indicated that giving advanced regions their due as radiation-leading regions, strengthening information communication between regions, and encouraging the overall coordinated development of the YEB ACEE are worthwhile recommendations for future improvements.
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