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Fang C, Qu H, Yang S, He G, Su Y, He X, Huang G. Micro-positive pressure significantly decreases greenhouse gas emissions by regulating archaeal community during industrial-scale dairy manure composting. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 360:121163. [PMID: 38749130 DOI: 10.1016/j.jenvman.2024.121163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 04/22/2024] [Accepted: 05/10/2024] [Indexed: 06/05/2024]
Abstract
In this study, the effects of micro-positive pressure formed by covering with a semipermeable membrane in the heating phase of dairy manure composting on greenhouse gas emissions and the mechanism of reducing methane emissions by the archaeal community were investigated. A large-scale experiment was conducted with semipermeable membrane-covered composting (SMC), forced aeration composting (FAC), and traditional static composting (TSC) groups. The results showed that the oxygen concentration and methanogen abundance were key factors in regulating methane emissions. In the heating phase of SMC, the micro-positive pressure could enhance the O2 utilization rate and heating rate, resulting in Methanobrevibacter and Methanobacterium greatly decreasing, and the abundance of mcrA decreased by 90.03%, while that of pmoA did not increase. Compared with FAC and TSC, the cumulative methane emissions in SMC decreased by 51.75% and 96.04%, respectively. Therefore, the micro-positive pressure could effectively reduce greenhouse gas emissions by inhibiting the growth of methanogens.
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Affiliation(s)
- Chen Fang
- College of Agriculture, Guizhou University, Guizhou Province, Guiyang, 550025, China; Engineering Laboratory for AgroBiomass Recycling & Valorizing, College of Engineering, China Agricultural University, Beijing, 100083, China
| | - Huiwen Qu
- Engineering Laboratory for AgroBiomass Recycling & Valorizing, College of Engineering, China Agricultural University, Beijing, 100083, China
| | - Sanwei Yang
- College of Agriculture, Guizhou University, Guizhou Province, Guiyang, 550025, China
| | - Guandi He
- College of Agriculture, Guizhou University, Guizhou Province, Guiyang, 550025, China
| | - Ya Su
- Engineering Laboratory for AgroBiomass Recycling & Valorizing, College of Engineering, China Agricultural University, Beijing, 100083, China
| | - Xueqin He
- Engineering Laboratory for AgroBiomass Recycling & Valorizing, College of Engineering, China Agricultural University, Beijing, 100083, China
| | - Guangqun Huang
- Engineering Laboratory for AgroBiomass Recycling & Valorizing, College of Engineering, China Agricultural University, Beijing, 100083, China.
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Shetty BD, Pandey PK, Mai K. Microbial diversity in dairy manure environment under liquid-solid separation systems. ENVIRONMENTAL TECHNOLOGY 2024:1-17. [PMID: 38310325 DOI: 10.1080/09593330.2024.2309481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 01/10/2024] [Indexed: 02/05/2024]
Abstract
In dairy manure, a wide array of microorganisms, including many pathogens, survive and grow under suitable conditions. This microbial community offers a tremendous opportunity for studying animal health, the transport of microbes into the soil, air, and water, and consequential impacts on public health. The aim of this study was to assess the impacts of manure management practices on the microbial community of manure. The key novelty of this work is to identify the impacts of various stages of manure management on microbes living in dairy manure. In general, the majority of dairy farms in California use a flush system to manage dairy manure, which involves liquid-solid separations. To separate liquid and solid in manure, Multi-stage Alternate Dairy Effluent Management Systems (ADEMS) that use mechanical separation systems (MSS) or weeping wall separation systems (WWSS) are used. Thus, this study was conducted to understand how these manure management systems affect the microbial community. We studied the microbial communities in the WWSS and MSS separation systems, as well as in the four stages of the ADEMS. The 16S rRNA gene from the extracted genomic DNA of dairy manure was amplified using the NovoSeq Illumina next-generation sequencing platform. The sequencing data were used to perform the analysis of similarity (ANOSIM) and multi-response permutation procedure (MRRP) statistical tests, and the results showed that microbial communities among WWSS and MSS were significantly different (p < 0.05). These findings have significant practical implications for the design and implementation of manure management practices in dairy farms.
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Affiliation(s)
- B Dharmaveer Shetty
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA
| | - Pramod K Pandey
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA
| | - Kelly Mai
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA
- Mechanisms of Disease and Translational Research, School of Medical Science, University of New South Wales, Sydney, Australia
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Shetty BD, Amaly N, Weimer BC, Pandey P. Predicting Escherichia coli levels in manure using machine learning in weeping wall and mechanical liquid solid separation systems. Front Artif Intell 2023; 5:921924. [PMID: 36686852 PMCID: PMC9848401 DOI: 10.3389/frai.2022.921924] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 11/21/2022] [Indexed: 01/06/2023] Open
Abstract
An increased understanding of the interaction between manure management and public and environmental health has led to the development of Alternative Dairy Effluent Management Strategies (ADEMS). The efficiency of such ADEMS can be increased using mechanical solid-liquid-separator (SLS) or gravitational Weeping-Wall (WW) solid separation systems. In this research, using pilot study data from 96 samples, the chemical, physical, biological, seasonal, and structural parameters between SLS and WW of ADEM systems were compared. Parameters including sodium, potassium, total salts, volatile solids, pH, and E. coli levels were significantly different between the SLS and WW of ADEMS. The separated solid fraction of the dairy effluents had the lowest E. coli levels, which could have beneficial downstream implications in terms of microbial pollution control. To predict effluent quality and microbial pollution risk, we used Escherichia coli as the indicator organism, and a versatile machine learning, ensemble, stacked, super-learner model called E-C-MAN (Escherichia coli-Manure) was developed. Using pilot data, the E-C-MAN model was trained, and the trained model was validated with the test dataset. These results demonstrate that the heuristic E-C-MAN ensemble model can provide a pilot framework toward predicting Escherichia coli levels in manure treated by SLS or WW systems.
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Affiliation(s)
- B. Dharmaveer Shetty
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Noha Amaly
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States,Polymeric Materials Research Department, Advanced Technology and New Materials Research Institute, City of Scientific Research and Technological Applications (SRTA-City), New Borg El-Arab City, Alexandria, Egypt
| | - Bart C. Weimer
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Pramod Pandey
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States,*Correspondence: Pramod Pandey
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Zhang X, Liu C, Liao W, Wang S, Zhang W, Xie J, Gao Z. Separation efficiency of different solid-liquid separation technologies for slurry and gas emissions of liquid and solid fractions: A meta-analysis. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 310:114777. [PMID: 35219208 DOI: 10.1016/j.jenvman.2022.114777] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 02/17/2022] [Accepted: 02/18/2022] [Indexed: 06/14/2023]
Abstract
Solid-liquid separation (SLS) technology is widely used in the slurry management in animal farms. This study conducted a comprehensive meta-analysis of 45 published articles to evaluate the differences in separation efficiencies (SEX-SF) of various SLSs and the changes of gas emissions before and after the separation during on-farm slurry storage. The results indicated that the SEX-SF of the untreated raw slurry and acidified slurry were consistently greater than those of the digested slurry, and centrifugation resulted in greater SEX-SF than the other mechanical methods. Both measured and simulated data showed that the centrifuge technology had greater reductions in greenhouse gas (GHG) emissions relative to the screw press (56.1-58.0% vs. 38.9-40.2% for untreated slurry, and 29.7-30.2% vs. 22.5-23.2% for digested slurry), mainly due to CH4 reduction. Additionally, we identify the need for further assessment of the environmental risks that are associated with SLSs for the development of an optimal slurry management chain.
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Affiliation(s)
- Xinxing Zhang
- College of Resources and Environmental Sciences, Hebei Agricultural University. Baoding, PR China
| | - Chunjing Liu
- College of Resources and Environmental Sciences, Hebei Agricultural University. Baoding, PR China; Key Laboratory for Farmland Eco-Environment of Hebei Province, Baoding, PR China
| | - Wenhua Liao
- College of Resources and Environmental Sciences, Hebei Agricultural University. Baoding, PR China; Key Laboratory for Farmland Eco-Environment of Hebei Province, Baoding, PR China
| | - Shanshan Wang
- College of Resources and Environmental Sciences, Hebei Agricultural University. Baoding, PR China
| | - Weitao Zhang
- General Husbandry Station of Hebei Province, Shijiazhuang, 050000, PR China
| | - Jianzhi Xie
- College of Resources and Environmental Sciences, Hebei Agricultural University. Baoding, PR China; Key Laboratory for Farmland Eco-Environment of Hebei Province, Baoding, PR China
| | - Zhiling Gao
- College of Resources and Environmental Sciences, Hebei Agricultural University. Baoding, PR China; Key Laboratory for Farmland Eco-Environment of Hebei Province, Baoding, PR China.
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