1
|
Pang Y, Chen C, Yang Y, Mo D. Porkolor: A deep learning framework for pork color classification. Meat Sci 2025; 221:109731. [PMID: 39693826 DOI: 10.1016/j.meatsci.2024.109731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Revised: 12/05/2024] [Accepted: 12/09/2024] [Indexed: 12/20/2024]
Abstract
Pork color is crucial for assessing its safety and freshness, and traditional methods of observing through human eyes are inefficient and subjective. In recent years, several methods have been proposed based on computer vision and deep learning have been proposed, which can provide objective and stable evaluations. However, these methods suffer from a lack of standardized data collection methods and large-scale datasets for training, leading to poor model performance and limited generalization capabilities. Additionally, the model accuracy was limited by an absence of effective image preprocessing of background noises.To address these issues, we have designed a standardized pork image collection device and collected 1707 high-quality pork images. Base on the data, we proposed a novel deep learning model to predict the color. The framework consists of two modules: image preprocessing module and pork color classification module. The image preprocessing module uses the Segment Anything Model (SAM) to extract the pork portion and remove background noise, thereby enhancing the model's accuracy and stability. The pork color classification module uses the ResNet-101 model trained with a patch-based training strategy as the backbone. As a result, the model achieved a classification accuracy of 91.50 % on our high quality dataset and 89.00 % on the external validation dataset. The Porkolor online application is freely available at https://bio-web1.nscc-gz.cn/app/Porkolor.
Collapse
Affiliation(s)
- Yuxian Pang
- Sun Yat-sen University, No. 132 Waihuandong Road, Guangzhou Higher Education Mega Center, Guangzhou 510006, China.
| | - Chuchu Chen
- Sun Yat-sen University, No. 132 Waihuandong Road, Guangzhou Higher Education Mega Center, Guangzhou 510006, China.
| | - Yuedong Yang
- Sun Yat-sen University, No. 132 Waihuandong Road, Guangzhou Higher Education Mega Center, Guangzhou 510006, China.
| | - Delin Mo
- Sun Yat-sen University, No. 132 Waihuandong Road, Guangzhou Higher Education Mega Center, Guangzhou 510006, China.
| |
Collapse
|
2
|
Del Rosario Villavicencio-Gutiérrez M, Martínez-Castañeda FE, Rogers-Montoya NA, Martínez-Campos AR, Gómez-Tenorio G, Velazquez L, Peñuelas-Rivas CG. Environmental impacts of medium-scale pig farming at technical and economic optimum production weight in Mexico. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174240. [PMID: 38925383 DOI: 10.1016/j.scitotenv.2024.174240] [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: 04/13/2024] [Revised: 06/12/2024] [Accepted: 06/21/2024] [Indexed: 06/28/2024]
Abstract
Medium-scale pig production systems, which make up 30 % of Mexico's pig farms, face two key obstacles impacting their economic and financial performance. The first is the absence of a sales plan based on pigs' weight, which negatively affects both profitability and resource management. The second obstacle is inadequate waste management, which hampers efforts to mitigate environmental impacts generated by pig farms. Based on this criterion, this study aims to determine technical and economic optimum levels of a medium-scale pig farm and evaluate its associated environmental impacts. Based on the last farm sale weight (116.3 kg - base scenario), technical and economic optimum levels were estimated using a production function, resulting in a technical optimum of 155 kg and an economic optimum of 127 kg. An environmental assessment of the pig fattening process was carried out following the principles of the Life Cycle Analysis methodological framework. Using a cradle-to-farm gate perspective, and establishing 1 kg of live-weight pig as the functional unit. The results indicated that production at maximum weight level (155 kg), increased environmental impacts by 60 % to 75 % compared to the base scenario. In contrast, at the maximum economic benefit level (127 kg), environmental impacts increased by 5 % to 10 %. Feed production represented the largest contribution (over 74 %) in six impact categories. The results provide valuable information for medium-scale pig farms to mitigate the environmental burdens associated with the optimal production weight and to direct efforts towards achieving future economic and environmental efficiency.
Collapse
Affiliation(s)
| | | | | | | | | | - Luis Velazquez
- Departamento de Ingeniería Industrial, Universidad de Sonora, Sonora, Mexico
| | | |
Collapse
|
3
|
Wu H, Liu Y, Dai C, Ye Y, Zhu H, Fang W. Life-cycle comparisons of economic and environmental consequences for pig production with four different models in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:21668-21686. [PMID: 38393572 DOI: 10.1007/s11356-024-32541-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 02/15/2024] [Indexed: 02/25/2024]
Abstract
China, the world's largest consumer and producer of pork in the world, is attracting increasing attention due to the environmental impacts of its pig production. Previous studies seldom comprehensively compare the environmental impacts of the pig production system with different models, resulting in different intensities of environmental impacts. We aim to comprehensively evaluate Chinese pig production with different breeding models and explore a more sustainable way for pig production. We use life cycle assessment (LCA) to evaluate and compare environmental impacts of pig production system with four main breeding models in China from 1998 to 2020: domestic breeding, small-scale breeding, medium-scale breeding, and large-scale breeding. The life cycle encompasses fertilizer production, feed production, feed processing, pig raising, waste treatment, and slaughtering. The impact categories including energy consumption (EN), global warming (GWP), acidification (AP), eutrophication (EU), water use (WD), and land occupation (LO) are expressed with "100 kg live weight of fattening pig at farm gate." The results show that driven by governmental support, growing meat demand, and cost advantage, the scale breeding especially large-scale breeding simultaneously yielded greater net economic benefit and less environmental impact compared to other breeding models especially the domestic breeding. Due to mineral fertilizer application, feed production contributed over 50% of the total environmental impacts. Notably, the composition of feeds exerted significant influence on the environmental impacts arising from fertilizer production and feed processing. Furthermore, attributable to the substantial use of electricity and heat, as well as the concomitant emissions, pig raising contributed the largest GWP, while ranking second in terms of AP and EU. Notably, waste management constituted the third-largest EU, AP, and WD. In addition to promote scale breeding, we put forth several sustainable measures encompassing feed composition, cultivation practices, fertilizer utilization, and waste management for consideration.
Collapse
Affiliation(s)
- Huijun Wu
- School of Earth and Environment, Anhui University of Science and Technology, Huainan, 232001, China.
| | - Yongxin Liu
- School of Earth and Environment, Anhui University of Science and Technology, Huainan, 232001, China
| | - Chengjuan Dai
- School of Earth and Environment, Anhui University of Science and Technology, Huainan, 232001, China
| | - Yuanyuan Ye
- School of Earth and Environment, Anhui University of Science and Technology, Huainan, 232001, China
| | - Huimin Zhu
- School of Earth and Environment, Anhui University of Science and Technology, Huainan, 232001, China
| | - Weixin Fang
- School of Earth and Environment, Anhui University of Science and Technology, Huainan, 232001, China
| |
Collapse
|
4
|
Zhang L, Mao Y, Chen Z, Hu X, Wang C, Lu C, Wang L. A systematic review of life-cycle GHG emissions from intensive pig farming: Accounting and mitigation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 907:168112. [PMID: 37884131 DOI: 10.1016/j.scitotenv.2023.168112] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 10/19/2023] [Accepted: 10/23/2023] [Indexed: 10/28/2023]
Abstract
Pork accounts for approximately 35 % of the global meat supply, with approximately 747 million tons of CO2e greenhouse gas (GHG) emissions annually. To meet the increasing demand for pork, intensive farming is becoming the priority rearing system owing to its higher productivity. Given the climate transformation ambitions of the pig industry but the lack of knowledge and data, we conducted a systematic review of studies published in the period of 2010-2022 from a life-cycle perspective, with a focus on greenhouse gas emissions accounting and mitigation. The significant variations in systematic harmonized global warming intensities (GWIs) can be primarily attributed to differences in accounting approaches, activity data, technologies and geographical conditions. To understand more, we broke down the entire life cycle and revealed the underlying reasons for modelling mechanisms and data from the main emitters (e.g., feeding, pig rearing, and manure management). These findings are expected to support and improve the transparency, consistency, and comprehensiveness of life-cycle GHG emissions accounting in pig farming. Potential mitigation measures were also reviewed and discussed to provide insights to support the sustainable development of the pig industry.
Collapse
Affiliation(s)
- Lei Zhang
- Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China
| | - Yingrong Mao
- Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China
| | - Zhonghao Chen
- Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China
| | - Xiaoshan Hu
- Muyuan Foodstuff Co., Ltd, Longsheng Industrial Park Wolong District, Nanyang, 473000, Henan Province, China
| | - Chuan Wang
- Muyuan Foodstuff Co., Ltd, Longsheng Industrial Park Wolong District, Nanyang, 473000, Henan Province, China
| | - Chang Lu
- Muyuan Foodstuff Co., Ltd, Longsheng Industrial Park Wolong District, Nanyang, 473000, Henan Province, China
| | - Lei Wang
- Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China; Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang 310030, China; Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China.
| |
Collapse
|
5
|
Liu B, Zhou H, Li L, Ai J, He H, Yu J, Li P, Zhang W. Environmental impact and optimization suggestions of pig manure and wastewater treatment systems from a life cycle perspective. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 905:167262. [PMID: 37741414 DOI: 10.1016/j.scitotenv.2023.167262] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 09/19/2023] [Accepted: 09/20/2023] [Indexed: 09/25/2023]
Abstract
With the rapid development of the pig farming industry in China, a large amount of pig manure is inevitably generated. The management and utilization of pig manure in a sustainable approach require a systematic analysis of the environmental impacts generated from the existing pig manure treatment and disposal routes. In this study, three typical pig manure treatment and disposal routes: pig manure solid-liquid separation, i) wastewater biological treatment, direct land application of manure/sludge; ii) black-film anaerobic digestion of wastewater, mono-composting of manure/sludge and land use; iii) wastewater biological treatment, co-composting of manure/sludge and land use, were comparatively assessed in terms of their environmental impacts using the life cycle assessment. The results show that the added chemicals in wastewater treatment and the consumed electricity in composting the manure/sludge are the two main contributors to all environmental impacts. Thus, using green chemicals, controlling the dosage of added chemicals accurately, and selecting composting types with low energy consumption will significantly reduce the environmental burden of pig manure treatment and disposal routes. For the global warming potential of the evaluated three pig manure treatment and disposal routes, direct emissions of greenhouse gases during the composting process contribute the most, accounting for 77 %, 95 %, and 79 %, respectively. Furthermore, the struvite recovery with anaerobic digestion from pig manure will bring excellent environmental benefits, which will markedly offset the toxicity impacts and carbon emissions derived from pig manure treatment and disposal process. Overall, this work quantitatively evaluates the potential environmental impacts of the existing pig manure treatment and disposal routes, providing insights on optimization for future technical improvement and development.
Collapse
Affiliation(s)
- Binbin Liu
- School of Environmental Studies, China University of Geosciences, Wuhan 430074, Hubei, China
| | - Hao Zhou
- School of Environmental Studies, China University of Geosciences, Wuhan 430074, Hubei, China
| | - Lanfeng Li
- School of Environmental Studies, China University of Geosciences, Wuhan 430074, Hubei, China
| | - Jing Ai
- School of Environmental Studies, China University of Geosciences, Wuhan 430074, Hubei, China; Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Hang He
- School of Environmental Studies, China University of Geosciences, Wuhan 430074, Hubei, China
| | - Junxia Yu
- Key Laboratory of Novel Biomass-Based Environmental and Energy Materials in Petroleum and Chemical Industry, School of Chemistry and Environmental Engineering, Wuhan Institute of Technology, Wuhan 430074, China
| | - Ping Li
- School of Environmental Studies, China University of Geosciences, Wuhan 430074, Hubei, China
| | - Weijun Zhang
- School of Environmental Studies, China University of Geosciences, Wuhan 430074, Hubei, China; Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, Hubei, China; National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
| |
Collapse
|
6
|
He D, Deng X, Wang X, Zhang F. Livestock greenhouse gas emission and mitigation potential in China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 348:119494. [PMID: 37924696 DOI: 10.1016/j.jenvman.2023.119494] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/25/2023] [Accepted: 10/28/2023] [Indexed: 11/06/2023]
Abstract
Livestock is an important source of greenhouse gas emissions (GHGE) in China. Understanding the greenhouse gas (GHG) emission trends and reduction strategies in livestock is crucial for promoting low-carbon transformation of the livestock sector (LS) and achieving the goal of "carbon peak and carbon neutralization". First, based on the life cycle assessment and IPCC coefficient methods, we calculated the GHGE of the LS in 31 provinces of China from 2000 to 2020 and identified the temporal and spatial evolution of GHG emission intensity. The LMDI method was then used to analyze the influence of efficiency, structure, economy, and population size on GHGE. Finally, the STIRPAT model was used to simulate the future evolution trend of the LS emissions under the SSPs scenario. The results revealed that the GHGE in the life cycle of livestock production decreased from 535.47 Mt carbon dioxide equivalent (CO2e) in 2000 to 532.18 Mt CO2e in 2020, and the main source was CH4 emissions from enteric fermentation of livestock. Economic and efficiency factors markedly influenced the changes in GHGE from the LS in China. Further, economic factors contributed >40% to the increase in GHGE in most provinces. Under the SSP1, SSP2, and SSP4 scenarios, livestock production can achieve the carbon peak target in 2030. Under the baseline scenario (SSP2), the GHGE of China's LS in 2030 and 2060 are expected to be 491.48 Mt CO2e and 352.11 Mt CO2e, respectively. The focus of mitigation measures for livestock production in the future is to optimize the production structure of the LS, promote the low-carbon transformation of the energy structure of livestock feeding, and establish an efficient and intensive management model. In addition, we focus on emission reduction in key areas, such as Northeast and Northwest China, while optimizing diet and reducing food waste from the consumer side.
Collapse
Affiliation(s)
- Dawei He
- Faculty of Resources and Environmental Science, Hubei University, Wuhan, 430062, China
| | - Xiangzheng Deng
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Xinsheng Wang
- Faculty of Resources and Environmental Science, Hubei University, Wuhan, 430062, China
| | - Fan Zhang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| |
Collapse
|
7
|
Yang P, Yu M, Ma X, Deng D. Carbon Footprint of the Pork Product Chain and Recent Advancements in Mitigation Strategies. Foods 2023; 12:4203. [PMID: 38231615 DOI: 10.3390/foods12234203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 11/13/2023] [Accepted: 11/13/2023] [Indexed: 01/19/2024] Open
Abstract
The carbon footprint of pork production is a pressing concern due to the industry's significant greenhouse gas emissions. It is crucial to achieve low-carbon development and carbon neutrality in pork production. Thus, this paper reviewed the recent studies about various sources of carbon emissions throughout the current pork production chain; feed production, processing, and manure management are the major sources of carbon emissions. The carbon footprint of the pork production chain varies from 0.6 to 6.75 kg CO2e·kg-1 pig live weight, and the carbon footprint of 1 kg of pork cuts is equivalent to 2.25 to 4.52 kg CO2e. A large reduction in carbon emissions could be achieved simultaneously if combining strategies of reducing transportation distances, optimizing farmland management, minimizing chemical fertilizer usage, promoting organic farming, increasing renewable energy adoption, and improving production efficiency. In summary, these mitigation strategies could effectively decrease carbon emissions by 6.5% to 50% in each sector. Therefore, a proper combination of mitigation strategies is essential to alleviate greenhouse gas emissions without sacrificing pork supply.
Collapse
Affiliation(s)
- Pan Yang
- Key Laboratory of Animal Nutrition and Feed of South China, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
| | - Miao Yu
- Key Laboratory of Animal Nutrition and Feed of South China, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
| | - Xianyong Ma
- Key Laboratory of Animal Nutrition and Feed of South China, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
| | - Dun Deng
- Key Laboratory of Animal Nutrition and Feed of South China, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
| |
Collapse
|
8
|
Pexas G, Kyriazakis I. Hotspots and bottlenecks for the enhancement of the environmental sustainability of pig systems, with emphasis on European pig systems. Porcine Health Manag 2023; 9:53. [PMID: 37974286 PMCID: PMC10652603 DOI: 10.1186/s40813-023-00347-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 11/03/2023] [Indexed: 11/19/2023] Open
Abstract
Although pig systems start from a favourable baseline of environmental impact compared to other livestock systems, there is still scope to reduce their emissions and further mitigate associated impacts, especially in relation to nitrogen and phosphorous emissions. Key environmental impact hotspots of pig production systems are activities associated with feed production and manure management, as well as direct emissions (such as methane) from the animals and energy use. A major contributor to the environmental impacts associated with pig feed is the inclusion of soya in pig diets, especially since European pig systems rely heavily on soya imported from areas of the globe where crop production is associated with significant impacts of land use change, deforestation, carbon emissions, and loss of biodiversity. The "finishing" pig production stage contributes most to these environmental impacts, due to the amount of feed consumed, the efficiency with which feed is utilised, and the amount of manure produced during this stage. By definition therefore, any substantial improvements pig system environmental impact would arise from changes in feed production and manure management. In this paper, we consider potential solutions towards system environmental sustainability at these pig system components, as well as the bottlenecks that inhibit their effective implementation at the desired pace and magnitude. Examples include the quest for alternative protein sources to soya, the limits (perceived or real) to the genetic improvement of pigs, and the implementation of alternative manure management strategies, such as production of biogas through anaerobic digestion. The review identifies and discusses areas that future efforts can focus on, to further advance understanding around the potential sustainability benefits of modifications at various pig system components, and key sustainability trade-offs across the environment-economy-society pillars associated with synergistic and antagonistic effects when joint implementation of multiple solutions is considered. In this way, the review opens a discussion to facilitate the development of holistic decision support tools for pig farm management that account for interactions between the "feed * animal * manure" system components and trade-offs between sustainability priorities (e.g., environmental vs economic performance of pig system; welfare improvements vs environmental impacts).
Collapse
Affiliation(s)
- Georgios Pexas
- School of Water, Energy and Environment, Cranfield University, Cranfield, UK.
| | - Ilias Kyriazakis
- Institute for Global Food Security, Queen's University Belfast, Belfast, UK
| |
Collapse
|
9
|
Xu X, Xu Y, Li J, Lu Y, Jenkins A, Ferrier RC, Li H, Stenseth NC, Hessen DO, Zhang L, Li C, Gu B, Jin S, Sun M, Ouyang Z, Mathijs E. Coupling of crop and livestock production can reduce the agricultural GHG emission from smallholder farms. iScience 2023; 26:106798. [PMID: 37235053 PMCID: PMC10206160 DOI: 10.1016/j.isci.2023.106798] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 01/20/2023] [Accepted: 04/28/2023] [Indexed: 05/28/2023] Open
Abstract
Ensuring global food security and environmental sustainability is dependent upon the contribution of the world's hundred million smallholder farms, but the contributions of smallholder farms to global agricultural greenhouse gas (GHG) emissions have been understudied. We developed a localized agricultural life cycle assessment (LCA) database to calculate GHG emissions and made the first extensive assessment of the smallholder farms' GHG emission reduction potentials by coupling crop and livestock production (CCLP), a redesign of current practices toward sustainable agriculture in China. CCLP can reduce the GHG emission intensity by 17.67%, with its own feed and manure returning to the field as an essential path. Scenario analysis verified that greater GHG emission reduction (28.09%-41.32%) will be achieved by restructuring CCLP. Therefore, this mixed farming is a mode with broader benefits to provide sustainable agricultural practices for reducing GHG emissions fairly.
Collapse
Affiliation(s)
- Xiangbo Xu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
- United Nations Environment Programme-International Ecosystem Management Partnership (UNEP-IEMP), Beijing 100101, China
| | - Yan Xu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
- Yellow River Delta Modern Agricultural Engineering Laboratory, Chinese Academy of Sciences, Beijing 100101, China
- Chinese Academy of Sciences University, Beijing 100049, China
| | - Jing Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Yonglong Lu
- State Key Laboratory of Marine Environmental Science and Key Laboratory of the Ministry of Education for Coastal Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Fujian 361102, China
| | - Alan Jenkins
- UK Centre for Ecology & Hydrology, Wallingford, OX 10 8BB Oxon, UK
| | | | - Hong Li
- UK Centre for Ecology & Hydrology, Wallingford, OX 10 8BB Oxon, UK
| | - Nils Chr Stenseth
- Centre for Ecological and Evolutionary Synthesis, University of Oslo, 03160 Oslo 3, Norway
| | - Dag O. Hessen
- Section for Aquatic Biology and Toxicology, Centre for Biogeochemistry in the Anthropocene, University of Oslo, 03160 Oslo 3, Norway
| | - Linxiu Zhang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
- United Nations Environment Programme-International Ecosystem Management Partnership (UNEP-IEMP), Beijing 100101, China
| | - Chang Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Baojing Gu
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Shuqin Jin
- Research Center for Rural Economy, Ministry of Agriculture and Rural Affairs, Beijing 100810, China
| | - Mingxing Sun
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhu Ouyang
- Yellow River Delta Modern Agricultural Engineering Laboratory, Chinese Academy of Sciences, Beijing 100101, China
| | - Erik Mathijs
- Department of Earth and Environmental Sciences, KU Leuven, Leuven 3001, Belgium
| |
Collapse
|
10
|
Alba-Reyes Y, Barrera EL, Brito-Ibarra Y, Hermida-García FO. Life cycle environmental impacts of using food waste liquid fodder as an alternative for pig feeding in a conventional Cuban farm. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:159915. [PMID: 36343806 DOI: 10.1016/j.scitotenv.2022.159915] [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: 07/04/2022] [Revised: 10/13/2022] [Accepted: 10/29/2022] [Indexed: 06/16/2023]
Abstract
This work aimed to compare cleaner production alternatives for pig production in the Cuban context through the Life Cycle Assessment (LCA) approach emphasizing the utilization of food waste (FW) as a substitute for traditional grain-based pig feeding. A conventional waste management method (lagooning) was assessed, including more environmentally friendly approaches (use of anaerobic digestion (AD) process); including the substitution of a fraction of solid fodder with food waste liquid fodder (LF), obtained from food waste. The analysis was based on one porcine equivalent livestock unit. The environmental impact categories assessed were global warming, terrestrial ecotoxicity, human carcinogenic toxicity, freshwater ecotoxicity, terrestrial acidification, and freshwater eutrophication. The major environmental benefits for pig production were observed when the maximum capacity of pigs was considered. In addition, favorable environmental performance was achieved by considering the substitution of solid fodder by LF, the AD as a waste management process, and the valorization of the solid and liquid effluents. The avoided products-related activities were the main contributor to freshwater ecotoxicity, human carcinogenic toxicity, and terrestrial ecotoxicity impact categories (up to 71 %). The sensitivity analysis showed that the variation in LF composition (protein concentration) could have a remarkable impact in all impact categories. Climate change performed as the more sensible impact category, suggesting that greenhouse gas (GHG) emissions, such as CO2 and N2O, are important drivers to change the environmental impact and need more attention. This research demonstrates that the environmental profile of the process can be improved by applying a cleaner production approach (AD as a waste management alternative and LF substituting solid fodder).
Collapse
Affiliation(s)
- Yasmani Alba-Reyes
- Centre for Energy and Industrial Processes Studies (CEEPI), University of Sancti Spiritus, Ave de Los Martires 360, 60100 Sancti Spiritus, Cuba.
| | - Ernesto L Barrera
- Centre for Energy and Industrial Processes Studies (CEEPI), University of Sancti Spiritus, Ave de Los Martires 360, 60100 Sancti Spiritus, Cuba
| | - Yaima Brito-Ibarra
- Centre for Energy and Industrial Processes Studies (CEEPI), University of Sancti Spiritus, Ave de Los Martires 360, 60100 Sancti Spiritus, Cuba
| | - Félix Orestes Hermida-García
- Centre for Energy and Industrial Processes Studies (CEEPI), University of Sancti Spiritus, Ave de Los Martires 360, 60100 Sancti Spiritus, Cuba
| |
Collapse
|
11
|
Hu Q, Shi H, Wang L, Wang L, Hou Y, Wang H, Lai C, Zhang S. Mitigating environmental impacts using net energy system in feed formulation in China's pig production. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 856:159103. [PMID: 36181803 DOI: 10.1016/j.scitotenv.2022.159103] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 08/21/2022] [Accepted: 09/24/2022] [Indexed: 06/16/2023]
Abstract
As the world's largest pork producer, China is facing substantial environmental pressures caused by pig production and the relevant feed production. The net energy (NE) system is promoted as a new evaluation method to evaluate energy content in feed and energy requirements of pigs, but its application lacks of comprehensive and comparative evaluation from the environmental perspective. To identify influence factors and to develop mitigation strategies, the carbon and nitrogen footprints and land use (LU) of pigs (25-120 kg) in China were explored through scenario analysis and cradle-to-farm gate life cycle assessment (LCA). Functional unit (FU) was defined as 1 kg of live weight increase in pig. Among all the procedures of pig production, feed crop production and manure management were the principal contributors to the greenhouse gas (GHG) and nitrogen emissions. As for the carbon footprint, the GHG emissions ranged from 2.37 to 2.55 kg CO2-eq. FU-1 for scenarios using the NE system, 2 % lower than that of the metabolizable energy (ME) system. Cottonseed meal-based scenario generated the lowest GHG emissions, and anaerobic digestion achieved the same effects as other manure management methods. As for the nitrogen footprint, reactive nitrogen (Nr) emissions ranged from 53.4 to 66.2 g Nr FU-1 for scenarios using the NE system, 4 % lower than that of the ME system. Peanut-based scenario won the lowest Nr losses. Moreover, arable LU ranged from 4.63 to 5.85 m2 FU-1 for scenarios using the NE system, 4 % lower than that of the ME system, and economic advantage by using the NE system was also proved. Sensitivity analysis and data quality assessment were conducted to quantify the uncertainties of the above models. In conclusion, the application of the NE system in feed formulation was an effective strategy to improve the environmental sustainability of China's pig production.
Collapse
Affiliation(s)
- Qile Hu
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs Feed Industry Centre, College of Animal Science and Technology, China Agriculture University, Beijing 100193, PR China
| | - Huangwei Shi
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs Feed Industry Centre, College of Animal Science and Technology, China Agriculture University, Beijing 100193, PR China
| | - Li Wang
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs Feed Industry Centre, College of Animal Science and Technology, China Agriculture University, Beijing 100193, PR China
| | - Lu Wang
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs Feed Industry Centre, College of Animal Science and Technology, China Agriculture University, Beijing 100193, PR China
| | - Yong Hou
- College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, Key Laboratory of Plant-Soil Interactions (Ministry of Education), China Agricultural University, Beijing 100193, PR China
| | - Hongliang Wang
- College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, Key Laboratory of Plant-Soil Interactions (Ministry of Education), China Agricultural University, Beijing 100193, PR China
| | - Changhua Lai
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs Feed Industry Centre, College of Animal Science and Technology, China Agriculture University, Beijing 100193, PR China.
| | - Shuai Zhang
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs Feed Industry Centre, College of Animal Science and Technology, China Agriculture University, Beijing 100193, PR China.
| |
Collapse
|
12
|
Liu X, Li Z, Sheng H, Cooney R, Yuan Z. The underestimated importance of fertilizer in aquacultural phosphorus budget: Case of Chinese mitten crab. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 852:158523. [PMID: 36063924 DOI: 10.1016/j.scitotenv.2022.158523] [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: 06/16/2022] [Revised: 08/13/2022] [Accepted: 08/31/2022] [Indexed: 06/15/2023]
Abstract
China's reliance on aquaculture has intensified to satisfy the growing human demand for high-quality animal protein, making it the only country whose aquaculture production has greatly exceeded that of capture fishery for a long time. Previous studies have shown that phosphorus (P) is a limiting nutrient for freshwater eutrophication; therefore, the quantification of P flows in freshwater aquaculture is of great importance for improving aquaculture efficiency and reducing environmental pollution. In this study, life cycle assessment (LCA) and substance flow analysis (SFA) are combined to develop a life cycle P flow model for Chinese mitten crab (Eriocheir sinensis) culture and calculate the P inputs, outputs and net change in stock. The results show a relatively low P use efficiency (4 %) in Chinese mitten crab. Among all life-cycle stages, the maximum P input occurs during adult crab cultivation, when feed is continuously added to maintain appropriate nutrition levels and increase body weight. In addition, fertilizer is often neglected in the existing accounts but accounts for 24 % of the total P inputs. On the output side, approximately 86 % of the P accumulates in sediment, indicating the potential of sediment recycling as a nutrient source in agriculture. This study provides an updated quantitative method for describing nutrient flows within freshwater aquaculture systems and will contribute to decision-making in pollution control of intensive freshwater aquaculture activities.
Collapse
Affiliation(s)
- Xin Liu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China; Lishui Institute of Ecology and Environment, Nanjing University, Nanjing 211200, China
| | - Zeru Li
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Hu Sheng
- Lishui Institute of Ecology and Environment, Nanjing University, Nanjing 211200, China
| | - Ronan Cooney
- Ryan Institute, School of Engineering, National University of Ireland, Galway, H91 HX31 Galway, Ireland
| | - Zengwei Yuan
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
| |
Collapse
|
13
|
Yang S, Wen Q, Chen Z. Biochar induced inhibitory effects on intracellular and extracellular antibiotic resistance genes in anaerobic digestion of swine manure. ENVIRONMENTAL RESEARCH 2022; 212:113530. [PMID: 35609652 DOI: 10.1016/j.envres.2022.113530] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Revised: 05/16/2022] [Accepted: 05/18/2022] [Indexed: 06/15/2023]
Abstract
Distribution of intracellular (iARGs) and extracellular ARGs (eARGs) in manure anaerobic digestion (AD) process coupled with two types of biochar (BC and BP) were investigated. And the effects of biochar on the conjugation transfer of ARGs were explored by deciphering the interaction of biochar with bacterial stress responses, physiological metabolism and antibiotic resistances. Results showed that AD process could effectively remove all the detected eARGs with efficiency of 47.4-98.2%. The modified biochar (BP) with larger specific surface area (SSA) was propitious to decrease the absolute copy number of extracellular resistance genes. AD process could effectively remove iARGs by inhibiting the growth of host bacteria. The results of structural equation models (SEM) indicated that biochar put indirect influences on the fate of ARGs (λ = -0.23, P > 0.05). Analysis on oxidative stress levels, antioxidant capacity, DNA damage-induced response (SOS) response and energy generation process demonstrated that biochar induced the oxidative stress response of microorganisms and enhanced the antioxidant capacity of bacteria. The elevated antioxidant capacity negatively affected SOS response, amplified cell membrane damage and further weakened the energy generation process, resulted in the inhibition of horizontal transfer of ARGs.
Collapse
Affiliation(s)
- Shuo Yang
- State Key Laboratory of Urban Water Resource and Environment, School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin, 150090, PR China
| | - Qinxue Wen
- State Key Laboratory of Urban Water Resource and Environment, School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin, 150090, PR China
| | - Zhiqiang Chen
- State Key Laboratory of Urban Water Resource and Environment, School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin, 150090, PR China; School of Civil Engineering, Lanzhou University of Technology, Lanzhou, 730070, PR China.
| |
Collapse
|
14
|
Lu X, Ward MP. Spatiotemporal analysis of reported classical swine fever outbreaks in China (2005-2018) and the influence of weather. Transbound Emerg Dis 2022; 69:e3183-e3195. [PMID: 35007396 PMCID: PMC9787383 DOI: 10.1111/tbed.14452] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/04/2022] [Accepted: 01/05/2022] [Indexed: 12/30/2022]
Abstract
Classical swine fever (CSF) is a viral disease that causes enormous economic losses in the swine industry in endemic countries including China. The aims of the current study were to describe the spatial distribution of annual CSF reports in China from 2005 to 2018, identify spatiotemporal clusters of annual CSF reports during this time period and to investigate the correlations between climate factors (rainfall, wind speed, temperature, vapour pressure and relative humidity) and the occurrence of CSF outbreaks. The strongest (Moran's index > 0.19), significant (p < .05) spatial clustering of reported outbreaks was observed during the first 4 years of the study period. This clustering was apparent in the four southern provinces of Guizhou, Guangxi, Guangdong and Yunnan. Five of the six significant (p ≤ .0001) spatiotemporal clusters occurred during the period 2005-2012. These were widely dispersed, with four clusters persisting for only 1 or 2 years, whereas two clusters (Jiangxi and Yunnan) persisted for 8 and 7 years, respectively. As a result of implementation of a national animal disease control plan and increasing coverage of vaccination, CSF outbreaks in China have generally been controlled and reduced, becoming sporadic in most provinces by 2018. We also confirmed that low relative humidity and high wind speed were significant weather variables associated with the occurrence of CSF. Furthermore, our study has confirmed that CSF is still endemic in some Chinese provinces, and we recommend that the national CSF control protocol be updated and standardized.
Collapse
Affiliation(s)
- Xiao Lu
- Sydney School of Veterinary ScienceThe University of SydneyCamdenAustralia
| | - Michael P. Ward
- Sydney School of Veterinary ScienceThe University of SydneyCamdenAustralia
| |
Collapse
|
15
|
Huang H, Zhan W, Du Z, Hong S, Dong T, She J, Min C. Pork primal cuts recognition method via computer vision. Meat Sci 2022; 192:108898. [DOI: 10.1016/j.meatsci.2022.108898] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 06/18/2022] [Accepted: 06/20/2022] [Indexed: 12/20/2022]
|