Literature DB >> 22444661

Modelling of manure production by pigs and NH3, N2O and CH4 emissions. Part II: effect of animal housing, manure storage and treatment practices.

C Rigolot1, S Espagnol, P Robin, M Hassouna, F Béline, J M Paillat, J-Y Dourmad.   

Abstract

A model has been developed to predict pig manure evolution (mass, dry and organic matter, N, P, K, Cu and Zn contents) and related gaseous emissions (methane (CH4), nitrous oxide (N2O) and ammonia (NH3)) from pig excreta up to manure stored before spreading. This model forms part of a more comprehensive model including the prediction of pig excretion. The model simulates contrasted management systems, including different options for housing (slatted floor or deep litter), outside storage of manure and treatment (anaerobic digestion, biological N removal processes, slurry composting (SC) with straw and solid manure composting). Farmer practices and climatic conditions, which have significant effects on gaseous emissions within each option, have also been identified. The quantification of their effects was based on expert judgement from literature and local experiments, relations from mechanistic models or simple emission factors, depending on existing knowledge. The model helps to identify relative advantages and weaknesses for each system. For example, deep-litter with standard management practices is associated with high-greenhouse gas (GHG) production (+125% compared to slatted floor) and SC on straw is associated with high NH3 emission (+15% compared to slatted floor). Another important result from model building and first simulations is that farmer practices and the climate induce an intra-system (for a given infrastructure) variability of NH3 and GHG emissions nearly as high as inter-system variability. For example, in deep-litter housing systems, NH3 and N2O emissions from animal housing may vary between 6% and 53%, and between 1% and 19% of total N excreted, respectively. Thus, the model could be useful to identify and quantify improvement margins on farms, more precisely or more easily than current methodologies.

Entities:  

Year:  2010        PMID: 22444661     DOI: 10.1017/S1751731110000509

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  8 in total

1.  Effects of dietary fresh fermented soybean meal on growth performance, ammonia and particulate matter emissions, and nitrogen excretion in nursery piglets.

Authors:  Sai-Sai Cheng; Yuan Li; Shi-Jie Geng; Luan-Sha Hu; Xiong-Feng Fu; Xin-Yan Han
Journal:  J Zhejiang Univ Sci B       Date:  2017 Dec.       Impact factor: 3.066

2.  Economic and environmental assessments of combined genetics and nutrition optimization strategies to improve the efficiency of sustainable pork production.

Authors:  Tara Soleimani; Susanne Hermesch; Hélène Gilbert
Journal:  J Anim Sci       Date:  2021-03-01       Impact factor: 3.159

3.  Summary of performance data for technologies to control gaseous, odor, and particulate emissions from livestock operations: Air management practices assessment tool (AMPAT).

Authors:  Devin L Maurer; Jacek A Koziel; Jay D Harmon; Steven J Hoff; Angela M Rieck-Hinz; Daniel S Andersen
Journal:  Data Brief       Date:  2016-04-12

4.  Evaluating environmental impacts of selection for residual feed intake in pigs.

Authors:  T Soleimani; H Gilbert
Journal:  Animal       Date:  2020-06-22       Impact factor: 3.240

5.  Eco-Friendly Feed Formulation and On-Farm Feed Production as Ways to Reduce the Environmental Impacts of Pig Production Without Consequences on Animal Performance.

Authors:  Francine de Quelen; Ludovic Brossard; Aurélie Wilfart; Jean-Yves Dourmad; Florence Garcia-Launay
Journal:  Front Vet Sci       Date:  2021-07-06

Review 6.  Prospects from agroecology and industrial ecology for animal production in the 21st century.

Authors:  B Dumont; L Fortun-Lamothe; M Jouven; M Thomas; M Tichit
Journal:  Animal       Date:  2012-12-21       Impact factor: 3.240

7.  Evaluation of gaseous concentrations, bacterial diversity and microbial quantity in different layers of deep litter system.

Authors:  Jing Li; Jingyu Wang; Fujin Wang; Aiguo Wang; Peishi Yan
Journal:  Asian-Australas J Anim Sci       Date:  2016-06-11       Impact factor: 2.509

8.  Pig Manure Management: A Methodology for Environmentally Friendly Decision-Making.

Authors:  Andrey Izmaylov; Aleksandr Briukhanov; Ekaterina Shalavina; Eduard Vasilev
Journal:  Animals (Basel)       Date:  2022-03-16       Impact factor: 2.752

  8 in total

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