A mass balance model to predict the fate of copper and zinc in pig farming systems to reduce environmental impacts: Application to French context

IF 6.1 1区农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY

Agricultural Systems Pub Date : 2025-02-14 DOI:10.1016/j.agsy.2025.104274

Emma Gourlez , Christine Baratte , Francine de Quelen , Jean-Yves Dourmad , Alessandra Rigo Monteiro , Florence Garcia-Launay , Ludovic Brossard , Fabrice Beline

{"title":"A mass balance model to predict the fate of copper and zinc in pig farming systems to reduce environmental impacts: Application to French context","authors":"Emma Gourlez , Christine Baratte , Francine de Quelen , Jean-Yves Dourmad , Alessandra Rigo Monteiro , Florence Garcia-Launay , Ludovic Brossard , Fabrice Beline","doi":"10.1016/j.agsy.2025.104274","DOIUrl":null,"url":null,"abstract":"<div><h3>CONTEXT</h3><div>Although copper (Cu) and zinc (Zn) are essential for pig health, they also represent an environmental risk. A better understanding of the influence of feeding and manure management practices on Cu and Zn flows is required to optimise the whole pig farming system.</div></div><div><h3>OBJECTIVE</h3><div>For this purpose, a model was built to predict Cu and Zn flows from the feed to the spread products to be able to account for the influence of swine production and manure management.</div></div><div><h3>METHODS</h3><div>The parameters used to model Cu and Zn flows during the treatments were mainly obtained from the literature and, when not available, based on expert knowledge. A sensitivity analysis was performed to identify critical parameters and to select sets of parameters to quantify uncertainty of the results.</div></div><div><h3>RESULTS AND CONCLUSION</h3><div>The use of feed containing only 15 and 80 mg/kg feed of Cu and Zn, respectively, would allow to reduce Cu and Zn contents in stored raw manure of 41 and 36 %, respectively, compared to the use of feed with current EU regulations. However, concentrations of Cu and Zn relative to DM in effluents increase with the application of effluent treatments. Feed is therefore the most effective lever for reducing Cu and Zn concentrations in organic fertilisers from swine systems, and will directly influence manure concentrations before and after treatments.</div></div><div><h3>SIGNIFICANCE</h3><div>This work will allow to better understand and control the flows and concentrations of Cu and Zn in organic fertilisers and to develop strategies that improve manure management and use of pig manure.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"225 ","pages":"Article 104274"},"PeriodicalIF":6.1000,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Systems","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0308521X25000149","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

Abstract

CONTEXT

Although copper (Cu) and zinc (Zn) are essential for pig health, they also represent an environmental risk. A better understanding of the influence of feeding and manure management practices on Cu and Zn flows is required to optimise the whole pig farming system.

OBJECTIVE

For this purpose, a model was built to predict Cu and Zn flows from the feed to the spread products to be able to account for the influence of swine production and manure management.

METHODS

The parameters used to model Cu and Zn flows during the treatments were mainly obtained from the literature and, when not available, based on expert knowledge. A sensitivity analysis was performed to identify critical parameters and to select sets of parameters to quantify uncertainty of the results.

RESULTS AND CONCLUSION

The use of feed containing only 15 and 80 mg/kg feed of Cu and Zn, respectively, would allow to reduce Cu and Zn contents in stored raw manure of 41 and 36 %, respectively, compared to the use of feed with current EU regulations. However, concentrations of Cu and Zn relative to DM in effluents increase with the application of effluent treatments. Feed is therefore the most effective lever for reducing Cu and Zn concentrations in organic fertilisers from swine systems, and will directly influence manure concentrations before and after treatments.

SIGNIFICANCE

This work will allow to better understand and control the flows and concentrations of Cu and Zn in organic fertilisers and to develop strategies that improve manure management and use of pig manure.

Abstract Image

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Agricultural Systems 农林科学-农业综合

CiteScore

13.30

自引率

7.60%

发文量

174

审稿时长

30 days

期刊介绍： Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.