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dc.contributor.authorHoekstra, N.J.
dc.contributor.authorSchulte, R.P.O.
dc.contributor.authorForrestal, P.J.
dc.contributor.authorHennessy, Deirdre
dc.contributor.authorKrol, Dominika
dc.contributor.authorLanigan, Gary J.
dc.contributor.authorMüller, C.
dc.contributor.authorShalloo, Laurence
dc.contributor.authorWall, David P.
dc.contributor.authorRichards, Karl G.
dc.date.accessioned2021-12-16T15:39:53Z
dc.date.available2021-12-16T15:39:53Z
dc.date.issued2020-03-10
dc.identifier.citationN.J. Hoekstra, R.P.O. Schulte, P.J. Forrestal, D. Hennessy, D.J. Krol, G.J. Lanigan, C. Müller, L. Shalloo, D.P. Wall, K.G. Richards, Scenarios to limit environmental nitrogen losses from dairy expansion, Science of The Total Environment, Volume 707, https://doi.org/10.1016/j.scitotenv.2019.134606en_US
dc.identifier.issn00489697
dc.identifier.urihttp://hdl.handle.net/11019/2715
dc.descriptionpeer-revieweden_US
dc.description.abstractIncreased global demand for dairy produce and the abolition of EU milk quotas have resulted in expansion in dairy production across Europe and particularly in Ireland. Simultaneously, there is increasing pressure to reduce the impact of nitrogen (N) losses to air and groundwater on the environment. In order to develop grassland management strategies for grazing systems that meet environmental targets and are economically sustainable, it is imperative that individual mitigation measures for N efficiency are assessed at farm system level. To this end, we developed an excel-based N flow model simulating an Irish grass-based dairy farm, to evaluate the effect of farm management on N efficiency, N losses, production and economic performance. The model was applied to assess the effect of different strategies to achieve the increased production goals on N utilization, N loss pathways and economic performance at farm level. The three strategies investigated included increased milk production through increased grass production, through increased concentrate feeding and by applying a high profit grass-based system. Additionally, three mitigation measures; low ammonia emission slurry application, the use of urease and nitrification inhibitors and the combination of both were applied to the three strategies. Absolute N emissions were higher for all intensification scenarios (up to 124 kg N ha−1) compared to the baseline (80 kg N ha−1) due to increased animal numbers and higher feed and/or fertiliser inputs. However, some intensification strategies showed the potential to reduce the emissions per ton milk produced for some of the N-loss pathways. The model showed that the assessed mitigation measures can play an important role in ameliorating the increased emissions associated with intensification, but may not be adequate to entirely offset absolute increases. Further improvements in farm N use efficiency and alternatives to mineral fertilisers will be required to decouple production from reactive N emissions.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofScience of The Total Environment
dc.relation.ispartofseriesScience of The Total Environment;707
dc.rights© 2019 Elsevier B.V. All rights reserved.
dc.rightsAttribution-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/3.0/us/*
dc.subjectAmmoniaen_US
dc.subjectNitrateen_US
dc.subjectNitrous oxideen_US
dc.subjectN footprinten_US
dc.subjectN flow modelen_US
dc.titleScenarios to limit environmental nitrogen losses from dairy expansionen_US
dc.typeArticleen_US
dc.typeOtheren_US
dc.identifier.doihttps://doi.org/10.1016/j.scitotenv.2019.134606
dc.relation.volume707
dc.contributor.sponsorDepartment of Agriculture, Food and the Marineen_US
dc.contributor.sponsorNew Zealand Governmenten_US
dc.contributor.sponsorGrantNumberRSF10-/RD/SC/716en_US
dc.contributor.sponsorGrantNumberRSF11S138en_US
dc.contributor.sponsorGrantNumberMPI/AgResearch Contract No. 15811en_US
dc.source.volume707
dc.source.beginpage134606
refterms.dateFOA2021-03-10T00:00:00Z


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© 2019 Elsevier B.V. All rights reserved.
Except where otherwise noted, this item's license is described as © 2019 Elsevier B.V. All rights reserved.