Urine patch area coverage of an intensively stocked dairy pasture

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dc.contributor.authorMoir, James L.
dc.contributor.authorCameron, Keith C.
dc.contributor.authorDi, Hong J.
dc.contributor.authorFertsak, Ulrike
dc.date.accessioned2015-11-20T00:23:26Z
dc.date.issued2010-08
dc.description.abstractThe objective of this study was to develop a new method to quantify seasonal and annual urine patch area coverage under an intensive dairy farming system.en
dc.description.sponsorshipThe authors wish to thank Dairy NZ, MAF (SFF) and Ravensdown Fertiliser Co-operative Ltd for funding the research work and Carole Barlow, Hamish Masters and Samuel Dennis for field and technical assistance. We also thank Brad Case, Natural Resources Engineering Group, Lincoln University for advice on GIS data analysis.
dc.identifier.urihttps://hdl.handle.net/10182/6762
dc.language.isoen
dc.publisherLincoln University.
dc.publisher.placeBrisbane, Australiaen
dc.rightsCopyright © The Authors.
dc.source19th World Congress of Soil Science. Soil Solutions for a Changing Worlden
dc.subjectarea coverageen
dc.subjectdairyen
dc.subjectglobal positioning system (GPS)en
dc.subjectgrazed pastureen
dc.subjecturineen
dc.subjectnitrogenen
dc.subject.anzsrcANZSRC::0701 Agriculture, Land and Farm Managementen
dc.subject.anzsrcANZSRC::0703 Crop and Pasture Productionen
dc.titleUrine patch area coverage of an intensively stocked dairy pastureen
dc.typeConference Contribution - unpublished
lu.contributor.unitLincoln University
lu.contributor.unitFaculty of Agriculture and Life Sciences
lu.contributor.unitDepartment of Soil and Physical Sciences
lu.contributor.unitFaculty of Environment, Society and Design
lu.identifier.orcid0000-0001-6677-3901
lu.identifier.orcid0000-0002-7631-1636
lu.identifier.orcid0000-0002-6966-0299
lu.subtypeConference Posteren
pubs.finish-date2010-08-06en
pubs.notesThe authors wish to thank Dairy NZ, MAF (SFF) and Ravensdown Fertiliser Co-operative Ltd for funding the research work and Carole Barlow, Hamish Masters and Samuel Dennis for field and technical assistance. We also thank Brad Case, Natural Resources Engineering Group, Lincoln University for advice on GIS data analysis.en
pubs.publication-statusPublisheden
pubs.publisher-urlhttp://hdl.handle.net/10182/6762en
pubs.start-date2010-08-01en
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