Assessing the agronomic and environmental effects of the application of cattle manure compost on soil by multivariate methods

Multivariate analysis was used for interpreting data from a pot experiment using samples of three Spanish soils. Samples of soil fertilized with compost were compared with untreated control samples. We also compared the effect of adding the compost to soil with a controlled moisture content of 50% o...

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Detalles Bibliográficos
Autores: Gil Matellanes, María Victoria, Calvo, Luis Fernando, Blanco, Daniel, Sánchez, Marta Elena
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2008
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/342938
Acceso en línea:http://hdl.handle.net/10261/342938
https://api.elsevier.com/content/abstract/scopus_id/43049145500
Access Level:acceso abierto
Palabra clave:Principal component analysis
Bovine manure
Compost
Hierarchical cluster analysis
Multivariate analysis
http://metadata.un.org/sdg/13
Take urgent action to combat climate change and its impacts
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spelling Assessing the agronomic and environmental effects of the application of cattle manure compost on soil by multivariate methodsGil Matellanes, María VictoriaCalvo, Luis FernandoBlanco, DanielSánchez, Marta ElenaPrincipal component analysisBovine manureCompostHierarchical cluster analysisMultivariate analysishttp://metadata.un.org/sdg/13Take urgent action to combat climate change and its impactsMultivariate analysis was used for interpreting data from a pot experiment using samples of three Spanish soils. Samples of soil fertilized with compost were compared with untreated control samples. We also compared the effect of adding the compost to soil with a controlled moisture content of 50% of its water holding capacity (WHC), and to a near-saturated soil (95% WHC). Hierarchical cluster analysis (HCA) and principal component analysis (PCA) were used; they perfectly differentiated sample groups both as a function of the treatment applied and by sampling date. The compost samples were characterized by higher pH, electrical conductivity (EC), organic matter (OM) content and cation exchange capacity (CEC), together with nutrient concentrations than the control pots. The pots with a soil-compost mixture at 95% WHC presented lower values of EC, CEC, inorganic N, K, Na and B than the mixtures at 50% WHC. Multivariate methods may therefore be useful for the analysis and interpretation of a large number of data in soil research.Peer reviewedElsevierGil Matellanes, María Victoria [0000-0002-2258-3011]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242008info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/342938https://api.elsevier.com/content/abstract/scopus_id/43049145500reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésBioresource technologyhttps://doi.org/10.1016/j.biortech.2007.10.014Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3429382026-05-22T06:33:51Z
dc.title.none.fl_str_mv Assessing the agronomic and environmental effects of the application of cattle manure compost on soil by multivariate methods
title Assessing the agronomic and environmental effects of the application of cattle manure compost on soil by multivariate methods
spellingShingle Assessing the agronomic and environmental effects of the application of cattle manure compost on soil by multivariate methods
Gil Matellanes, María Victoria
Principal component analysis
Bovine manure
Compost
Hierarchical cluster analysis
Multivariate analysis
http://metadata.un.org/sdg/13
Take urgent action to combat climate change and its impacts
title_short Assessing the agronomic and environmental effects of the application of cattle manure compost on soil by multivariate methods
title_full Assessing the agronomic and environmental effects of the application of cattle manure compost on soil by multivariate methods
title_fullStr Assessing the agronomic and environmental effects of the application of cattle manure compost on soil by multivariate methods
title_full_unstemmed Assessing the agronomic and environmental effects of the application of cattle manure compost on soil by multivariate methods
title_sort Assessing the agronomic and environmental effects of the application of cattle manure compost on soil by multivariate methods
dc.creator.none.fl_str_mv Gil Matellanes, María Victoria
Calvo, Luis Fernando
Blanco, Daniel
Sánchez, Marta Elena
author Gil Matellanes, María Victoria
author_facet Gil Matellanes, María Victoria
Calvo, Luis Fernando
Blanco, Daniel
Sánchez, Marta Elena
author_role author
author2 Calvo, Luis Fernando
Blanco, Daniel
Sánchez, Marta Elena
author2_role author
author
author
dc.contributor.none.fl_str_mv Gil Matellanes, María Victoria [0000-0002-2258-3011]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Principal component analysis
Bovine manure
Compost
Hierarchical cluster analysis
Multivariate analysis
http://metadata.un.org/sdg/13
Take urgent action to combat climate change and its impacts
topic Principal component analysis
Bovine manure
Compost
Hierarchical cluster analysis
Multivariate analysis
http://metadata.un.org/sdg/13
Take urgent action to combat climate change and its impacts
description Multivariate analysis was used for interpreting data from a pot experiment using samples of three Spanish soils. Samples of soil fertilized with compost were compared with untreated control samples. We also compared the effect of adding the compost to soil with a controlled moisture content of 50% of its water holding capacity (WHC), and to a near-saturated soil (95% WHC). Hierarchical cluster analysis (HCA) and principal component analysis (PCA) were used; they perfectly differentiated sample groups both as a function of the treatment applied and by sampling date. The compost samples were characterized by higher pH, electrical conductivity (EC), organic matter (OM) content and cation exchange capacity (CEC), together with nutrient concentrations than the control pots. The pots with a soil-compost mixture at 95% WHC presented lower values of EC, CEC, inorganic N, K, Na and B than the mixtures at 50% WHC. Multivariate methods may therefore be useful for the analysis and interpretation of a large number of data in soil research.
publishDate 2008
dc.date.none.fl_str_mv 2008
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/342938
https://api.elsevier.com/content/abstract/scopus_id/43049145500
url http://hdl.handle.net/10261/342938
https://api.elsevier.com/content/abstract/scopus_id/43049145500
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Bioresource technology
https://doi.org/10.1016/j.biortech.2007.10.014
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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