Looking for biological indicators of soil using hierarchical clustering

Autores
Rossi, Maria Sol; Michelena, Roberto; Casas, Roberto Raul
Año de publicación
2010
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Soil microbial activity (SMA) is related to the use and management of soil we hypothesized that a single change in the sequence of crop rotation could be detected through changes in the biological and microbial activity of the soil. We analyzed SMA from and agricultural typic argiudoll soil under no-tillage (NT) with different crop rotation (corn-oat-soybean(COS), corn-soybean (C-S) and undisturbed soil as control (N.C)). We measured dehydrogenase activity, B glucosidade activity, community level physiological profiles, taxonomic microbial grops and the physiologycal broup involved in the carbon cycle (cellulose-and_amylose-decomposing micro-organisms) to detect changes in microbial activity. We also measured carbon from microbial biomass, total organic carbon, soil respiration, sustrate induced respiration, biological quotient and metabolic quotient (QCO2) to detect changes in biological activity. Dependence on the variables analyzed by Bartlett's test allowed us the apply correspondence analysis and principal components analysis (PCA). PCA showed three different soil conditions and a negative correlation between qCO2 and the other variables. Hierarchical clustering analysis using ward algorithm confirmed that qCO2 and BMC showed the three soil conditions. In fact qCO2 and BMC explained the maximum sensitivity against contrasting management situations. Increased enzymatic activities in rotation with the highest crop residues expedite mineralization and mobilization of available nutritient. We observed a quick response of the SMA to a single change in the crop rotation.
Instituto de Suelos
Fil: Rossi, María Sol. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina
Fil: Michelena, Roberto Oscar. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina
Fil: Casas, Roberto Raúl. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina
Fuente
22o. Congreso Argentino de la Ciencia del Suelo. "El suelo pilar de la agroindustria en la pampa Argentina. Rosario, Argentina del 31 de mayo al 04 de junio de 2010.
Materia
Crop Rotation
Enzyme Activity
Soil
Rotación de Cultivos
Actividad Enzimática
Suelo
Metabolic Quotient
Soil Microbial Biomass
Cociente Metabólico
Biomasa Microbiana del Suelo
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/18019
Acceder
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oai_identifier_str oai:localhost:20.500.12123/18019
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spelling Looking for biological indicators of soil using hierarchical clusteringRossi, Maria SolMichelena, RobertoCasas, Roberto RaulCrop RotationEnzyme ActivitySoilRotación de CultivosActividad EnzimáticaSueloMetabolic QuotientSoil Microbial BiomassCociente MetabólicoBiomasa Microbiana del SueloSoil microbial activity (SMA) is related to the use and management of soil we hypothesized that a single change in the sequence of crop rotation could be detected through changes in the biological and microbial activity of the soil. We analyzed SMA from and agricultural typic argiudoll soil under no-tillage (NT) with different crop rotation (corn-oat-soybean(COS), corn-soybean (C-S) and undisturbed soil as control (N.C)). We measured dehydrogenase activity, B glucosidade activity, community level physiological profiles, taxonomic microbial grops and the physiologycal broup involved in the carbon cycle (cellulose-and_amylose-decomposing micro-organisms) to detect changes in microbial activity. We also measured carbon from microbial biomass, total organic carbon, soil respiration, sustrate induced respiration, biological quotient and metabolic quotient (QCO2) to detect changes in biological activity. Dependence on the variables analyzed by Bartlett's test allowed us the apply correspondence analysis and principal components analysis (PCA). PCA showed three different soil conditions and a negative correlation between qCO2 and the other variables. Hierarchical clustering analysis using ward algorithm confirmed that qCO2 and BMC showed the three soil conditions. In fact qCO2 and BMC explained the maximum sensitivity against contrasting management situations. Increased enzymatic activities in rotation with the highest crop residues expedite mineralization and mobilization of available nutritient. We observed a quick response of the SMA to a single change in the crop rotation.Instituto de SuelosFil: Rossi, María Sol. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; ArgentinaFil: Michelena, Roberto Oscar. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; ArgentinaFil: Casas, Roberto Raúl. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; ArgentinaAsociación Argentina de la Ciencia del Suelo2024-06-04T11:31:42Z2024-06-04T11:31:42Z2010-05-31info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://hdl.handle.net/20.500.12123/1801922o. Congreso Argentino de la Ciencia del Suelo. "El suelo pilar de la agroindustria en la pampa Argentina. Rosario, Argentina del 31 de mayo al 04 de junio de 2010.reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaspainfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-10-23T11:18:54Zoai:localhost:20.500.12123/18019instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-23 11:18:54.9INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Looking for biological indicators of soil using hierarchical clustering
title Looking for biological indicators of soil using hierarchical clustering
spellingShingle Looking for biological indicators of soil using hierarchical clustering
Rossi, Maria Sol
Crop Rotation
Enzyme Activity
Soil
Rotación de Cultivos
Actividad Enzimática
Suelo
Metabolic Quotient
Soil Microbial Biomass
Cociente Metabólico
Biomasa Microbiana del Suelo
title_short Looking for biological indicators of soil using hierarchical clustering
title_full Looking for biological indicators of soil using hierarchical clustering
title_fullStr Looking for biological indicators of soil using hierarchical clustering
title_full_unstemmed Looking for biological indicators of soil using hierarchical clustering
title_sort Looking for biological indicators of soil using hierarchical clustering
dc.creator.none.fl_str_mv Rossi, Maria Sol
Michelena, Roberto
Casas, Roberto Raul
author Rossi, Maria Sol
author_facet Rossi, Maria Sol
Michelena, Roberto
Casas, Roberto Raul
author_role author
author2 Michelena, Roberto
Casas, Roberto Raul
author2_role author
author
dc.subject.none.fl_str_mv Crop Rotation
Enzyme Activity
Soil
Rotación de Cultivos
Actividad Enzimática
Suelo
Metabolic Quotient
Soil Microbial Biomass
Cociente Metabólico
Biomasa Microbiana del Suelo
topic Crop Rotation
Enzyme Activity
Soil
Rotación de Cultivos
Actividad Enzimática
Suelo
Metabolic Quotient
Soil Microbial Biomass
Cociente Metabólico
Biomasa Microbiana del Suelo
dc.description.none.fl_txt_mv Soil microbial activity (SMA) is related to the use and management of soil we hypothesized that a single change in the sequence of crop rotation could be detected through changes in the biological and microbial activity of the soil. We analyzed SMA from and agricultural typic argiudoll soil under no-tillage (NT) with different crop rotation (corn-oat-soybean(COS), corn-soybean (C-S) and undisturbed soil as control (N.C)). We measured dehydrogenase activity, B glucosidade activity, community level physiological profiles, taxonomic microbial grops and the physiologycal broup involved in the carbon cycle (cellulose-and_amylose-decomposing micro-organisms) to detect changes in microbial activity. We also measured carbon from microbial biomass, total organic carbon, soil respiration, sustrate induced respiration, biological quotient and metabolic quotient (QCO2) to detect changes in biological activity. Dependence on the variables analyzed by Bartlett's test allowed us the apply correspondence analysis and principal components analysis (PCA). PCA showed three different soil conditions and a negative correlation between qCO2 and the other variables. Hierarchical clustering analysis using ward algorithm confirmed that qCO2 and BMC showed the three soil conditions. In fact qCO2 and BMC explained the maximum sensitivity against contrasting management situations. Increased enzymatic activities in rotation with the highest crop residues expedite mineralization and mobilization of available nutritient. We observed a quick response of the SMA to a single change in the crop rotation.
Instituto de Suelos
Fil: Rossi, María Sol. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina
Fil: Michelena, Roberto Oscar. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina
Fil: Casas, Roberto Raúl. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina
description Soil microbial activity (SMA) is related to the use and management of soil we hypothesized that a single change in the sequence of crop rotation could be detected through changes in the biological and microbial activity of the soil. We analyzed SMA from and agricultural typic argiudoll soil under no-tillage (NT) with different crop rotation (corn-oat-soybean(COS), corn-soybean (C-S) and undisturbed soil as control (N.C)). We measured dehydrogenase activity, B glucosidade activity, community level physiological profiles, taxonomic microbial grops and the physiologycal broup involved in the carbon cycle (cellulose-and_amylose-decomposing micro-organisms) to detect changes in microbial activity. We also measured carbon from microbial biomass, total organic carbon, soil respiration, sustrate induced respiration, biological quotient and metabolic quotient (QCO2) to detect changes in biological activity. Dependence on the variables analyzed by Bartlett's test allowed us the apply correspondence analysis and principal components analysis (PCA). PCA showed three different soil conditions and a negative correlation between qCO2 and the other variables. Hierarchical clustering analysis using ward algorithm confirmed that qCO2 and BMC showed the three soil conditions. In fact qCO2 and BMC explained the maximum sensitivity against contrasting management situations. Increased enzymatic activities in rotation with the highest crop residues expedite mineralization and mobilization of available nutritient. We observed a quick response of the SMA to a single change in the crop rotation.
publishDate 2010
dc.date.none.fl_str_mv 2010-05-31
2024-06-04T11:31:42Z
2024-06-04T11:31:42Z
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/18019
url http://hdl.handle.net/20.500.12123/18019
dc.language.none.fl_str_mv spa
language spa
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Asociación Argentina de la Ciencia del Suelo
publisher.none.fl_str_mv Asociación Argentina de la Ciencia del Suelo
dc.source.none.fl_str_mv 22o. Congreso Argentino de la Ciencia del Suelo. "El suelo pilar de la agroindustria en la pampa Argentina. Rosario, Argentina del 31 de mayo al 04 de junio de 2010.
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.982451

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