Bacterial Indicator of Agricultural Management for Soil under No-Till Crop Production
- Autores
- Figuerola, E.L.M.; Guerrero, L.D.; Rosa, S.M.; Simonetti, L.; Duval, M.E.; Galantini, J.A.; Bedano, J.C.; Wall, L.G.; Erijman, L.
- Año de publicación
- 2012
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The rise in the world demand for food poses a challenge to our ability to sustain soil fertility and sustainability. The increasing use of no-till agriculture, adopted in many areas of the world as an alternative to conventional farming, may contribute to reduce the erosion of soils and the increase in the soil carbon pool. However, the advantages of no-till agriculture are jeopardized when its use is linked to the expansion of crop monoculture. The aim of this study was to survey bacterial communities to find indicators of soil quality related to contrasting agriculture management in soils under no-till farming. Four sites in production agriculture, with different soil properties, situated across a west-east transect in the most productive region in the Argentinean pampas, were taken as the basis for replication. Working definitions of Good no-till Agricultural Practices (GAP) and Poor no-till Agricultural Practices (PAP) were adopted for two distinct scenarios in terms of crop rotation, fertilization, agrochemicals use and pest control. Non-cultivated soils nearby the agricultural sites were taken as additional control treatments. Tag-encoded pyrosequencing was used to deeply sample the 16S rRNA gene from bacteria residing in soils corresponding to the three treatments at the four locations. Although bacterial communities as a whole appeared to be structured chiefly by a marked biogeographic provincialism, the distribution of a few taxa was shaped as well by environmental conditions related to agricultural management practices. A statistically supported approach was used to define candidates for management-indicator organisms, subsequently validated using quantitative PCR. We suggest that the ratio between the normalized abundance of a selected group of bacteria within the GP1 group of the phylum Acidobacteria and the genus Rubellimicrobium of the Alphaproteobacteria may serve as a potential management-indicator to discriminate between sustainable vs. non-sustainable agricultural practices in the Pampa region. © 2012 Figuerola et al.
Fil:Figuerola, E.L.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Guerrero, L.D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Rosa, S.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Erijman, L. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. - Fuente
- PLoS ONE 2012;7(11)
- Materia
-
carbon
nitrogen
Acidobacteria
agricultural procedures
article
bacterium
climate
community structure
controlled study
crop rotation
fertilization
geographic distribution
microbial community
no till crop production
nonhuman
pest control
pH
physical chemistry
pyrosequencing
quantitative analysis
real time polymerase chain reaction
Rubellimicrobium
seasonal variation
sequence analysis
soil analysis
soil microflora
soil moisture
soil quality
soil texture
validation process
Agriculture
Argentina
Bacteria
Crops, Agricultural
Geography
Phylogeny
Soil
Soil Microbiology
Acidobacteria
Alphaproteobacteria
Bacteria (microorganisms) - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by/2.5/ar
- Repositorio
- Institución
- Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
- OAI Identificador
- paperaa:paper_19326203_v7_n11_p_Figuerola
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Bacterial Indicator of Agricultural Management for Soil under No-Till Crop ProductionFiguerola, E.L.M.Guerrero, L.D.Rosa, S.M.Simonetti, L.Duval, M.E.Galantini, J.A.Bedano, J.C.Wall, L.G.Erijman, L.carbonnitrogenAcidobacteriaagricultural proceduresarticlebacteriumclimatecommunity structurecontrolled studycrop rotationfertilizationgeographic distributionmicrobial communityno till crop productionnonhumanpest controlpHphysical chemistrypyrosequencingquantitative analysisreal time polymerase chain reactionRubellimicrobiumseasonal variationsequence analysissoil analysissoil microflorasoil moisturesoil qualitysoil texturevalidation processAgricultureArgentinaBacteriaCrops, AgriculturalGeographyPhylogenySoilSoil MicrobiologyAcidobacteriaAlphaproteobacteriaBacteria (microorganisms)The rise in the world demand for food poses a challenge to our ability to sustain soil fertility and sustainability. The increasing use of no-till agriculture, adopted in many areas of the world as an alternative to conventional farming, may contribute to reduce the erosion of soils and the increase in the soil carbon pool. However, the advantages of no-till agriculture are jeopardized when its use is linked to the expansion of crop monoculture. The aim of this study was to survey bacterial communities to find indicators of soil quality related to contrasting agriculture management in soils under no-till farming. Four sites in production agriculture, with different soil properties, situated across a west-east transect in the most productive region in the Argentinean pampas, were taken as the basis for replication. Working definitions of Good no-till Agricultural Practices (GAP) and Poor no-till Agricultural Practices (PAP) were adopted for two distinct scenarios in terms of crop rotation, fertilization, agrochemicals use and pest control. Non-cultivated soils nearby the agricultural sites were taken as additional control treatments. Tag-encoded pyrosequencing was used to deeply sample the 16S rRNA gene from bacteria residing in soils corresponding to the three treatments at the four locations. Although bacterial communities as a whole appeared to be structured chiefly by a marked biogeographic provincialism, the distribution of a few taxa was shaped as well by environmental conditions related to agricultural management practices. A statistically supported approach was used to define candidates for management-indicator organisms, subsequently validated using quantitative PCR. We suggest that the ratio between the normalized abundance of a selected group of bacteria within the GP1 group of the phylum Acidobacteria and the genus Rubellimicrobium of the Alphaproteobacteria may serve as a potential management-indicator to discriminate between sustainable vs. non-sustainable agricultural practices in the Pampa region. © 2012 Figuerola et al.Fil:Figuerola, E.L.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:Guerrero, L.D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:Rosa, S.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:Erijman, L. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.2012info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12110/paper_19326203_v7_n11_p_FiguerolaPLoS ONE 2012;7(11)reponame:Biblioteca Digital (UBA-FCEN)instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesinstacron:UBA-FCENenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/ar2025-09-29T13:42:54Zpaperaa:paper_19326203_v7_n11_p_FiguerolaInstitucionalhttps://digital.bl.fcen.uba.ar/Universidad públicaNo correspondehttps://digital.bl.fcen.uba.ar/cgi-bin/oaiserver.cgiana@bl.fcen.uba.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:18962025-09-29 13:42:56.16Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesfalse |
dc.title.none.fl_str_mv |
Bacterial Indicator of Agricultural Management for Soil under No-Till Crop Production |
title |
Bacterial Indicator of Agricultural Management for Soil under No-Till Crop Production |
spellingShingle |
Bacterial Indicator of Agricultural Management for Soil under No-Till Crop Production Figuerola, E.L.M. carbon nitrogen Acidobacteria agricultural procedures article bacterium climate community structure controlled study crop rotation fertilization geographic distribution microbial community no till crop production nonhuman pest control pH physical chemistry pyrosequencing quantitative analysis real time polymerase chain reaction Rubellimicrobium seasonal variation sequence analysis soil analysis soil microflora soil moisture soil quality soil texture validation process Agriculture Argentina Bacteria Crops, Agricultural Geography Phylogeny Soil Soil Microbiology Acidobacteria Alphaproteobacteria Bacteria (microorganisms) |
title_short |
Bacterial Indicator of Agricultural Management for Soil under No-Till Crop Production |
title_full |
Bacterial Indicator of Agricultural Management for Soil under No-Till Crop Production |
title_fullStr |
Bacterial Indicator of Agricultural Management for Soil under No-Till Crop Production |
title_full_unstemmed |
Bacterial Indicator of Agricultural Management for Soil under No-Till Crop Production |
title_sort |
Bacterial Indicator of Agricultural Management for Soil under No-Till Crop Production |
dc.creator.none.fl_str_mv |
Figuerola, E.L.M. Guerrero, L.D. Rosa, S.M. Simonetti, L. Duval, M.E. Galantini, J.A. Bedano, J.C. Wall, L.G. Erijman, L. |
author |
Figuerola, E.L.M. |
author_facet |
Figuerola, E.L.M. Guerrero, L.D. Rosa, S.M. Simonetti, L. Duval, M.E. Galantini, J.A. Bedano, J.C. Wall, L.G. Erijman, L. |
author_role |
author |
author2 |
Guerrero, L.D. Rosa, S.M. Simonetti, L. Duval, M.E. Galantini, J.A. Bedano, J.C. Wall, L.G. Erijman, L. |
author2_role |
author author author author author author author author |
dc.subject.none.fl_str_mv |
carbon nitrogen Acidobacteria agricultural procedures article bacterium climate community structure controlled study crop rotation fertilization geographic distribution microbial community no till crop production nonhuman pest control pH physical chemistry pyrosequencing quantitative analysis real time polymerase chain reaction Rubellimicrobium seasonal variation sequence analysis soil analysis soil microflora soil moisture soil quality soil texture validation process Agriculture Argentina Bacteria Crops, Agricultural Geography Phylogeny Soil Soil Microbiology Acidobacteria Alphaproteobacteria Bacteria (microorganisms) |
topic |
carbon nitrogen Acidobacteria agricultural procedures article bacterium climate community structure controlled study crop rotation fertilization geographic distribution microbial community no till crop production nonhuman pest control pH physical chemistry pyrosequencing quantitative analysis real time polymerase chain reaction Rubellimicrobium seasonal variation sequence analysis soil analysis soil microflora soil moisture soil quality soil texture validation process Agriculture Argentina Bacteria Crops, Agricultural Geography Phylogeny Soil Soil Microbiology Acidobacteria Alphaproteobacteria Bacteria (microorganisms) |
dc.description.none.fl_txt_mv |
The rise in the world demand for food poses a challenge to our ability to sustain soil fertility and sustainability. The increasing use of no-till agriculture, adopted in many areas of the world as an alternative to conventional farming, may contribute to reduce the erosion of soils and the increase in the soil carbon pool. However, the advantages of no-till agriculture are jeopardized when its use is linked to the expansion of crop monoculture. The aim of this study was to survey bacterial communities to find indicators of soil quality related to contrasting agriculture management in soils under no-till farming. Four sites in production agriculture, with different soil properties, situated across a west-east transect in the most productive region in the Argentinean pampas, were taken as the basis for replication. Working definitions of Good no-till Agricultural Practices (GAP) and Poor no-till Agricultural Practices (PAP) were adopted for two distinct scenarios in terms of crop rotation, fertilization, agrochemicals use and pest control. Non-cultivated soils nearby the agricultural sites were taken as additional control treatments. Tag-encoded pyrosequencing was used to deeply sample the 16S rRNA gene from bacteria residing in soils corresponding to the three treatments at the four locations. Although bacterial communities as a whole appeared to be structured chiefly by a marked biogeographic provincialism, the distribution of a few taxa was shaped as well by environmental conditions related to agricultural management practices. A statistically supported approach was used to define candidates for management-indicator organisms, subsequently validated using quantitative PCR. We suggest that the ratio between the normalized abundance of a selected group of bacteria within the GP1 group of the phylum Acidobacteria and the genus Rubellimicrobium of the Alphaproteobacteria may serve as a potential management-indicator to discriminate between sustainable vs. non-sustainable agricultural practices in the Pampa region. © 2012 Figuerola et al. Fil:Figuerola, E.L.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Guerrero, L.D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Rosa, S.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Erijman, L. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. |
description |
The rise in the world demand for food poses a challenge to our ability to sustain soil fertility and sustainability. The increasing use of no-till agriculture, adopted in many areas of the world as an alternative to conventional farming, may contribute to reduce the erosion of soils and the increase in the soil carbon pool. However, the advantages of no-till agriculture are jeopardized when its use is linked to the expansion of crop monoculture. The aim of this study was to survey bacterial communities to find indicators of soil quality related to contrasting agriculture management in soils under no-till farming. Four sites in production agriculture, with different soil properties, situated across a west-east transect in the most productive region in the Argentinean pampas, were taken as the basis for replication. Working definitions of Good no-till Agricultural Practices (GAP) and Poor no-till Agricultural Practices (PAP) were adopted for two distinct scenarios in terms of crop rotation, fertilization, agrochemicals use and pest control. Non-cultivated soils nearby the agricultural sites were taken as additional control treatments. Tag-encoded pyrosequencing was used to deeply sample the 16S rRNA gene from bacteria residing in soils corresponding to the three treatments at the four locations. Although bacterial communities as a whole appeared to be structured chiefly by a marked biogeographic provincialism, the distribution of a few taxa was shaped as well by environmental conditions related to agricultural management practices. A statistically supported approach was used to define candidates for management-indicator organisms, subsequently validated using quantitative PCR. We suggest that the ratio between the normalized abundance of a selected group of bacteria within the GP1 group of the phylum Acidobacteria and the genus Rubellimicrobium of the Alphaproteobacteria may serve as a potential management-indicator to discriminate between sustainable vs. non-sustainable agricultural practices in the Pampa region. © 2012 Figuerola et al. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12110/paper_19326203_v7_n11_p_Figuerola |
url |
http://hdl.handle.net/20.500.12110/paper_19326203_v7_n11_p_Figuerola |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/2.5/ar |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
PLoS ONE 2012;7(11) reponame:Biblioteca Digital (UBA-FCEN) instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales instacron:UBA-FCEN |
reponame_str |
Biblioteca Digital (UBA-FCEN) |
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Biblioteca Digital (UBA-FCEN) |
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Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales |
instacron_str |
UBA-FCEN |
institution |
UBA-FCEN |
repository.name.fl_str_mv |
Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales |
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ana@bl.fcen.uba.ar |
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