Diagnosis of sulfur availability for corn based on soil analysis

Autores
Carciochi, Walter Daniel; Wingaard, Nicolás; Divito, Guillermo Adrián; Reussi Calvo, Nahuel Ignacio; Cabrera, Miguel; Echeverria, Hernan Eduardo
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Different edaphic properties were evaluated to diagnose soil sulfur (S) availability for corn in 15 field experiments as follows: (a) soil sulfate (SO4 −2-S) content at sowing at 0–20 cm and 0–60 cm depths [Sini(0–20) and Sini(0–60)]; (b) soil SO4 −2-S content at V6 corn stage at 0–20 and 0–60 cm depths [SV6(0–20) and SV6(0–60)]; (c) potentially mineralizable S estimations [mineralizable S determined by short-term aerobic incubation (Smineralized), mineralizable N determined by short-term anaerobic incubation (Nan), soil organic matter (SOM), SOM/clay ratio, and SOM/(clay + silt) ratio]; and (d) a combined index between Sini(0–60) and potentially mineralizable S estimations. Three out of 15 sites presented grain yield response to S fertilization (p < 0.1). The average yield response was 1.06 Mg ha−1 for these three sites. From the evaluated predictors, Sini(0–60), SV6(0–60), and Nan were the ones that better estimated the response to S fertilization, showing a linear-plateau relationship (R 2 = 0.68, 0.70, and 0.62, respectively). Values greater than 40 kg S ha−1, 59 kg S ha−1, and 54 mg N kg−1 for Sini(0–60), SV6(0–60), and Nan, respectively indicated no response to S fertilization. All other evaluated edaphic variables presented no relationship, or just a weak one, with S response. The incorporation of S mineralization indexes to the Sini(0–60) model did not improve its performance. Our results indicate that the evaluation of S mineralization has the potential to be used in S fertilization diagnoses.
EEA Balcarce
Fil: Carciocchi, Walter. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas, Balcarce; Argentina
Fil: Wingaard, Nicolás. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Balcarce; Argentina.
Fil: Divito, Guillermo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas, Balcarce; Argentina
Fil: Reussi Calvo, Nahuel I. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas, Balcarce; Argentina
Fil: Cabrera, Miguel. University of Georgia. Crop and Soil Sciences Department; USA
Fil: Echeverría, .Hernán E. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas, Balcarce; Argentina
Fuente
Biology and Fertility of Soils 52 (7) : 917–926 (2016)
Materia
Diagnóstico
Azufre
Maíz
Análisis del Suelo
Diagnosis
Sulphur
Maize
Soil Analysis
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/3233
Acceder
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oai_identifier_str oai:localhost:20.500.12123/3233
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Diagnosis of sulfur availability for corn based on soil analysisCarciochi, Walter DanielWingaard, NicolásDivito, Guillermo AdriánReussi Calvo, Nahuel IgnacioCabrera, MiguelEcheverria, Hernan EduardoDiagnósticoAzufreMaízAnálisis del SueloDiagnosisSulphurMaizeSoil AnalysisDifferent edaphic properties were evaluated to diagnose soil sulfur (S) availability for corn in 15 field experiments as follows: (a) soil sulfate (SO4 −2-S) content at sowing at 0–20 cm and 0–60 cm depths [Sini(0–20) and Sini(0–60)]; (b) soil SO4 −2-S content at V6 corn stage at 0–20 and 0–60 cm depths [SV6(0–20) and SV6(0–60)]; (c) potentially mineralizable S estimations [mineralizable S determined by short-term aerobic incubation (Smineralized), mineralizable N determined by short-term anaerobic incubation (Nan), soil organic matter (SOM), SOM/clay ratio, and SOM/(clay + silt) ratio]; and (d) a combined index between Sini(0–60) and potentially mineralizable S estimations. Three out of 15 sites presented grain yield response to S fertilization (p < 0.1). The average yield response was 1.06 Mg ha−1 for these three sites. From the evaluated predictors, Sini(0–60), SV6(0–60), and Nan were the ones that better estimated the response to S fertilization, showing a linear-plateau relationship (R 2 = 0.68, 0.70, and 0.62, respectively). Values greater than 40 kg S ha−1, 59 kg S ha−1, and 54 mg N kg−1 for Sini(0–60), SV6(0–60), and Nan, respectively indicated no response to S fertilization. All other evaluated edaphic variables presented no relationship, or just a weak one, with S response. The incorporation of S mineralization indexes to the Sini(0–60) model did not improve its performance. Our results indicate that the evaluation of S mineralization has the potential to be used in S fertilization diagnoses.EEA BalcarceFil: Carciocchi, Walter. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas, Balcarce; ArgentinaFil: Wingaard, Nicolás. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Balcarce; Argentina.Fil: Divito, Guillermo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas, Balcarce; ArgentinaFil: Reussi Calvo, Nahuel I. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas, Balcarce; ArgentinaFil: Cabrera, Miguel. University of Georgia. Crop and Soil Sciences Department; USAFil: Echeverría, .Hernán E. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas, Balcarce; ArgentinaSpringer Berlin Heidelberg2018-08-29T13:44:26Z2018-08-29T13:44:26Z2016-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://link.springer.com/article/10.1007/s00374-016-1130-8http://hdl.handle.net/20.500.12123/32330178-27621432-0789https://doi.org/10.1007/s00374-016-1130-8Biology and Fertility of Soils 52 (7) : 917–926 (2016)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-29T13:44:25Zoai:localhost:20.500.12123/3233instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:25.441INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Diagnosis of sulfur availability for corn based on soil analysis
title Diagnosis of sulfur availability for corn based on soil analysis
spellingShingle Diagnosis of sulfur availability for corn based on soil analysis
Carciochi, Walter Daniel
Diagnóstico
Azufre
Maíz
Análisis del Suelo
Diagnosis
Sulphur
Maize
Soil Analysis
title_short Diagnosis of sulfur availability for corn based on soil analysis
title_full Diagnosis of sulfur availability for corn based on soil analysis
title_fullStr Diagnosis of sulfur availability for corn based on soil analysis
title_full_unstemmed Diagnosis of sulfur availability for corn based on soil analysis
title_sort Diagnosis of sulfur availability for corn based on soil analysis
dc.creator.none.fl_str_mv Carciochi, Walter Daniel
Wingaard, Nicolás
Divito, Guillermo Adrián
Reussi Calvo, Nahuel Ignacio
Cabrera, Miguel
Echeverria, Hernan Eduardo
author Carciochi, Walter Daniel
author_facet Carciochi, Walter Daniel
Wingaard, Nicolás
Divito, Guillermo Adrián
Reussi Calvo, Nahuel Ignacio
Cabrera, Miguel
Echeverria, Hernan Eduardo
author_role author
author2 Wingaard, Nicolás
Divito, Guillermo Adrián
Reussi Calvo, Nahuel Ignacio
Cabrera, Miguel
Echeverria, Hernan Eduardo
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Diagnóstico
Azufre
Maíz
Análisis del Suelo
Diagnosis
Sulphur
Maize
Soil Analysis
topic Diagnóstico
Azufre
Maíz
Análisis del Suelo
Diagnosis
Sulphur
Maize
Soil Analysis
dc.description.none.fl_txt_mv Different edaphic properties were evaluated to diagnose soil sulfur (S) availability for corn in 15 field experiments as follows: (a) soil sulfate (SO4 −2-S) content at sowing at 0–20 cm and 0–60 cm depths [Sini(0–20) and Sini(0–60)]; (b) soil SO4 −2-S content at V6 corn stage at 0–20 and 0–60 cm depths [SV6(0–20) and SV6(0–60)]; (c) potentially mineralizable S estimations [mineralizable S determined by short-term aerobic incubation (Smineralized), mineralizable N determined by short-term anaerobic incubation (Nan), soil organic matter (SOM), SOM/clay ratio, and SOM/(clay + silt) ratio]; and (d) a combined index between Sini(0–60) and potentially mineralizable S estimations. Three out of 15 sites presented grain yield response to S fertilization (p < 0.1). The average yield response was 1.06 Mg ha−1 for these three sites. From the evaluated predictors, Sini(0–60), SV6(0–60), and Nan were the ones that better estimated the response to S fertilization, showing a linear-plateau relationship (R 2 = 0.68, 0.70, and 0.62, respectively). Values greater than 40 kg S ha−1, 59 kg S ha−1, and 54 mg N kg−1 for Sini(0–60), SV6(0–60), and Nan, respectively indicated no response to S fertilization. All other evaluated edaphic variables presented no relationship, or just a weak one, with S response. The incorporation of S mineralization indexes to the Sini(0–60) model did not improve its performance. Our results indicate that the evaluation of S mineralization has the potential to be used in S fertilization diagnoses.
EEA Balcarce
Fil: Carciocchi, Walter. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas, Balcarce; Argentina
Fil: Wingaard, Nicolás. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Balcarce; Argentina.
Fil: Divito, Guillermo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas, Balcarce; Argentina
Fil: Reussi Calvo, Nahuel I. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas, Balcarce; Argentina
Fil: Cabrera, Miguel. University of Georgia. Crop and Soil Sciences Department; USA
Fil: Echeverría, .Hernán E. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas, Balcarce; Argentina
description Different edaphic properties were evaluated to diagnose soil sulfur (S) availability for corn in 15 field experiments as follows: (a) soil sulfate (SO4 −2-S) content at sowing at 0–20 cm and 0–60 cm depths [Sini(0–20) and Sini(0–60)]; (b) soil SO4 −2-S content at V6 corn stage at 0–20 and 0–60 cm depths [SV6(0–20) and SV6(0–60)]; (c) potentially mineralizable S estimations [mineralizable S determined by short-term aerobic incubation (Smineralized), mineralizable N determined by short-term anaerobic incubation (Nan), soil organic matter (SOM), SOM/clay ratio, and SOM/(clay + silt) ratio]; and (d) a combined index between Sini(0–60) and potentially mineralizable S estimations. Three out of 15 sites presented grain yield response to S fertilization (p < 0.1). The average yield response was 1.06 Mg ha−1 for these three sites. From the evaluated predictors, Sini(0–60), SV6(0–60), and Nan were the ones that better estimated the response to S fertilization, showing a linear-plateau relationship (R 2 = 0.68, 0.70, and 0.62, respectively). Values greater than 40 kg S ha−1, 59 kg S ha−1, and 54 mg N kg−1 for Sini(0–60), SV6(0–60), and Nan, respectively indicated no response to S fertilization. All other evaluated edaphic variables presented no relationship, or just a weak one, with S response. The incorporation of S mineralization indexes to the Sini(0–60) model did not improve its performance. Our results indicate that the evaluation of S mineralization has the potential to be used in S fertilization diagnoses.
publishDate 2016
dc.date.none.fl_str_mv 2016-10
2018-08-29T13:44:26Z
2018-08-29T13:44:26Z
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 https://link.springer.com/article/10.1007/s00374-016-1130-8
http://hdl.handle.net/20.500.12123/3233
0178-2762
1432-0789
https://doi.org/10.1007/s00374-016-1130-8
url https://link.springer.com/article/10.1007/s00374-016-1130-8
http://hdl.handle.net/20.500.12123/3233
https://doi.org/10.1007/s00374-016-1130-8
identifier_str_mv 0178-2762
1432-0789
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer Berlin Heidelberg
publisher.none.fl_str_mv Springer Berlin Heidelberg
dc.source.none.fl_str_mv Biology and Fertility of Soils 52 (7) : 917–926 (2016)
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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