Diagnosis of sulfur availability for corn based on soil analysis

Autores
Carciochi, Walter Daniel; Wyngaard, Nicolás; Divito, Guillermo Adrián; Reussi Calvo, Nahuel Ignacio; Cabrera, Miguel L.; 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 (R2 = 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.
Fil: Carciochi, Walter Daniel. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Wyngaard, Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Divito, Guillermo Adrián. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Reussi Calvo, Nahuel Ignacio. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Cabrera, Miguel L.. University of Georgia; Estados Unidos
Fil: Echeverria, Hernan Eduardo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina
Materia
INCUBATIONS
MINERALIZABLE S ESTIMATIONS
MOMENT AND DEPTH OF SAMPLING
SOIL SULFATE CONTENT
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/179805
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/179805
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Diagnosis of sulfur availability for corn based on soil analysisCarciochi, Walter DanielWyngaard, NicolásDivito, Guillermo AdriánReussi Calvo, Nahuel IgnacioCabrera, Miguel L.Echeverria, Hernan EduardoINCUBATIONSMINERALIZABLE S ESTIMATIONSMOMENT AND DEPTH OF SAMPLINGSOIL SULFATE CONTENThttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Different 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 (R2 = 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.Fil: Carciochi, Walter Daniel. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; ArgentinaFil: Wyngaard, Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; ArgentinaFil: Divito, Guillermo Adrián. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; ArgentinaFil: Reussi Calvo, Nahuel Ignacio. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; ArgentinaFil: Cabrera, Miguel L.. University of Georgia; Estados UnidosFil: Echeverria, Hernan Eduardo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; ArgentinaSpringer2016-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/179805Carciochi, Walter Daniel; Wyngaard, Nicolás; Divito, Guillermo Adrián; Reussi Calvo, Nahuel Ignacio; Cabrera, Miguel L.; et al.; Diagnosis of sulfur availability for corn based on soil analysis; Springer; Biology And Fertility of Soils; 52; 7; 7-2016; 917-9260178-2762CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007/s00374-016-1130-8?view=classicinfo:eu-repo/semantics/altIdentifier/doi/10.1007/s00374-016-1130-8info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:04:41Zoai:ri.conicet.gov.ar:11336/179805instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:04:41.736CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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
INCUBATIONS
MINERALIZABLE S ESTIMATIONS
MOMENT AND DEPTH OF SAMPLING
SOIL SULFATE CONTENT
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
Wyngaard, Nicolás
Divito, Guillermo Adrián
Reussi Calvo, Nahuel Ignacio
Cabrera, Miguel L.
Echeverria, Hernan Eduardo
author Carciochi, Walter Daniel
author_facet Carciochi, Walter Daniel
Wyngaard, Nicolás
Divito, Guillermo Adrián
Reussi Calvo, Nahuel Ignacio
Cabrera, Miguel L.
Echeverria, Hernan Eduardo
author_role author
author2 Wyngaard, Nicolás
Divito, Guillermo Adrián
Reussi Calvo, Nahuel Ignacio
Cabrera, Miguel L.
Echeverria, Hernan Eduardo
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv INCUBATIONS
MINERALIZABLE S ESTIMATIONS
MOMENT AND DEPTH OF SAMPLING
SOIL SULFATE CONTENT
topic INCUBATIONS
MINERALIZABLE S ESTIMATIONS
MOMENT AND DEPTH OF SAMPLING
SOIL SULFATE CONTENT
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
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 (R2 = 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.
Fil: Carciochi, Walter Daniel. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Wyngaard, Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Divito, Guillermo Adrián. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Reussi Calvo, Nahuel Ignacio. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Cabrera, Miguel L.. University of Georgia; Estados Unidos
Fil: Echeverria, Hernan Eduardo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria 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 (R2 = 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 2016-07
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/11336/179805
Carciochi, Walter Daniel; Wyngaard, Nicolás; Divito, Guillermo Adrián; Reussi Calvo, Nahuel Ignacio; Cabrera, Miguel L.; et al.; Diagnosis of sulfur availability for corn based on soil analysis; Springer; Biology And Fertility of Soils; 52; 7; 7-2016; 917-926
0178-2762
CONICET Digital
CONICET
url http://hdl.handle.net/11336/179805
identifier_str_mv Carciochi, Walter Daniel; Wyngaard, Nicolás; Divito, Guillermo Adrián; Reussi Calvo, Nahuel Ignacio; Cabrera, Miguel L.; et al.; Diagnosis of sulfur availability for corn based on soil analysis; Springer; Biology And Fertility of Soils; 52; 7; 7-2016; 917-926
0178-2762
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007/s00374-016-1130-8?view=classic
info:eu-repo/semantics/altIdentifier/doi/10.1007/s00374-016-1130-8
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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