A Comparison of indexes to estimate corn S uptake and S mineralization in the field

Autores
Carciochi, Walter Daniel; Wyngaard, Nicolás; Divito, Guillermo Adrián; Cabrera, Miguel L.; Reussi Calvo, Nahuel Ignacio; Echeverria, Hernan Eduardo
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The development of simple predictors of sulfur (S) mineralization and its correlation with field-derived data may help improving corn S availability diagnosis. The objectives of this study were (1) to compare methods to estimate soil S mineralization, (2) to develop a model to predict soil S mineralization from S mineralization indexes and edaphic variables, and (3) to predict fieldgrown corn S uptake (Suptake) and apparent S mineralization (Smin-app) from different S mineralization indexes and edaphicclimatic variables.We evaluated 26 experimental sites where we measured edaphic variables as soil organic C (SOC), organic C in the particulate fraction (C-PF), S mineralization potential (Smin-10wk), S mineralized during a short-term (7 days) aerobic incubation + initial inorganic S (Smin-7d+ Sinorg), and N mineralized during a short-term (7 days) anaerobic incubation (Nan). Additionally, 18 field experiments were carried out to quantify Suptake and Smin-app. TheC-PF, Smin-7d+ Sinorg, Nan, and SOC were variables significantly correlated with Smin-10wk (r = 0.89, 0.89, 0.88, and 0.85, respectively). We developed a simple model to predict Smin-10wk from selected edaphic variables (Smin-10wk= 0.038*Nan + 0.106*SOC + 0.74; Ra 2 = 0.87). The Smin-10wk, C-PF, and Smin-7d+ Sinorg showed a liner-plateau association with Suptake (R2 = 0.73, 0.53, and 0.48, respectively). We modified the method to estimate Smin-app to account for S losses (Smin-app (modified)) and developed a model to predict Smin-app (modified) from CPF (Smin-app (modified)= 4.65*C-PF + 9.86; R2 = 0.62) or Smin-10wk (Smin-app (modified)= 3.0*Smin-10wk+ 7.4; R2 = 0.54). Our results demonstrate that S mineralization indexes can be used to predict corn S availability under field conditions.
EEA Balcarce
Fil: Carciocchi, Walter Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Unidad Integrada. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Wyngaard, Nicolás. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Unidad Integrada. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Divito, Guillermo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Unidad Integrada. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.
Fil: Cabrera, Miguel L. University of Georgia. Crop and Soil Sciences Department; Estados Unidos
Fil: Reussi Calvo, Nahuel Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Unidad Integrada. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Echeverria, Hernan Eduardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Unidad Integrada. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
Fuente
Biology and fertility of soils 54 (3) : 349–362. (April 2018)
Materia
Fertilidad del Suelo
Experimentación en Campo
Azufre
Mineralización
Soil Fertility
Field Experimentation
Sulphur
Mineralization
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/2137
Acceder
id INTADig_1b09c2f8a973c2fe2f941282cb01bb1c
oai_identifier_str oai:localhost:20.500.12123/2137
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling A Comparison of indexes to estimate corn S uptake and S mineralization in the fieldCarciochi, Walter DanielWyngaard, NicolásDivito, Guillermo AdriánCabrera, Miguel L.Reussi Calvo, Nahuel IgnacioEcheverria, Hernan EduardoFertilidad del SueloExperimentación en CampoAzufreMineralizaciónSoil FertilityField ExperimentationSulphurMineralizationThe development of simple predictors of sulfur (S) mineralization and its correlation with field-derived data may help improving corn S availability diagnosis. The objectives of this study were (1) to compare methods to estimate soil S mineralization, (2) to develop a model to predict soil S mineralization from S mineralization indexes and edaphic variables, and (3) to predict fieldgrown corn S uptake (Suptake) and apparent S mineralization (Smin-app) from different S mineralization indexes and edaphicclimatic variables.We evaluated 26 experimental sites where we measured edaphic variables as soil organic C (SOC), organic C in the particulate fraction (C-PF), S mineralization potential (Smin-10wk), S mineralized during a short-term (7 days) aerobic incubation + initial inorganic S (Smin-7d+ Sinorg), and N mineralized during a short-term (7 days) anaerobic incubation (Nan). Additionally, 18 field experiments were carried out to quantify Suptake and Smin-app. TheC-PF, Smin-7d+ Sinorg, Nan, and SOC were variables significantly correlated with Smin-10wk (r = 0.89, 0.89, 0.88, and 0.85, respectively). We developed a simple model to predict Smin-10wk from selected edaphic variables (Smin-10wk= 0.038*Nan + 0.106*SOC + 0.74; Ra 2 = 0.87). The Smin-10wk, C-PF, and Smin-7d+ Sinorg showed a liner-plateau association with Suptake (R2 = 0.73, 0.53, and 0.48, respectively). We modified the method to estimate Smin-app to account for S losses (Smin-app (modified)) and developed a model to predict Smin-app (modified) from CPF (Smin-app (modified)= 4.65*C-PF + 9.86; R2 = 0.62) or Smin-10wk (Smin-app (modified)= 3.0*Smin-10wk+ 7.4; R2 = 0.54). Our results demonstrate that S mineralization indexes can be used to predict corn S availability under field conditions.EEA BalcarceFil: Carciocchi, Walter Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Unidad Integrada. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Wyngaard, Nicolás. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Unidad Integrada. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Divito, Guillermo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Unidad Integrada. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.Fil: Cabrera, Miguel L. University of Georgia. Crop and Soil Sciences Department; Estados UnidosFil: Reussi Calvo, Nahuel Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Unidad Integrada. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Echeverria, Hernan Eduardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Unidad Integrada. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina2018-03-27T15:53:07Z2018-03-27T15:53:07Z2018-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/2137https://link.springer.com/article/10.1007/s00374-018-1266-90178-2762 (Print)1432-0789 (Online)https://doi.org/10.1007/s00374-018-1266-9Biology and fertility of soils 54 (3) : 349–362. (April 2018)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-29T13:44:17Zoai:localhost:20.500.12123/2137instacron: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 13:44:17.282INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv A Comparison of indexes to estimate corn S uptake and S mineralization in the field
title A Comparison of indexes to estimate corn S uptake and S mineralization in the field
spellingShingle A Comparison of indexes to estimate corn S uptake and S mineralization in the field
Carciochi, Walter Daniel
Fertilidad del Suelo
Experimentación en Campo
Azufre
Mineralización
Soil Fertility
Field Experimentation
Sulphur
Mineralization
title_short A Comparison of indexes to estimate corn S uptake and S mineralization in the field
title_full A Comparison of indexes to estimate corn S uptake and S mineralization in the field
title_fullStr A Comparison of indexes to estimate corn S uptake and S mineralization in the field
title_full_unstemmed A Comparison of indexes to estimate corn S uptake and S mineralization in the field
title_sort A Comparison of indexes to estimate corn S uptake and S mineralization in the field
dc.creator.none.fl_str_mv Carciochi, Walter Daniel
Wyngaard, Nicolás
Divito, Guillermo Adrián
Cabrera, Miguel L.
Reussi Calvo, Nahuel Ignacio
Echeverria, Hernan Eduardo
author Carciochi, Walter Daniel
author_facet Carciochi, Walter Daniel
Wyngaard, Nicolás
Divito, Guillermo Adrián
Cabrera, Miguel L.
Reussi Calvo, Nahuel Ignacio
Echeverria, Hernan Eduardo
author_role author
author2 Wyngaard, Nicolás
Divito, Guillermo Adrián
Cabrera, Miguel L.
Reussi Calvo, Nahuel Ignacio
Echeverria, Hernan Eduardo
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Fertilidad del Suelo
Experimentación en Campo
Azufre
Mineralización
Soil Fertility
Field Experimentation
Sulphur
Mineralization
topic Fertilidad del Suelo
Experimentación en Campo
Azufre
Mineralización
Soil Fertility
Field Experimentation
Sulphur
Mineralization
dc.description.none.fl_txt_mv The development of simple predictors of sulfur (S) mineralization and its correlation with field-derived data may help improving corn S availability diagnosis. The objectives of this study were (1) to compare methods to estimate soil S mineralization, (2) to develop a model to predict soil S mineralization from S mineralization indexes and edaphic variables, and (3) to predict fieldgrown corn S uptake (Suptake) and apparent S mineralization (Smin-app) from different S mineralization indexes and edaphicclimatic variables.We evaluated 26 experimental sites where we measured edaphic variables as soil organic C (SOC), organic C in the particulate fraction (C-PF), S mineralization potential (Smin-10wk), S mineralized during a short-term (7 days) aerobic incubation + initial inorganic S (Smin-7d+ Sinorg), and N mineralized during a short-term (7 days) anaerobic incubation (Nan). Additionally, 18 field experiments were carried out to quantify Suptake and Smin-app. TheC-PF, Smin-7d+ Sinorg, Nan, and SOC were variables significantly correlated with Smin-10wk (r = 0.89, 0.89, 0.88, and 0.85, respectively). We developed a simple model to predict Smin-10wk from selected edaphic variables (Smin-10wk= 0.038*Nan + 0.106*SOC + 0.74; Ra 2 = 0.87). The Smin-10wk, C-PF, and Smin-7d+ Sinorg showed a liner-plateau association with Suptake (R2 = 0.73, 0.53, and 0.48, respectively). We modified the method to estimate Smin-app to account for S losses (Smin-app (modified)) and developed a model to predict Smin-app (modified) from CPF (Smin-app (modified)= 4.65*C-PF + 9.86; R2 = 0.62) or Smin-10wk (Smin-app (modified)= 3.0*Smin-10wk+ 7.4; R2 = 0.54). Our results demonstrate that S mineralization indexes can be used to predict corn S availability under field conditions.
EEA Balcarce
Fil: Carciocchi, Walter Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Unidad Integrada. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Wyngaard, Nicolás. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Unidad Integrada. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Divito, Guillermo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Unidad Integrada. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.
Fil: Cabrera, Miguel L. University of Georgia. Crop and Soil Sciences Department; Estados Unidos
Fil: Reussi Calvo, Nahuel Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Unidad Integrada. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Echeverria, Hernan Eduardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Unidad Integrada. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
description The development of simple predictors of sulfur (S) mineralization and its correlation with field-derived data may help improving corn S availability diagnosis. The objectives of this study were (1) to compare methods to estimate soil S mineralization, (2) to develop a model to predict soil S mineralization from S mineralization indexes and edaphic variables, and (3) to predict fieldgrown corn S uptake (Suptake) and apparent S mineralization (Smin-app) from different S mineralization indexes and edaphicclimatic variables.We evaluated 26 experimental sites where we measured edaphic variables as soil organic C (SOC), organic C in the particulate fraction (C-PF), S mineralization potential (Smin-10wk), S mineralized during a short-term (7 days) aerobic incubation + initial inorganic S (Smin-7d+ Sinorg), and N mineralized during a short-term (7 days) anaerobic incubation (Nan). Additionally, 18 field experiments were carried out to quantify Suptake and Smin-app. TheC-PF, Smin-7d+ Sinorg, Nan, and SOC were variables significantly correlated with Smin-10wk (r = 0.89, 0.89, 0.88, and 0.85, respectively). We developed a simple model to predict Smin-10wk from selected edaphic variables (Smin-10wk= 0.038*Nan + 0.106*SOC + 0.74; Ra 2 = 0.87). The Smin-10wk, C-PF, and Smin-7d+ Sinorg showed a liner-plateau association with Suptake (R2 = 0.73, 0.53, and 0.48, respectively). We modified the method to estimate Smin-app to account for S losses (Smin-app (modified)) and developed a model to predict Smin-app (modified) from CPF (Smin-app (modified)= 4.65*C-PF + 9.86; R2 = 0.62) or Smin-10wk (Smin-app (modified)= 3.0*Smin-10wk+ 7.4; R2 = 0.54). Our results demonstrate that S mineralization indexes can be used to predict corn S availability under field conditions.
publishDate 2018
dc.date.none.fl_str_mv 2018-03-27T15:53:07Z
2018-03-27T15:53:07Z
2018-04
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/20.500.12123/2137
https://link.springer.com/article/10.1007/s00374-018-1266-9
0178-2762 (Print)
1432-0789 (Online)
https://doi.org/10.1007/s00374-018-1266-9
url http://hdl.handle.net/20.500.12123/2137
https://link.springer.com/article/10.1007/s00374-018-1266-9
https://doi.org/10.1007/s00374-018-1266-9
identifier_str_mv 0178-2762 (Print)
1432-0789 (Online)
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.source.none.fl_str_mv Biology and fertility of soils 54 (3) : 349–362. (April 2018)
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
_version_ 1844619121074896896
score 12.559606

Publicaciones similares