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dc.contributor.author
Carciochi, Walter Daniel

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Wyngaard, Nicolás

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Divito, Guillermo Adrián

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Cabrera, Miguel L.
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Reussi Calvo, Nahuel Ignacio

dc.contributor.author
Echeverría, Hernán E.
dc.date.available
2020-03-26T18:02:57Z
dc.date.issued
2018-01
dc.identifier.citation
Carciochi, Walter Daniel; Wyngaard, Nicolás; Divito, Guillermo Adrián; Cabrera, Miguel L.; Reussi Calvo, Nahuel Ignacio; et al.; A comparison of indexes to estimate corn S uptake and S mineralization in the field; Springer; Biology And Fertility of Soils; 54; 3; 1-2018; 349-362
dc.identifier.issn
0178-2762
dc.identifier.uri
http://hdl.handle.net/11336/100953
dc.description.abstract
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 field-grown corn S uptake (Suptake) and apparent S mineralization (Smin-app) from different S mineralization indexes and edaphic-climatic 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. The C-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 C-PF (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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer

dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
APPARENT S MINERALIZATION
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FIELD TRIALS
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INCUBATIONS
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SULFUR BALANCE
dc.subject.classification
Ciencias del Suelo

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Agricultura, Silvicultura y Pesca

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CIENCIAS AGRÍCOLAS

dc.title
A comparison of indexes to estimate corn S uptake and S mineralization in the field
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-03-25T14:01:11Z
dc.journal.volume
54
dc.journal.number
3
dc.journal.pagination
349-362
dc.journal.pais
Alemania

dc.description.fil
Fil: Carciochi, Walter Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina
dc.description.fil
Fil: Wyngaard, Nicolás. 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. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina
dc.description.fil
Fil: Divito, Guillermo Adrián. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. 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
dc.description.fil
Fil: Cabrera, Miguel L.. University of Georgia; Estados Unidos
dc.description.fil
Fil: Reussi Calvo, Nahuel Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina
dc.description.fil
Fil: Echeverría, Hernán E.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
dc.journal.title
Biology And Fertility of Soils

dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s00374-018-1266-9
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s00374-018-1266-9
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