Diagnosis of sulfur availability for corn based on soil analysis
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 de...
| Autores principales: | , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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Springer Berlin Heidelberg
2018
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| Materias: | |
| Acceso en línea: | 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 |
| _version_ | 1855483203506143232 |
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| author | Carciochi, Walter Daniel Wingaard, Nicolás Divito, Guillermo Adrián Reussi Calvo, Nahuel Ignacio Cabrera, Miguel Echeverria, Hernan Eduardo |
| author_browse | Cabrera, Miguel Carciochi, Walter Daniel Divito, Guillermo Adrián Echeverria, Hernan Eduardo Reussi Calvo, Nahuel Ignacio Wingaard, Nicolás |
| author_facet | Carciochi, Walter Daniel Wingaard, Nicolás Divito, Guillermo Adrián Reussi Calvo, Nahuel Ignacio Cabrera, Miguel Echeverria, Hernan Eduardo |
| author_sort | Carciochi, Walter Daniel |
| collection | INTA Digital |
| 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. |
| format | Artículo |
| id | INTA3233 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | Springer Berlin Heidelberg |
| publisherStr | Springer Berlin Heidelberg |
| record_format | dspace |
| spelling | INTA32332021-09-28T10:52:36Z Diagnosis of sulfur availability for corn based on soil analysis Carciochi, Walter Daniel Wingaard, Nicolás Divito, Guillermo Adrián Reussi Calvo, Nahuel Ignacio Cabrera, Miguel Echeverria, Hernan Eduardo Diagnóstico Azufre Maíz Análisis del Suelo Diagnosis Sulphur Maize Soil Analysis 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 2018-08-29T13:44:26Z 2018-08-29T13:44:26Z 2016-10 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng info:eu-repo/semantics/restrictedAccess application/pdf Springer Berlin Heidelberg Biology and Fertility of Soils 52 (7) : 917–926 (2016) |
| spellingShingle | Diagnóstico Azufre Maíz Análisis del Suelo Diagnosis Sulphur Maize Soil Analysis Carciochi, Walter Daniel Wingaard, Nicolás Divito, Guillermo Adrián Reussi Calvo, Nahuel Ignacio Cabrera, Miguel Echeverria, Hernan Eduardo Diagnosis of sulfur availability for corn based on soil analysis |
| title | 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_short | Diagnosis of sulfur availability for corn based on soil analysis |
| title_sort | diagnosis of sulfur availability for corn based on soil analysis |
| topic | Diagnóstico Azufre Maíz Análisis del Suelo Diagnosis Sulphur Maize Soil Analysis |
| 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 |
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