Can edaphic variables improve DTPA-Based zinc diagnosis in corn?
Current zinc (Zn) diagnostic methods for corn (Zea mays L.) are often based on soil DTPA (diethylenetriamine-pentaacetic acid) extractable Zn (DTPA-Zn). However, calibration of the DTPA-Zn test may be influenced by other soil properties such as pH, organic matter (SOM) and available Bray-P (PBray-1)...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
2017
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| Acceso en línea: | http://hdl.handle.net/20.500.12123/618 https://acsess.onlinelibrary.wiley.com/doi/10.2136/sssaj2016.09.0316 https://doi.org/10.2136/sssaj2016.09.0316 |
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| author | Barbieri, Pablo Sainz Rozas, Hernan Rene Wingaard, Nicolás Eyherabide, Mercedes Reussi Calvo, Nahuel Ignacio Salvagiotti, Fernando Correndo, Adrián A. Barbagelata, Pedro Anibal Espósito Goya, Gabriel Pablo Colazo, Juan Cruz Echeverria, Hernan Eduardo |
| author_browse | Barbagelata, Pedro Anibal Barbieri, Pablo Colazo, Juan Cruz Correndo, Adrián A. Echeverria, Hernan Eduardo Espósito Goya, Gabriel Pablo Eyherabide, Mercedes Reussi Calvo, Nahuel Ignacio Sainz Rozas, Hernan Rene Salvagiotti, Fernando Wingaard, Nicolás |
| author_facet | Barbieri, Pablo Sainz Rozas, Hernan Rene Wingaard, Nicolás Eyherabide, Mercedes Reussi Calvo, Nahuel Ignacio Salvagiotti, Fernando Correndo, Adrián A. Barbagelata, Pedro Anibal Espósito Goya, Gabriel Pablo Colazo, Juan Cruz Echeverria, Hernan Eduardo |
| author_sort | Barbieri, Pablo |
| collection | INTA Digital |
| description | Current zinc (Zn) diagnostic methods for corn (Zea mays L.) are often based on soil DTPA (diethylenetriamine-pentaacetic acid) extractable Zn (DTPA-Zn). However, calibration of the DTPA-Zn test may be influenced by other soil properties such as pH, organic matter (SOM) and available Bray-P (PBray-1). Our objective was to assess the contribution of soil properties to a DTPA-Zn model used to predict corn response to Zn fertilization. We conducted 64 field trials with two Zn-fertilization treatments: with and without Zn fertilization. In all sites, we measured SOM, PBray-1, pH, and DTPA-Zn at 0- to 20-cm depth before sowing. Yield difference between Zn-fertilized and unfertilized treatments (Ydifference) was significant in 33% of the experimental site-years. In responsive site-years, the average Ydifference was 0.98 Mg ha-1 (11.4%). Soil organic matter was the only property that was a significant addition to the DTPA-Zn model for predicting the corn relative yield (Model R2 including SOM = 0.27). However, the improvement was nominal (Partial R2 of SOM = 0.06). Use of DTPA-Zn alone was suitable to discriminate Zn responsiveness among site-years based on the Ydifference by correctly diagnosing 81% of the outcomes. We determined three soil DPTA-Zn ranges with different probability of resulting in a Ydifference greater than zero when fertilized with Zn: high (<0.9 mg kg-1), medium (0.9–1.3 mg kg-1), and low (>1.3 mg kg-1). These soil-test-based Zn recommendations improve the identification of Zn-deficient soils allowing prevention of yield loss from Zn deficiency and more rational use of Zn fertilizers. |
| format | Artículo |
| id | INTA618 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| record_format | dspace |
| spelling | INTA6182024-08-21T13:15:58Z Can edaphic variables improve DTPA-Based zinc diagnosis in corn? Barbieri, Pablo Sainz Rozas, Hernan Rene Wingaard, Nicolás Eyherabide, Mercedes Reussi Calvo, Nahuel Ignacio Salvagiotti, Fernando Correndo, Adrián A. Barbagelata, Pedro Anibal Espósito Goya, Gabriel Pablo Colazo, Juan Cruz Echeverria, Hernan Eduardo Maíz Maize Zinc Soil Cinc Suelo Variables Edáficas Current zinc (Zn) diagnostic methods for corn (Zea mays L.) are often based on soil DTPA (diethylenetriamine-pentaacetic acid) extractable Zn (DTPA-Zn). However, calibration of the DTPA-Zn test may be influenced by other soil properties such as pH, organic matter (SOM) and available Bray-P (PBray-1). Our objective was to assess the contribution of soil properties to a DTPA-Zn model used to predict corn response to Zn fertilization. We conducted 64 field trials with two Zn-fertilization treatments: with and without Zn fertilization. In all sites, we measured SOM, PBray-1, pH, and DTPA-Zn at 0- to 20-cm depth before sowing. Yield difference between Zn-fertilized and unfertilized treatments (Ydifference) was significant in 33% of the experimental site-years. In responsive site-years, the average Ydifference was 0.98 Mg ha-1 (11.4%). Soil organic matter was the only property that was a significant addition to the DTPA-Zn model for predicting the corn relative yield (Model R2 including SOM = 0.27). However, the improvement was nominal (Partial R2 of SOM = 0.06). Use of DTPA-Zn alone was suitable to discriminate Zn responsiveness among site-years based on the Ydifference by correctly diagnosing 81% of the outcomes. We determined three soil DPTA-Zn ranges with different probability of resulting in a Ydifference greater than zero when fertilized with Zn: high (<0.9 mg kg-1), medium (0.9–1.3 mg kg-1), and low (>1.3 mg kg-1). These soil-test-based Zn recommendations improve the identification of Zn-deficient soils allowing prevention of yield loss from Zn deficiency and more rational use of Zn fertilizers. EEA Balcarce Fil: Barbieri, Pablo Andres. 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: Sainz Rozas, Hernan Rene. 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: Eyherabide, Mercedes. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Unidad Integrada. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. 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. Fertilab; Argentina Fil: Salvagiotti, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentina Fil: Correndo, Adrián A. International Plant Nutrition Institute, Cono Sur; Argentina Fil: Barbagelata, Pedro Anibal. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentina Fil: Espósito Goya, Gabriel P. Universidad Nacional de Río Cuarto; Argentina Fil: Colazo, Juan Cruz. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; 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 2017-07-10T13:01:34Z 2017-07-10T13:01:34Z 2017-06-01 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/submittedVersion http://hdl.handle.net/20.500.12123/618 https://acsess.onlinelibrary.wiley.com/doi/10.2136/sssaj2016.09.0316 1435-0661 https://doi.org/10.2136/sssaj2016.09.0316 eng info:eu-repo/semantics/restrictedAccess application/pdf Soil Science Society of America journal 81 (3) : 556-563. (2017) |
| spellingShingle | Maíz Maize Zinc Soil Cinc Suelo Variables Edáficas Barbieri, Pablo Sainz Rozas, Hernan Rene Wingaard, Nicolás Eyherabide, Mercedes Reussi Calvo, Nahuel Ignacio Salvagiotti, Fernando Correndo, Adrián A. Barbagelata, Pedro Anibal Espósito Goya, Gabriel Pablo Colazo, Juan Cruz Echeverria, Hernan Eduardo Can edaphic variables improve DTPA-Based zinc diagnosis in corn? |
| title | Can edaphic variables improve DTPA-Based zinc diagnosis in corn? |
| title_full | Can edaphic variables improve DTPA-Based zinc diagnosis in corn? |
| title_fullStr | Can edaphic variables improve DTPA-Based zinc diagnosis in corn? |
| title_full_unstemmed | Can edaphic variables improve DTPA-Based zinc diagnosis in corn? |
| title_short | Can edaphic variables improve DTPA-Based zinc diagnosis in corn? |
| title_sort | can edaphic variables improve dtpa based zinc diagnosis in corn |
| topic | Maíz Maize Zinc Soil Cinc Suelo Variables Edáficas |
| url | http://hdl.handle.net/20.500.12123/618 https://acsess.onlinelibrary.wiley.com/doi/10.2136/sssaj2016.09.0316 https://doi.org/10.2136/sssaj2016.09.0316 |
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