Spatio-Temporal Nitrogen Fertilizer Response in Maize: Field Study and Modeling Approach
Maize (Zea mays L.) yield and its response to nitrogen (N) are affected by the spatial variability of the interaction between weather, management, and soil properties. The objectives of this study were (i) to evaluate the response of spatial variability of maize yield by homogeneous zones (HZs) to d...
| Autores principales: | , , , |
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| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
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American Society of Agronomy
2018
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/3531 https://dl.sciencesocieties.org/publications/aj/abstracts/108/5/2110 |
| _version_ | 1855035158671917056 |
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| author | Albarenque, Susana Basso, Bruno Caviglia, Octavio Melchiori, Ricardo Jose |
| author_browse | Albarenque, Susana Basso, Bruno Caviglia, Octavio Melchiori, Ricardo Jose |
| author_facet | Albarenque, Susana Basso, Bruno Caviglia, Octavio Melchiori, Ricardo Jose |
| author_sort | Albarenque, Susana |
| collection | INTA Digital |
| description | Maize (Zea mays L.) yield and its response to nitrogen (N) are affected by the spatial variability of the interaction between weather, management, and soil properties. The objectives of this study were (i) to evaluate the response of spatial variability of maize yield by homogeneous zones (HZs) to different N fertilizer rates under rainfed conditions, (ii) to test the ability of the SALUS (System Approach to Land Use Sustainability) model to simulate the effects of N rates on maize yield under rainfed and irrigated conditions, and (iii) to estimate spatial and temporal N fertilizer response risk in maize through the use of long-term simulations. In two field experiments in Parana, Argentina (−31.8333°, −60.5167°) in 2011 (Field 1) and 2012 (Field 2), four fertilization treatments (0, 70, 140, and 210 kg ha−1) were evaluated in different HZs. The SALUS model was used to evaluate spatial variability in yield, N response, and net revenue over the long-term period (1971–2012). Results showed that yield was significantly affected by N rate (p < 0.01) in both fields and by HZ in Field 2 (p < 0.05), whereas N response was only affected by N rate. Simulated yield was significantly affected by N. The model accounted for the spatial variability, showing HZ effect (p < 0.001) and a significant HZ × N interaction (p < 0.0001). The optimal economic return N rate differed between HZs in both fields. Our procedure demonstrated the ability to improve N management by the selection of appropriate N rates across the field, thereby improving N use efficiency and growers’ profits and reducing the potential for negative environmental impacts. |
| format | info:ar-repo/semantics/artículo |
| id | INTA3531 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | American Society of Agronomy |
| publisherStr | American Society of Agronomy |
| record_format | dspace |
| spelling | INTA35312018-10-02T12:43:49Z Spatio-Temporal Nitrogen Fertilizer Response in Maize: Field Study and Modeling Approach Albarenque, Susana Basso, Bruno Caviglia, Octavio Melchiori, Ricardo Jose Maíz Zea Mays Abonos Nitrogenados Experimentación en Campo Rendimiento Modelos Maize Nitrogen Fertilizers Field Experimentation Yields Models System Approach to Land Use Sustainability Model Maize (Zea mays L.) yield and its response to nitrogen (N) are affected by the spatial variability of the interaction between weather, management, and soil properties. The objectives of this study were (i) to evaluate the response of spatial variability of maize yield by homogeneous zones (HZs) to different N fertilizer rates under rainfed conditions, (ii) to test the ability of the SALUS (System Approach to Land Use Sustainability) model to simulate the effects of N rates on maize yield under rainfed and irrigated conditions, and (iii) to estimate spatial and temporal N fertilizer response risk in maize through the use of long-term simulations. In two field experiments in Parana, Argentina (−31.8333°, −60.5167°) in 2011 (Field 1) and 2012 (Field 2), four fertilization treatments (0, 70, 140, and 210 kg ha−1) were evaluated in different HZs. The SALUS model was used to evaluate spatial variability in yield, N response, and net revenue over the long-term period (1971–2012). Results showed that yield was significantly affected by N rate (p < 0.01) in both fields and by HZ in Field 2 (p < 0.05), whereas N response was only affected by N rate. Simulated yield was significantly affected by N. The model accounted for the spatial variability, showing HZ effect (p < 0.001) and a significant HZ × N interaction (p < 0.0001). The optimal economic return N rate differed between HZs in both fields. Our procedure demonstrated the ability to improve N management by the selection of appropriate N rates across the field, thereby improving N use efficiency and growers’ profits and reducing the potential for negative environmental impacts. EEA Paraná Fil: Albarenque, Susana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentina Fil: Basso, Bruno. Michigan State University. Department of Earth and Environmental Sciences; Estados Unidos Fil: Caviglia, Octavio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná. Grupo Ecología Forestal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentina Fil: Melchiori, Ricardo Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná. Grupo Recursos Naturales y Factores Abióticos; Argentina 2018-10-02T12:39:30Z 2018-10-02T12:39:30Z 2016 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/3531 https://dl.sciencesocieties.org/publications/aj/abstracts/108/5/2110 1435-0645 10.2134/agronj2016.02.0081 eng info:eu-repo/semantics/restrictedAccess application/pdf American Society of Agronomy Agronomy journal 108 (5) : 2110-2122. (September-October 2016) |
| spellingShingle | Maíz Zea Mays Abonos Nitrogenados Experimentación en Campo Rendimiento Modelos Maize Nitrogen Fertilizers Field Experimentation Yields Models System Approach to Land Use Sustainability Model Albarenque, Susana Basso, Bruno Caviglia, Octavio Melchiori, Ricardo Jose Spatio-Temporal Nitrogen Fertilizer Response in Maize: Field Study and Modeling Approach |
| title | Spatio-Temporal Nitrogen Fertilizer Response in Maize: Field Study and Modeling Approach |
| title_full | Spatio-Temporal Nitrogen Fertilizer Response in Maize: Field Study and Modeling Approach |
| title_fullStr | Spatio-Temporal Nitrogen Fertilizer Response in Maize: Field Study and Modeling Approach |
| title_full_unstemmed | Spatio-Temporal Nitrogen Fertilizer Response in Maize: Field Study and Modeling Approach |
| title_short | Spatio-Temporal Nitrogen Fertilizer Response in Maize: Field Study and Modeling Approach |
| title_sort | spatio temporal nitrogen fertilizer response in maize field study and modeling approach |
| topic | Maíz Zea Mays Abonos Nitrogenados Experimentación en Campo Rendimiento Modelos Maize Nitrogen Fertilizers Field Experimentation Yields Models System Approach to Land Use Sustainability Model |
| url | http://hdl.handle.net/20.500.12123/3531 https://dl.sciencesocieties.org/publications/aj/abstracts/108/5/2110 |
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