Quantifying yield and water productivity gaps in an irrigation district under rotational delivery schedule
Removal of irrigation network limitations under a rotational delivery schedule has been focused on improving infrastructures without paying sufficient attention to improving management. We developed a methodology to assess the yield and water productivity gaps in the Río Dulce irrigation system, San...
| Autores principales: | , , , , , , , |
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| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/2606 https://link.springer.com/article/10.1007/s00271-015-0486-0 https://doi.org/10.1007/s00271-015-0486-0 |
| _version_ | 1855034992549167104 |
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| author | Angella, Gabriel Augusto García Vila, Margarita Lopez, Juana Maria Barraza, Gabriela Alejandra Salgado, Ramiro Prieto Angueira, Salvador Tomsic, Pablo Daniel Fereres Castiel, Elías |
| author_browse | Angella, Gabriel Augusto Barraza, Gabriela Alejandra Fereres Castiel, Elías García Vila, Margarita Lopez, Juana Maria Prieto Angueira, Salvador Salgado, Ramiro Tomsic, Pablo Daniel |
| author_facet | Angella, Gabriel Augusto García Vila, Margarita Lopez, Juana Maria Barraza, Gabriela Alejandra Salgado, Ramiro Prieto Angueira, Salvador Tomsic, Pablo Daniel Fereres Castiel, Elías |
| author_sort | Angella, Gabriel Augusto |
| collection | INTA Digital |
| description | Removal of irrigation network limitations under a rotational delivery schedule has been focused on improving infrastructures without paying sufficient attention to improving management. We developed a methodology to assess the yield and water productivity gaps in the Río Dulce irrigation system, Santiago del Estero, Argentina. The AquaCrop model was used to determine the potential and attainable yields of maize and cotton under different water management scenarios. Actual yields and irrigation practices were determined by field surveys and farmers interviews. The AquaGIS tool facilitated the assessment of the spatial and temporal variations in yield using a daily climatic database of 26 years. The average yield gap (potential minus actual) amounted to 6 t ha−1 in maize and 2 t ha−1 in cotton. The average water productivity gap was 7 kg ha−1 mm−1 in maize and 2 kg ha−1 mm−1 in cotton. By a more effective use of the rotational delivery schedule, the yield gap could be partially closed, in particular if associated with other agronomic practices, namely nitrogen fertilization. The approach demonstrated the potential of combining field data collection with the use of AquaCrop to quantify the yield and WP gaps, and to propose management recommendations for closing the gaps. |
| format | info:ar-repo/semantics/artículo |
| id | INTA2606 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| record_format | dspace |
| spelling | INTA26062024-05-21T13:22:56Z Quantifying yield and water productivity gaps in an irrigation district under rotational delivery schedule Angella, Gabriel Augusto García Vila, Margarita Lopez, Juana Maria Barraza, Gabriela Alejandra Salgado, Ramiro Prieto Angueira, Salvador Tomsic, Pablo Daniel Fereres Castiel, Elías Riego Calendario de los Riegos Riego Rotativo Rendimiento Agua Irrigation Irrigation Scheduling Rotation Irrigation Yields Water Removal of irrigation network limitations under a rotational delivery schedule has been focused on improving infrastructures without paying sufficient attention to improving management. We developed a methodology to assess the yield and water productivity gaps in the Río Dulce irrigation system, Santiago del Estero, Argentina. The AquaCrop model was used to determine the potential and attainable yields of maize and cotton under different water management scenarios. Actual yields and irrigation practices were determined by field surveys and farmers interviews. The AquaGIS tool facilitated the assessment of the spatial and temporal variations in yield using a daily climatic database of 26 years. The average yield gap (potential minus actual) amounted to 6 t ha−1 in maize and 2 t ha−1 in cotton. The average water productivity gap was 7 kg ha−1 mm−1 in maize and 2 kg ha−1 mm−1 in cotton. By a more effective use of the rotational delivery schedule, the yield gap could be partially closed, in particular if associated with other agronomic practices, namely nitrogen fertilization. The approach demonstrated the potential of combining field data collection with the use of AquaCrop to quantify the yield and WP gaps, and to propose management recommendations for closing the gaps. EEA Santiago del Estero Fil: Angella, Gabriel Augusto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argentina. Universidad Nacional de Santiago del Estero.Facultad de Agronomía y Agroindustrias; Argentina Fil: García Vila, M. Universidad de Córdoba. Departamento de Agronomía; España Fil: Lopez, Juana Maria. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argentina Fil: Barraza, Gabriela Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argentina Fil: Salgado, Ramiro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argentina Fil: Prieto Angueira, Salvador. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argentina. Universidad Nacional de Santiago del Estero.Facultad de Agronomía y Agroindustrias; Argentina Fil: Tomsic, Pablo Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argentina Fil: Fereres, E. Universidad de Córdoba. Departamento de Agronomía; España. Consejo Superior de Investigaciones Científica (CSIC). Instituto de Agricultura Sostenible (IAS); España 2018-06-12T17:54:12Z 2018-06-12T17:54:12Z 2016-01 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/2606 https://link.springer.com/article/10.1007/s00271-015-0486-0 0342-7188 1432-1319 https://doi.org/10.1007/s00271-015-0486-0 eng info:eu-repo/semantics/restrictedAccess application/pdf Irrigation science 34 (1) : 71–83. (January 2016) |
| spellingShingle | Riego Calendario de los Riegos Riego Rotativo Rendimiento Agua Irrigation Irrigation Scheduling Rotation Irrigation Yields Water Angella, Gabriel Augusto García Vila, Margarita Lopez, Juana Maria Barraza, Gabriela Alejandra Salgado, Ramiro Prieto Angueira, Salvador Tomsic, Pablo Daniel Fereres Castiel, Elías Quantifying yield and water productivity gaps in an irrigation district under rotational delivery schedule |
| title | Quantifying yield and water productivity gaps in an irrigation district under rotational delivery schedule |
| title_full | Quantifying yield and water productivity gaps in an irrigation district under rotational delivery schedule |
| title_fullStr | Quantifying yield and water productivity gaps in an irrigation district under rotational delivery schedule |
| title_full_unstemmed | Quantifying yield and water productivity gaps in an irrigation district under rotational delivery schedule |
| title_short | Quantifying yield and water productivity gaps in an irrigation district under rotational delivery schedule |
| title_sort | quantifying yield and water productivity gaps in an irrigation district under rotational delivery schedule |
| topic | Riego Calendario de los Riegos Riego Rotativo Rendimiento Agua Irrigation Irrigation Scheduling Rotation Irrigation Yields Water |
| url | http://hdl.handle.net/20.500.12123/2606 https://link.springer.com/article/10.1007/s00271-015-0486-0 https://doi.org/10.1007/s00271-015-0486-0 |
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