Quantifying yield and water productivity gaps in an irrigation district under rotational delivery schedule

Autores
Angella, Gabriel Augusto; García Vila, Margarita; Lopez, Juana Maria; Barraza, Gabriela Alejandra; Salgado, Ramiro; Prieto Angueira, Salvador; Tomsic, Pablo Daniel; Fereres Castiel, Elías
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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
Fuente
Irrigation science 34 (1) : 71–83. (January 2016)
Materia
Riego
Calendario de los Riegos
Riego Rotativo
Rendimiento
Agua
Irrigation
Irrigation Scheduling
Rotation Irrigation
Yields
Water
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/2606
Acceder
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oai_identifier_str oai:localhost:20.500.12123/2606
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Quantifying yield and water productivity gaps in an irrigation district under rotational delivery scheduleAngella, Gabriel AugustoGarcía Vila, MargaritaLopez, Juana MariaBarraza, Gabriela AlejandraSalgado, RamiroPrieto Angueira, SalvadorTomsic, Pablo DanielFereres Castiel, ElíasRiegoCalendario de los RiegosRiego RotativoRendimientoAguaIrrigationIrrigation SchedulingRotation IrrigationYieldsWaterRemoval 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 EsteroFil: 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; ArgentinaFil: García Vila, M. Universidad de Córdoba. Departamento de Agronomía; EspañaFil: Lopez, Juana Maria. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; ArgentinaFil: Barraza, Gabriela Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; ArgentinaFil: Salgado, Ramiro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; ArgentinaFil: 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; ArgentinaFil: Tomsic, Pablo Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; ArgentinaFil: Fereres, E. Universidad de Córdoba. Departamento de Agronomía; España. Consejo Superior de Investigaciones Científica (CSIC). Instituto de Agricultura Sostenible (IAS); España2018-06-12T17:54:12Z2018-06-12T17:54:12Z2016-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/2606https://link.springer.com/article/10.1007/s00271-015-0486-00342-71881432-1319https://doi.org/10.1007/s00271-015-0486-0Irrigation science 34 (1) : 71–83. (January 2016)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-04T09:47:19Zoai:localhost:20.500.12123/2606instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:47:20.401INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv 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
spellingShingle Quantifying yield and water productivity gaps in an irrigation district under rotational delivery schedule
Angella, Gabriel Augusto
Riego
Calendario de los Riegos
Riego Rotativo
Rendimiento
Agua
Irrigation
Irrigation Scheduling
Rotation Irrigation
Yields
Water
title_short 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_sort Quantifying yield and water productivity gaps in an irrigation district under rotational delivery schedule
dc.creator.none.fl_str_mv Angella, Gabriel Augusto
García Vila, Margarita
Lopez, Juana Maria
Barraza, Gabriela Alejandra
Salgado, Ramiro
Prieto Angueira, Salvador
Tomsic, Pablo Daniel
Fereres Castiel, Elías
author Angella, Gabriel Augusto
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_role author
author2 García Vila, Margarita
Lopez, Juana Maria
Barraza, Gabriela Alejandra
Salgado, Ramiro
Prieto Angueira, Salvador
Tomsic, Pablo Daniel
Fereres Castiel, Elías
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Riego
Calendario de los Riegos
Riego Rotativo
Rendimiento
Agua
Irrigation
Irrigation Scheduling
Rotation Irrigation
Yields
Water
topic Riego
Calendario de los Riegos
Riego Rotativo
Rendimiento
Agua
Irrigation
Irrigation Scheduling
Rotation Irrigation
Yields
Water
dc.description.none.fl_txt_mv 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
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.
publishDate 2016
dc.date.none.fl_str_mv 2016-01
2018-06-12T17:54:12Z
2018-06-12T17:54:12Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 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
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
identifier_str_mv 0342-7188
1432-1319
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Irrigation science 34 (1) : 71–83. (January 2016)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.623145

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