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Abstract
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 [ver mas...]
dc.contributor.authorAngella, Gabriel Augusto
dc.contributor.authorGarcía Vila, M.
dc.contributor.authorLopez, Juana Maria
dc.contributor.authorBarraza, Gabriela Alejandra
dc.contributor.authorSalgado, Ramiro
dc.contributor.authorPrieto Angueira, Salvador
dc.contributor.authorTomsic, Pablo Daniel
dc.contributor.authorFereres, E.
dc.date.accessioned2018-06-12T17:54:12Z
dc.date.available2018-06-12T17:54:12Z
dc.date.issued2016-01
dc.identifier.issn0342-7188
dc.identifier.issn1432-1319
dc.identifier.otherhttps://doi.org/10.1007/s00271-015-0486-0
dc.identifier.urihttps://link.springer.com/article/10.1007/s00271-015-0486-0
dc.identifier.urihttp://hdl.handle.net/20.500.12123/2606
dc.description.abstractRemoval 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.eng
dc.formatapplication/pdfeng
dc.language.isoeng
dc.rightsinfo:eu-repo/semantics/restrictedAccesseng
dc.sourceIrrigation science 34 (1) : 71–83. (January 2016)eng
dc.subjectRiegoes_AR
dc.subjectIrrigationeng
dc.subjectCalendario de los Riegoses_AR
dc.subjectIrrigation Schedulingeng
dc.subjectRiego Rotativoes_AR
dc.subjectRotation Irrigationeng
dc.subjectRendimientoes_AR
dc.subjectYieldseng
dc.subjectAguaes_AR
dc.subjectWatereng
dc.titleQuantifying yield and water productivity gaps in an irrigation district under rotational delivery scheduleeng
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.description.origenEEA Santiago del Esteroes_AR
dc.description.filFil: 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; Argentinaes_AR
dc.description.filFil: García Vila, M. Universidad de Córdoba. Departamento de Agronomía; Españaes_AR
dc.description.filFil: Lopez, Juana Maria. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argentinaes_AR
dc.description.filFil: Barraza, Gabriela Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argentinaes_AR
dc.description.filFil: Salgado, Ramiro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argentinaes_AR
dc.description.filFil: 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; Argentinaes_AR
dc.description.filFil: Tomsic, Pablo Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; Argentinaes_AR
dc.description.filFil: Fereres, E. Universidad de Córdoba. Departamento de Agronomía; España. Consejo Superior de Investigaciones Científica (CSIC). Instituto de Agricultura Sostenible (IAS); Españaes_AR
dc.subtypecientifico


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