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Abstract
The central temperate Argentinean region is currently affected by rising water tables, allowing higher and more stable maize yields (Zea mays L) when they fluctuate within optimum depth. However, limited information was available for optimizing N management in these environments. Yield response to N rates was explored in soils with influencing groundwater (always less than 3.5 m depth), and different environment and management variables were examined to [ver mas...]
dc.contributor.authorRuiz, Alejo
dc.contributor.authorSalvagiotti, Fernando
dc.contributor.authorGambin, Brenda L.
dc.contributor.authorBorrás, Lucas
dc.dateinfo:eu-repo/date/embargoEnd/2021-10-29
dc.date.accessioned2020-10-29T14:02:23Z
dc.date.available2020-10-29T14:02:23Z
dc.date.issued2020-10
dc.identifier.issn0011-183X
dc.identifier.issn1435-0653
dc.identifier.otherhttps://doi.org/10.1002/csc2.20379
dc.identifier.urihttp://hdl.handle.net/20.500.12123/8151
dc.identifier.urihttps://acsess.onlinelibrary.wiley.com/doi/abs/10.1002/csc2.20379
dc.description.abstractThe central temperate Argentinean region is currently affected by rising water tables, allowing higher and more stable maize yields (Zea mays L) when they fluctuate within optimum depth. However, limited information was available for optimizing N management in these environments. Yield response to N rates was explored in soils with influencing groundwater (always less than 3.5 m depth), and different environment and management variables were examined to help explain differential yield responses across sites. A total of 15 rainfed experiments (site × year combinations) were conducted with five N rates (0 to 240 kg N ha−1) tested at two different timings (sowing and V7) in a factorial design. A consistent yield response to N rate was evident, increasing yields from 2300 to 6900 kg ha−1 across sites. Yields at maximum N levels ranged from 13700 to 16900 kg ha−1. Fertilization timing had a minor and inconsistent effect on yield across sites. At a maize grain:fertilizer N price ratio of 10, the economically optimal N rate ranged from 117 and 206 kg N ha−1. Soil N‐NO3 at sowing, previous crop, and apparent‐INS (apparent‐indigenous N supply) helped explain differential yield responses across sites, and response models for obtaining economic optimum rates considering the influence of these variables are provided. These results highlight the relevance of N rate, rather than timing, as a critical crop management decision in environments with high water availability and yield.eng
dc.formatapplication/pdfes_AR
dc.language.isospaes_AR
dc.publisherWileyes_AR
dc.rightsinfo:eu-repo/semantics/embargoedAccesses_AR
dc.sourceCrop Science (First published: 16 October 2020)es_AR
dc.subjectMaízes_AR
dc.subjectMaizeeng
dc.subjectAplicación de Abonoses_AR
dc.subjectFertilizer Applicationeng
dc.subjectAbonos Nitrogenadoses_AR
dc.subjectNitrogen Fertilizerseng
dc.subjectCapa Freáticaes_AR
dc.subjectGroundwater Tableeng
dc.subjectRendimientoes_AR
dc.subjectYieldseng
dc.subjectSueloes_AR
dc.subjectSoileng
dc.titleMaize nitrogen management in soils with influencing water tables within optimum depthes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/acceptedVersiones_AR
dc.description.origenEEA Oliveroses_AR
dc.description.filFil: Ruiz, Alejo. Asociación Argentina de Productores en Siembra Directa; Argentinaes_AR
dc.description.filFil: Salvagiotti, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Oliveros; Argentinaes_AR
dc.description.filFil: Gambin, Brenda L. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentinaes_AR
dc.description.filFil: Borrás, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentinaes_AR
dc.subtypecientifico


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