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resumen

Resumen
Nitrogen fertilization usually increases maize yields, but its impact varies with water availability and plant density. Nitro¬gen indexes like chlorophyll meter readings may help to predict yield variations. Still, their effect has not been studied under contrasting plant densities, hybrids, and water availability conditions. This study aimed to analyze: (i) maize yield response to nitrogen fertilization across different planting densities and water [ver mas...]
dc.contributor.authorMartinez, Dionisio Roberto
dc.contributor.authorPietrobon, Marianela
dc.contributor.authorCrespo, Cecilia
dc.contributor.authorStadler, Nicolás
dc.contributor.authorBarbieri, Pablo
dc.date.accessioned2025-03-25T13:55:46Z
dc.date.available2025-03-25T13:55:46Z
dc.date.issued2025-02-05
dc.identifier.issn0718-9516 (online)
dc.identifier.issn0718-9508 (print)
dc.identifier.otherhttps://doi.org/10.1007/s42729-025-02282-6
dc.identifier.urihttp://hdl.handle.net/20.500.12123/21807
dc.identifier.urihttps://link.springer.com/article/10.1007/s42729-025-02282-6
dc.description.abstractNitrogen fertilization usually increases maize yields, but its impact varies with water availability and plant density. Nitro¬gen indexes like chlorophyll meter readings may help to predict yield variations. Still, their effect has not been studied under contrasting plant densities, hybrids, and water availability conditions. This study aimed to analyze: (i) maize yield response to nitrogen fertilization across different planting densities and water conditions; (ii) the relationship between nitrogen indexes and yield and its components; and (iii) the effect of hybrids differing in their prolificacy on the relation¬ship between nitrogen indexes and yield. Two experiments (Exp A and Exp B) were conducted using nitrogen fertilization rates and plant densities, Exp A focused on water conditions (irrigation vs. rainfed), while Exp B compared three maize hybrids. The chlorophyll meter readings were determined at different stages. Also, biomass, grain yield, and its compo¬nents were assessed, and their nitrogen nutrition index was determined. Chlorophyll meter readings values were relativ¬ized to compare among the experiments to obtain nitrogen sufficiency index. Increased nitrogen availability consistently increased yield on average by 2599 kg ha− 1 across all plant densities. Changes in density affected nitrogen sufficiency indicators similarly to nitrogen rate variations and water conditions. Higher densities correlated with a 15% lower chloro¬phyll meter readings value. Nitrogen sufficiency index at R4 proved the best predictor of yield variations (R2 = 0.52) and showed a high correlation with nitrogen nutrition index (r = 0.90). Despite hybrids presenting yield differences in optimal densities, responses to nitrogen fertilization both in yield and its components were consistent across hybrids. Plant density induces variations in nitrogen sufficiency index of similar or greater magnitude than nitrogen rates towards. This trend is clearer at the end of the crop cycle that were reflected in similar trends in the nitrogen nutrition index at physiological maturity. Future nitrogen diagnostic methodologies should consider plant density effects on maize response to fertilizationeng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherSpingeres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceJournal of Soil Science and Plant Nutrition (05 February 2025)es_AR
dc.subjectMaízes_AR
dc.subjectMaizeeng
dc.subjectAbonos Nitrogenadoses_AR
dc.subjectNitrogen Fertilizerseng
dc.subjectEtapas de Desarrollo de la Plantaes_AR
dc.subjectPlant Developmental Stageseng
dc.subjectRendimientoes_AR
dc.subjectYieldseng
dc.subjectManejo del Cultivoes_AR
dc.subjectDisponibilidad del Aguaes_AR
dc.subjectWater Availabilityeng
dc.subjectCrop Managementeng
dc.titleMaize management practices and its relationship with nitrogen indexes and yieldes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenEEA Balcarcees_AR
dc.description.filFil: Martínez, Roberto Dionisio. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentinaes_AR
dc.description.filFil: Pietrobon, Marianela. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias; Argentinaes_AR
dc.description.filFil: Crespo, Cecilia. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentinaes_AR
dc.description.filFil: Stadler, Nicolas. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentinaes_AR
dc.description.filFil: Barbieri, Pablo Andrés. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Instituto de Innovación para la Producción Agropecuaria y el Desarrollo Sostenible; Argentina.es_AR
dc.description.filFil: Barbieri, Pablo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Innovación para la Producción Agropecuaria y el Desarrollo Sostenible; Argentina
dc.subtypecientifico


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