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Abstract
Nitrogen deficiency can severely limit sunflower (Helianthus annuus L.) grain yield and quality. Our objective was to evaluate N diagnosis methods based on: (a) pre-plant soil nitrate-nitrogen (NO3––N) test (PPSNT) and soil N mineralized in short-term anaerobic incubation (Nan), (b) Greenness index (GI) and the normalized difference vegetation index (NDVI) measured at 6 (V6) and 12 (V12) leaves, and (c) grain nitrogen concentration (Nc). Seventeen [ver mas...]
dc.contributor.authorTovar Hernandez, Sergio
dc.contributor.authorDiovisalvi, Natalia
dc.contributor.authorCarciochi, Walter Daniel
dc.contributor.authorIzquierdo, Natalia
dc.contributor.authorSainz Rozas, Hernan Rene
dc.contributor.authorGarcía, Fernando
dc.contributor.authorReussi Calvo, Nahuel Ignacio
dc.dateinfo:eu-repo/date/embargoEnd/2022-09-09
dc.date.accessioned2021-09-09T11:44:46Z
dc.date.available2021-09-09T11:44:46Z
dc.date.issued2021-04-20
dc.identifier.issn1435-0645 (online)
dc.identifier.otherhttps://doi.org/10.1002/agj2.20685
dc.identifier.urihttp://hdl.handle.net/20.500.12123/10212
dc.identifier.urihttps://acsess.onlinelibrary.wiley.com/doi/10.1002/agj2.20685
dc.description.abstractNitrogen deficiency can severely limit sunflower (Helianthus annuus L.) grain yield and quality. Our objective was to evaluate N diagnosis methods based on: (a) pre-plant soil nitrate-nitrogen (NO3––N) test (PPSNT) and soil N mineralized in short-term anaerobic incubation (Nan), (b) Greenness index (GI) and the normalized difference vegetation index (NDVI) measured at 6 (V6) and 12 (V12) leaves, and (c) grain nitrogen concentration (Nc). Seventeen experiments were carried out between 2010 and 2019 in Argentina, evaluating nine N rates (0, 30, 40, 60, 80, 90, 120, 150, and 160 kg N ha–1). The GI, NDVI, N sufficiency index and relative normalized difference vegetation index (NDVIr) were determined at V6 and V12 growth stages. On average, yield response to N was 492 kg ha–1 and Nc response was 0.25% in 9 and 11 responsive experiments, respectively. The inclusion of Nan improved the PPSNT diagnosis method. The critical N availability (PPSNT + fertilizer N) threshold was 115 kg N ha–1 for experiments with low Nan (<60 mg kg–1), and 90 kg N ha–1 for experiments with high Nan (>60 mg kg–1). The NDVIr at V12 allowed monitoring the crop N status with a 0.95 critical threshold. The Nc adequately diagnosed N deficiencies and the critical threshold was 2.26%. Also, Nc was predicted from the ratio between N availability and grain yield (R2 = .39). Our results would allow to better estimate N availability to recommend adequate N fertilizer rates for sunflower aiming to optimize grain yield and quality, and minimize the economic and environmental cost of fertilization.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherAmerican Society of Agronomy; Estados Unidoses_AR
dc.relationinfo:eu-repograntAgreement/INTA/2019-PE-E1-I011-001/2019-PE-E1-I011-001/AR./Intensificacion Sustentable de la Agricultura en la Region Pampeanaes_AR
dc.rightsinfo:eu-repo/semantics/embargoedAccesses_AR
dc.sourceAgronomy Journal 113 (3) : 2846-2857 (May/June 2021)es_AR
dc.subjectHelianthus Annuuses_AR
dc.subjectNitrógenoes_AR
dc.subjectNitrogeneng
dc.subjectRendimientoes_AR
dc.subjectYieldseng
dc.subjectCalidades_AR
dc.subjectQualityeng
dc.subject.otherGirasoles_AR
dc.subject.otherSunflowereng
dc.titleAssessment of nitrogen diagnosis methods in sunfloweres_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 Balcarcees_AR
dc.description.filFil: Tovar Hernandez, Sergio. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.es_AR
dc.description.filFil: Diovisalvi, Natalia. Laboratorio de Suelos Fertilab; Argentina.es_AR
dc.description.filFil: Carciochi, Walter Daniel. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.es_AR
dc.description.filFil: Carciochi, Walter Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.es_AR
dc.description.filFil: Izquierdo, Natalia. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.es_AR
dc.description.filFil: Izquierdo, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.es_AR
dc.description.filFil: Sainz Rozas, Hernán René. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina.es_AR
dc.description.filFil: Sainz Rozas, Hernán René. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.es_AR
dc.description.filFil: Sainz Rozas, Hernán René. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.es_AR
dc.description.filFil: García, Fernando. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.es_AR
dc.description.filFil: Reussi Calvo, Nahuel Ignacio. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.es_AR
dc.description.filFil: Reussi Calvo, Nahuel Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.es_AR
dc.description.filFil: Reussi Calvo, Nahuel Ignacio. Laboratorio de Suelos Fertilab; Argentina.es_AR
dc.subtypecientifico


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