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Resumen
Crop nitrogen (N) fertilization diagnoses via the N nutrition index (NNI)-yield relationship have been tested for several crop species, but a cross-species comparison of that relationship has not been performed yet. This study aimed to perform a cross-species comparison of the relationship between NNI and yield with emphasis on the yield sensitivity to N deficiency, slope of the models. Additionally, we conducted an evaluation to determine the best NNI [ver mas...]
dc.contributor.authorRodriguez, Ignacio
dc.contributor.authorLacasa, Josefina
dc.contributor.authorvan Versendaal, Emmanuela
dc.contributor.authorLemaire, Gilles
dc.contributor.authorBelanger, Gilles
dc.contributor.authorJégo, Guillaume
dc.contributor.authorSandaña, Patricio
dc.contributor.authorSoratto, Rogério
dc.contributor.authorDjalovic, Ivica
dc.contributor.authorAta-Ul-Karim, Syed Tahir
dc.contributor.authorReussi Calvo, Nahuel Ignacio
dc.contributor.authorGiletto, Claudia Marcela
dc.contributor.authorZhao, Ben
dc.contributor.authorCiampitti, Ignacio
dc.date.accessioned2024-03-12T18:04:53Z
dc.date.available2024-03-12T18:04:53Z
dc.date.issued2024-03
dc.identifier.issn1161-0301 (Print)
dc.identifier.issn1873-7331 (Online)
dc.identifier.otherhttps://doi.org/10.1016/j.eja.2023.127079
dc.identifier.urihttp://hdl.handle.net/20.500.12123/17009
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1161030123003477
dc.description.abstractCrop nitrogen (N) fertilization diagnoses via the N nutrition index (NNI)-yield relationship have been tested for several crop species, but a cross-species comparison of that relationship has not been performed yet. This study aimed to perform a cross-species comparison of the relationship between NNI and yield with emphasis on the yield sensitivity to N deficiency, slope of the models. Additionally, we conducted an evaluation to determine the best NNI sampling moment to predict relative yield, with focus on major grain crops. Based on a recently published global dataset to parametrize critical dilution curves, we calculated integrated NNI, instantaneous NNI, relative yield, and relative shoot biomass for annual ryegrass, tall fescue, maize, potato, rice, and wheat. We obtained 238 observations to fit integrated NNI-relative yield linear mixed-effects models and 1606 observations to fit instantaneous NNI-relative yield models. Subsequently, we performed a sensitivity analysis to determine the best NNI sampling moment to predict relative yield, with focus on major grain crops (maize, rice, and wheat). Our results show that there was low inter-species variation of sensitivity to N deficiency, i.e., the slope of the relationship between relative yield and integrated NNI. For grain crops, instantaneous NNI around anthesis demonstrated a better predictive capability for relative yield, outperforming other vegetative stages. This finding contributed to improving the understanding of the association between relative yield and NNI with implications for breeding programs, nutrient management practices, and crop modelling. Most importantly, this study is a contribution to improving the N nutrition diagnosis for several crop species, by using an integral, comparative approach.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceEuropean Journal of Agronomy 154 : 127079 (March 2024)es_AR
dc.subjectNitrógenoes_AR
dc.subjectNitrogeneng
dc.subjectRendimiento de Cultivoses_AR
dc.subjectCrop Yieldeng
dc.subjectAplicación de Abonoses_AR
dc.subjectFertilizer Applicationeng
dc.subjectNutrición de las Plantases_AR
dc.subjectPlant Nutritioneng
dc.titleRevisiting the relationship between nitrogen nutrition index and yield across major specieses_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: Rodriguez, Ignacio. Kansas State University. Department of Agronomy; Estados Unidos.es_AR
dc.description.filFil: Rodriguez, Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina.es_AR
dc.description.filFil: Rodriguez, Ignacio. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.es_AR
dc.description.filFil: Lacasa, Josefina. Kansas State University. Department of Agronomy; Estados Unidos.es_AR
dc.description.filFil: van Versendaal, Emmanuela. Kansas State University. Department of Agronomy; Estados Unidos.es_AR
dc.description.filFil: Lemaire, Gilles. Institut National de la Recherche Agronomique; Francia.es_AR
dc.description.filFil: Belanger, Gilles. Agriculture and Agri-Food Canada, Quebec Research and Development Centre; Canadá.es_AR
dc.description.filFil: Jégo, Guillaume. Agriculture and Agri-Food Canada, Quebec Research and Development Centre; Canadá.es_AR
dc.description.filFil: Sandaña, Patricio. Universidad Austral de Chile. Institute of Plant Production and Protection; Chile.es_AR
dc.description.filFil: Soratto, Rogério. São Paulo State University. College of Agricultural Sciences; Brasil.es_AR
dc.description.filFil: Djalovic, Ivica. National Institute of the Republic of Serbia. Institute of Field and Vegetable Crops; Serbia.es_AR
dc.description.filFil: Ata-Ul-Karim, Syed Tahir. The Pennsylvania State University. Department of Plant Science; Estados Unidos.es_AR
dc.description.filFil: Reussi Calvo, Nahuel Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; 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: Giletto, Claudia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina.es_AR
dc.description.filFil: Giletto, Claudia. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.es_AR
dc.description.filFil: Zhao, Ben. Chinese Academy of Agricultural Sciences. Ministry of Agriculture, Farmland Irrigation Research Institute; Chinaes_AR
dc.description.filFil: Ciampitti, Ignacio. Kansas State University. Department of Agronomy; Estados Unidos.es_AR
dc.subtypecientifico


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