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dc.contributor.author
Rodriguez, Ignacio Martin  
dc.contributor.author
Lacasa, Josefina  
dc.contributor.author
van Versendaal, Emmanuela  
dc.contributor.author
Lemaire, Gilles  
dc.contributor.author
Belanger, Gilles  
dc.contributor.author
Jégo, Guillaume  
dc.contributor.author
Sandaña, Patricio G.  
dc.contributor.author
Soratto, Rogério P.  
dc.contributor.author
Djalovic, Ivica  
dc.contributor.author
Ata Ul Karim, Syed Tahir  
dc.contributor.author
Reussi Calvo, Nahuel Ignacio  
dc.contributor.author
Giletto, Claudia Marcela  
dc.contributor.author
Zhao, Ben  
dc.contributor.author
Ciampitti, Ignacio Antonio  
dc.date.available
2024-03-25T11:49:30Z  
dc.date.issued
2024-03  
dc.identifier.citation
Rodriguez, Ignacio Martin; Lacasa, Josefina; van Versendaal, Emmanuela; Lemaire, Gilles; Belanger, Gilles; et al.; Revisiting the relationship between nitrogen nutrition index and yield across major species; Elsevier Science; European Journal of Agronomy; 154; 127079; 3-2024; 1-10  
dc.identifier.issn
1161-0301  
dc.identifier.uri
http://hdl.handle.net/11336/231396  
dc.description.abstract
Crop nitrogen (N) fertilization diagnoses via the N nutrition index (NNI)-yield relationship have been tested forseveral crop species, but a cross-species comparison of that relationship has not been performed yet. This studyaimed to perform a cross-species comparison of the relationship between NNI and yield with emphasis on theyield sensitivity to N deficiency, slope of the models. Additionally, we conducted an evaluation to determine thebest NNI sampling moment to predict relative yield, with focus on major grain crops. Based on a recently publishedglobal 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. Weobtained 238 observations to fit integrated NNI-relative yield linear mixed-effects models and 1606 observationsto fit instantaneous NNI-relative yield models. Subsequently, we performed a sensitivity analysis to determinethe 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 therelationship between relative yield and integrated NNI. For grain crops, instantaneous NNI around anthesisdemonstrated a better predictive capability for relative yield, outperforming other vegetative stages. This findingcontributed to improving the understanding of the association between relative yield and NNI with implicationsfor breeding programs, nutrient management practices, and crop modelling. Most importantly, this study is acontribution to improving the N nutrition diagnosis for several crop species, by using an integral, comparativeapproach.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
NITROGEN NUTRITION INDEX  
dc.subject
CRITICAL NITROGEN CONCENTRATION  
dc.subject
NUTRIENT MANAGEMENT PRACTICES  
dc.subject
YIELD  
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CROPS  
dc.subject.classification
Agricultura  
dc.subject.classification
Agricultura, Silvicultura y Pesca  
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CIENCIAS AGRÍCOLAS  
dc.title
Revisiting the relationship between nitrogen nutrition index and yield across major species  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-03-19T14:22:55Z  
dc.journal.volume
154  
dc.journal.number
127079  
dc.journal.pagination
1-10  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Rodriguez, Ignacio Martin. Universidad Nacional de Mar del Plata; Argentina. Kansas State University; Estados Unidos. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce. Agencia de Extensión Rural Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina  
dc.description.fil
Fil: Lacasa, Josefina. Kansas State University; Estados Unidos  
dc.description.fil
Fil: van Versendaal, Emmanuela. Kansas State University; Estados Unidos  
dc.description.fil
Fil: Lemaire, Gilles. Institut National de la Recherche Agronomique; Francia  
dc.description.fil
Fil: Belanger, Gilles. Quebec Research And Development Centre; Canadá  
dc.description.fil
Fil: Jégo, Guillaume. Quebec Research And Development Centre; Canadá  
dc.description.fil
Fil: Sandaña, Patricio G.. Universidad Austral de Chile; Chile  
dc.description.fil
Fil: Soratto, Rogério P.. Universidade Federal de Sao Paulo; Brasil  
dc.description.fil
Fil: Djalovic, Ivica. National Institute of the Republic of Serbia; Serbia  
dc.description.fil
Fil: Ata Ul Karim, Syed Tahir. State University of Pennsylvania; Estados Unidos  
dc.description.fil
Fil: Reussi Calvo, Nahuel Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce. Agencia de Extensión Rural Balcarce; Argentina  
dc.description.fil
Fil: Giletto, Claudia Marcela. Universidad Nacional de Mar del Plata; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce. Agencia de Extensión Rural Balcarce; Argentina  
dc.description.fil
Fil: Zhao, Ben. Chinese Academy Of Agricultural Sciences; China  
dc.description.fil
Fil: Ciampitti, Ignacio Antonio. Kansas State University; Estados Unidos  
dc.journal.title
European Journal of Agronomy  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S1161030123003477  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.eja.2023.127079