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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
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CRITICAL NITROGEN CONCENTRATION
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NUTRIENT MANAGEMENT PRACTICES
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YIELD
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CROPS
dc.subject.classification
Agricultura
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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
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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
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