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dc.creatorRodriguez, Ignacio M.
dc.creatorLacasa, Josefina
dc.creatorvan Versendaal, Emmanuela
dc.creatorLemaire, Gilles
dc.creatorBelanger, Gilles
dc.creatorJego, Guillaume
dc.creatorSandana, Patricio G.
dc.creatorSoratto, Rogerio P.
dc.creatorĐalović, Ivica
dc.creatorTahir Ata-Ul-Karin, Sayed
dc.creatorReussi Calvo, Nahuel I.
dc.creatorGiletto, Claudia M.
dc.creatorZhao, Ben
dc.creatorCiampitti, Ignacio M.
dc.date.accessioned2024-01-09T08:41:06Z
dc.date.available2024-01-09T08:41:06Z
dc.date.issued2024
dc.identifier.issn1161-0301
dc.identifier.urihttp://fiver.ifvcns.rs/handle/123456789/4215
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.sr
dc.language.isoensr
dc.publisherElseviersr
dc.rightsclosedAccesssr
dc.sourceEuropean Journal of Agronomysr
dc.subjectnitrogensr
dc.subjectcrop nutritionsr
dc.subjectfertilizationsr
dc.subjectyieldsr
dc.subjectcropssr
dc.titleRevisiting the relationship between nitrogen nutrition index and yield across major speciessr
dc.typearticlesr
dc.rights.licenseARRsr
dc.citation.spage127079
dc.citation.volume154
dc.identifier.doi10.1016/j.eja.2023.127079
dc.type.versionpublishedVersionsr


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