Does biological nitrogen fixation modify soybean nitrogen dilution curves?

Autores
Santachiara, Gabriel; Salvagiotti, Fernando; Gerde, Jose Arnaldo; Rotundo, José Luis
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Biological nitrogen fixation (BNF) in soybean [Glycine max (L.) Merr.] represents, on average, 60% of total nitrogen (N) uptake. Nitrogen dilution curves link aboveground crop N concentration (%N) to biomass accumulation (W). It has been reported that BNF is an energy-intensive process that might reduce biomass production per unit of captured N (physiological N use efficiency or NUE). This increased energy cost could lead to a more attenuated N (i.e. less efficient) dilution curve. However, there are no reports comparing N dilution curves for soybean crops differing in N source. Our objectives were to: (i) evaluate the impact of BNF on soybean N dilution curves and how it influences NUE, and (ii) establish independent N dilution curves for soil and atmospheric N. Our working hypothesis is that relying on BNF attenuates the N dilution curve and reduces NUE. The experiment consisted of a control and a fertilized treatment, 0 and 600 kg N ha−1 respectively, applied to four soybean genotypes in order to establish two differential BNF situations. While the control and fertilized treatments had differential N accumulation from BNF, ∼70% and ∼16%, respectively, there were no differences observed in seed yield (∼5000 kg ha−1), NUE (∼36 kg kg−1) and only slight differences in total N uptake (∼365 kg N ha−1 in fertilized treatment compared to ∼389 kg h−1 in the control treatment). Results suggest that reliance on BNF for N does not influence substantially the attenuation of the N dilution curve and has no impact on NUE. The N dilution parameter (“b”) ranged from −0.128 to −0.218 among cultivars and fertilization treatments. The less negative values (more attenuated curve) corresponded to the fertilized plots likely associated with luxury N consumption. Interestingly, dilution curves from soil mineral N showed the typical dilution pattern, while N derived from the atmosphere followed a concentration pattern as the crop developed. This most likely reflects the continuous N flux from BNF to the plant as opposed to the decreasing soil mineral N supply. Recognizing these concentration/dilution curves for atmospheric and soil N has three immediate implications. First, the atmospheric N concentration curve might indicate an upper benchmark for evaluating symbiosis performance during crop development. Second, the concentration pattern observed for BNF could potentially help to reverse the observed decline in seed protein concentration in modern soybean cultivars. Third, the N concentration/dilution curves for the individual N sources could be incorporated into crop models for estimating BNF at different crop biomass levels during soybean development.
Fil: Santachiara, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina
Fil: Salvagiotti, Fernando. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Santa Fe. Estación Experimental Agropecuaria Oliveros; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gerde, Jose Arnaldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Rotundo, José Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Materia
ATMOSPHERIC NITROGEN
FERTILIZATION
MINERAL SOIL ABSORPTION
NUTRITION
RHIZOBIUM
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/90378

id CONICETDig_ad5f409fb6e91ae89638fdacfbc2a9dd
oai_identifier_str oai:ri.conicet.gov.ar:11336/90378
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Does biological nitrogen fixation modify soybean nitrogen dilution curves?Santachiara, GabrielSalvagiotti, FernandoGerde, Jose ArnaldoRotundo, José LuisATMOSPHERIC NITROGENFERTILIZATIONMINERAL SOIL ABSORPTIONNUTRITIONRHIZOBIUMhttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Biological nitrogen fixation (BNF) in soybean [Glycine max (L.) Merr.] represents, on average, 60% of total nitrogen (N) uptake. Nitrogen dilution curves link aboveground crop N concentration (%N) to biomass accumulation (W). It has been reported that BNF is an energy-intensive process that might reduce biomass production per unit of captured N (physiological N use efficiency or NUE). This increased energy cost could lead to a more attenuated N (i.e. less efficient) dilution curve. However, there are no reports comparing N dilution curves for soybean crops differing in N source. Our objectives were to: (i) evaluate the impact of BNF on soybean N dilution curves and how it influences NUE, and (ii) establish independent N dilution curves for soil and atmospheric N. Our working hypothesis is that relying on BNF attenuates the N dilution curve and reduces NUE. The experiment consisted of a control and a fertilized treatment, 0 and 600 kg N ha−1 respectively, applied to four soybean genotypes in order to establish two differential BNF situations. While the control and fertilized treatments had differential N accumulation from BNF, ∼70% and ∼16%, respectively, there were no differences observed in seed yield (∼5000 kg ha−1), NUE (∼36 kg kg−1) and only slight differences in total N uptake (∼365 kg N ha−1 in fertilized treatment compared to ∼389 kg h−1 in the control treatment). Results suggest that reliance on BNF for N does not influence substantially the attenuation of the N dilution curve and has no impact on NUE. The N dilution parameter (“b”) ranged from −0.128 to −0.218 among cultivars and fertilization treatments. The less negative values (more attenuated curve) corresponded to the fertilized plots likely associated with luxury N consumption. Interestingly, dilution curves from soil mineral N showed the typical dilution pattern, while N derived from the atmosphere followed a concentration pattern as the crop developed. This most likely reflects the continuous N flux from BNF to the plant as opposed to the decreasing soil mineral N supply. Recognizing these concentration/dilution curves for atmospheric and soil N has three immediate implications. First, the atmospheric N concentration curve might indicate an upper benchmark for evaluating symbiosis performance during crop development. Second, the concentration pattern observed for BNF could potentially help to reverse the observed decline in seed protein concentration in modern soybean cultivars. Third, the N concentration/dilution curves for the individual N sources could be incorporated into crop models for estimating BNF at different crop biomass levels during soybean development.Fil: Santachiara, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; ArgentinaFil: Salvagiotti, Fernando. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Santa Fe. Estación Experimental Agropecuaria Oliveros; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gerde, Jose Arnaldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; ArgentinaFil: Rotundo, José Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; ArgentinaElsevier Science2018-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/90378Santachiara, Gabriel; Salvagiotti, Fernando; Gerde, Jose Arnaldo; Rotundo, José Luis; Does biological nitrogen fixation modify soybean nitrogen dilution curves?; Elsevier Science; Field Crops Research; 223; 6-2018; 171-1780378-4290CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378429017316143info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fcr.2018.04.001info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:35:18Zoai:ri.conicet.gov.ar:11336/90378instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:35:18.833CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Does biological nitrogen fixation modify soybean nitrogen dilution curves?
title Does biological nitrogen fixation modify soybean nitrogen dilution curves?
spellingShingle Does biological nitrogen fixation modify soybean nitrogen dilution curves?
Santachiara, Gabriel
ATMOSPHERIC NITROGEN
FERTILIZATION
MINERAL SOIL ABSORPTION
NUTRITION
RHIZOBIUM
title_short Does biological nitrogen fixation modify soybean nitrogen dilution curves?
title_full Does biological nitrogen fixation modify soybean nitrogen dilution curves?
title_fullStr Does biological nitrogen fixation modify soybean nitrogen dilution curves?
title_full_unstemmed Does biological nitrogen fixation modify soybean nitrogen dilution curves?
title_sort Does biological nitrogen fixation modify soybean nitrogen dilution curves?
dc.creator.none.fl_str_mv Santachiara, Gabriel
Salvagiotti, Fernando
Gerde, Jose Arnaldo
Rotundo, José Luis
author Santachiara, Gabriel
author_facet Santachiara, Gabriel
Salvagiotti, Fernando
Gerde, Jose Arnaldo
Rotundo, José Luis
author_role author
author2 Salvagiotti, Fernando
Gerde, Jose Arnaldo
Rotundo, José Luis
author2_role author
author
author
dc.subject.none.fl_str_mv ATMOSPHERIC NITROGEN
FERTILIZATION
MINERAL SOIL ABSORPTION
NUTRITION
RHIZOBIUM
topic ATMOSPHERIC NITROGEN
FERTILIZATION
MINERAL SOIL ABSORPTION
NUTRITION
RHIZOBIUM
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Biological nitrogen fixation (BNF) in soybean [Glycine max (L.) Merr.] represents, on average, 60% of total nitrogen (N) uptake. Nitrogen dilution curves link aboveground crop N concentration (%N) to biomass accumulation (W). It has been reported that BNF is an energy-intensive process that might reduce biomass production per unit of captured N (physiological N use efficiency or NUE). This increased energy cost could lead to a more attenuated N (i.e. less efficient) dilution curve. However, there are no reports comparing N dilution curves for soybean crops differing in N source. Our objectives were to: (i) evaluate the impact of BNF on soybean N dilution curves and how it influences NUE, and (ii) establish independent N dilution curves for soil and atmospheric N. Our working hypothesis is that relying on BNF attenuates the N dilution curve and reduces NUE. The experiment consisted of a control and a fertilized treatment, 0 and 600 kg N ha−1 respectively, applied to four soybean genotypes in order to establish two differential BNF situations. While the control and fertilized treatments had differential N accumulation from BNF, ∼70% and ∼16%, respectively, there were no differences observed in seed yield (∼5000 kg ha−1), NUE (∼36 kg kg−1) and only slight differences in total N uptake (∼365 kg N ha−1 in fertilized treatment compared to ∼389 kg h−1 in the control treatment). Results suggest that reliance on BNF for N does not influence substantially the attenuation of the N dilution curve and has no impact on NUE. The N dilution parameter (“b”) ranged from −0.128 to −0.218 among cultivars and fertilization treatments. The less negative values (more attenuated curve) corresponded to the fertilized plots likely associated with luxury N consumption. Interestingly, dilution curves from soil mineral N showed the typical dilution pattern, while N derived from the atmosphere followed a concentration pattern as the crop developed. This most likely reflects the continuous N flux from BNF to the plant as opposed to the decreasing soil mineral N supply. Recognizing these concentration/dilution curves for atmospheric and soil N has three immediate implications. First, the atmospheric N concentration curve might indicate an upper benchmark for evaluating symbiosis performance during crop development. Second, the concentration pattern observed for BNF could potentially help to reverse the observed decline in seed protein concentration in modern soybean cultivars. Third, the N concentration/dilution curves for the individual N sources could be incorporated into crop models for estimating BNF at different crop biomass levels during soybean development.
Fil: Santachiara, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina
Fil: Salvagiotti, Fernando. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Santa Fe. Estación Experimental Agropecuaria Oliveros; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gerde, Jose Arnaldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Rotundo, José Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
description Biological nitrogen fixation (BNF) in soybean [Glycine max (L.) Merr.] represents, on average, 60% of total nitrogen (N) uptake. Nitrogen dilution curves link aboveground crop N concentration (%N) to biomass accumulation (W). It has been reported that BNF is an energy-intensive process that might reduce biomass production per unit of captured N (physiological N use efficiency or NUE). This increased energy cost could lead to a more attenuated N (i.e. less efficient) dilution curve. However, there are no reports comparing N dilution curves for soybean crops differing in N source. Our objectives were to: (i) evaluate the impact of BNF on soybean N dilution curves and how it influences NUE, and (ii) establish independent N dilution curves for soil and atmospheric N. Our working hypothesis is that relying on BNF attenuates the N dilution curve and reduces NUE. The experiment consisted of a control and a fertilized treatment, 0 and 600 kg N ha−1 respectively, applied to four soybean genotypes in order to establish two differential BNF situations. While the control and fertilized treatments had differential N accumulation from BNF, ∼70% and ∼16%, respectively, there were no differences observed in seed yield (∼5000 kg ha−1), NUE (∼36 kg kg−1) and only slight differences in total N uptake (∼365 kg N ha−1 in fertilized treatment compared to ∼389 kg h−1 in the control treatment). Results suggest that reliance on BNF for N does not influence substantially the attenuation of the N dilution curve and has no impact on NUE. The N dilution parameter (“b”) ranged from −0.128 to −0.218 among cultivars and fertilization treatments. The less negative values (more attenuated curve) corresponded to the fertilized plots likely associated with luxury N consumption. Interestingly, dilution curves from soil mineral N showed the typical dilution pattern, while N derived from the atmosphere followed a concentration pattern as the crop developed. This most likely reflects the continuous N flux from BNF to the plant as opposed to the decreasing soil mineral N supply. Recognizing these concentration/dilution curves for atmospheric and soil N has three immediate implications. First, the atmospheric N concentration curve might indicate an upper benchmark for evaluating symbiosis performance during crop development. Second, the concentration pattern observed for BNF could potentially help to reverse the observed decline in seed protein concentration in modern soybean cultivars. Third, the N concentration/dilution curves for the individual N sources could be incorporated into crop models for estimating BNF at different crop biomass levels during soybean development.
publishDate 2018
dc.date.none.fl_str_mv 2018-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/90378
Santachiara, Gabriel; Salvagiotti, Fernando; Gerde, Jose Arnaldo; Rotundo, José Luis; Does biological nitrogen fixation modify soybean nitrogen dilution curves?; Elsevier Science; Field Crops Research; 223; 6-2018; 171-178
0378-4290
CONICET Digital
CONICET
url http://hdl.handle.net/11336/90378
identifier_str_mv Santachiara, Gabriel; Salvagiotti, Fernando; Gerde, Jose Arnaldo; Rotundo, José Luis; Does biological nitrogen fixation modify soybean nitrogen dilution curves?; Elsevier Science; Field Crops Research; 223; 6-2018; 171-178
0378-4290
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378429017316143
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fcr.2018.04.001
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613098917330944
score 13.070432