Deciphering the link between SIF, ANPP and RUE dynamics in perennial forage crop mixtures

Autores
Mattera, Juan; Romero, Juan Manuel; Irisarri, Jorge Gonzalo Nicolás; Grimoldi, Agustín Alberto; Cordon, Gabriela B.
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Remote sensing estimation of aerial net primary production (ANPP) is a key challenge in precision agriculture and environmental monitoring. The Monteith model serves as the main conceptual frameworkin pastures.Sun-induced fluorescence (SIF), closely linked to photosynthesis, is a promising candidate for ANPP estimations when radiation use efficiency (RUE) undergoes physiological changes. Our aim was to analyze SIF´s ability to estimate ANPP and RUE in forage covers with different structural and physiological characteristics. Moreover, we aimed to determine the underlying mechanisms driving these correlations. We performed a proximal sensing experiment by generating differential forage covers (alfalfa, tall fescue, and mixtures), measured across different seasons. Alfalfa and mixture plots have shown fairly constant RUE and fluorescence emission efficiency (SIFYield) upon APAR variations. This caused SIF to be an interesting monitor of ANPP (R2 ∼ 0.5), because of their strong link with APAR. On the other hand, tall fescue showed decreasing RUE when increasing APAR, which weakens ANPP-APAR correlation (R2 ∼ 0.38). Also, reduced escape fraction weakens SIF-APAR correlation (R2 ∼ 0.09). Consequently, the ANPP-SIF correlation disappears (R2 ∼ 0.02). This is one of the first remote sensing studies analyzing the biomass available for harvest in a field managed according to forage agronomic criteria. Our findings support the use of SIF as a monitor of ANPP of forage crops when RUE and SIF Yield can be assumed to be constant upon APAR variations. Nevertheless, correlations may not be extrapolated between different crops; careful attention must be paid to RUE variations upon APAR.
EEA Pergamino
Fil: Mattera, Juan. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Bovinos; Argentina
Fil: Mattera, Juan. Universidad Nacional de San Antonio de Areco; Argentina
Fil: Romero, J. M. Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Química Inorgánica, Analítica y Química Física; Argentina
Fil: Romero, J. M. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Fisiológicas y Ecológicas vinculadas a la Agricultura; Argentina
Fil: Irisarri, J.G.N. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Fisiológicas y Ecológicas vinculadas a la Agricultura; Argentina
Fil: Irisarri, J.G.N. University of Wyoming. Department of Ecosystem Science and Management; Estados Unidos
Fil: Irisarri, J.G.N. Universidad de Buenos Aires. Facultad de Agronomía. Cátedra de Forrajicultura; Argentina
Fil: Grimoldi, A. A. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Fisiológicas y Ecológicas vinculadas a la Agricultura; Argentina
Fil: Grimoldi, A. A. Universidad de Buenos Aires. Facultad de Agronomía. Catedra de Forrajicultura; Argentina
Fil: Cordon, G. B. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Fisiológicas y Ecológicas vinculadas a la Agricultura; Argentina
Fil: Cordon, G. B. Universidad de Buenos Aires. Facultad de Agronomía. Área de Educación Agropecuaria y Ambiental; Argentina
Fuente
Agricultural and Forest Meteorology 369 : 110569. (June 2025)
Materia
Forrajes
Cultivos
Productividad Primaria
Fluorescencia
Teledetección
Forage
Crops
Primary Productivity
Fluorescence
Remote Sensing
Sun-induced Fluorescence
Radiation Use Efficiency
Nivel de accesibilidad
acceso restringido
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/22094
Acceder
id INTADig_b2f027f5b9c1f8683b73070926da87ce
oai_identifier_str oai:localhost:20.500.12123/22094
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Deciphering the link between SIF, ANPP and RUE dynamics in perennial forage crop mixturesMattera, JuanRomero, Juan ManuelIrisarri, Jorge Gonzalo NicolásGrimoldi, Agustín AlbertoCordon, Gabriela B.ForrajesCultivosProductividad PrimariaFluorescenciaTeledetecciónForageCropsPrimary ProductivityFluorescenceRemote SensingSun-induced FluorescenceRadiation Use EfficiencyRemote sensing estimation of aerial net primary production (ANPP) is a key challenge in precision agriculture and environmental monitoring. The Monteith model serves as the main conceptual frameworkin pastures.Sun-induced fluorescence (SIF), closely linked to photosynthesis, is a promising candidate for ANPP estimations when radiation use efficiency (RUE) undergoes physiological changes. Our aim was to analyze SIF´s ability to estimate ANPP and RUE in forage covers with different structural and physiological characteristics. Moreover, we aimed to determine the underlying mechanisms driving these correlations. We performed a proximal sensing experiment by generating differential forage covers (alfalfa, tall fescue, and mixtures), measured across different seasons. Alfalfa and mixture plots have shown fairly constant RUE and fluorescence emission efficiency (SIFYield) upon APAR variations. This caused SIF to be an interesting monitor of ANPP (R2 ∼ 0.5), because of their strong link with APAR. On the other hand, tall fescue showed decreasing RUE when increasing APAR, which weakens ANPP-APAR correlation (R2 ∼ 0.38). Also, reduced escape fraction weakens SIF-APAR correlation (R2 ∼ 0.09). Consequently, the ANPP-SIF correlation disappears (R2 ∼ 0.02). This is one of the first remote sensing studies analyzing the biomass available for harvest in a field managed according to forage agronomic criteria. Our findings support the use of SIF as a monitor of ANPP of forage crops when RUE and SIF Yield can be assumed to be constant upon APAR variations. Nevertheless, correlations may not be extrapolated between different crops; careful attention must be paid to RUE variations upon APAR.EEA PergaminoFil: Mattera, Juan. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Bovinos; ArgentinaFil: Mattera, Juan. Universidad Nacional de San Antonio de Areco; ArgentinaFil: Romero, J. M. Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Química Inorgánica, Analítica y Química Física; ArgentinaFil: Romero, J. M. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Fisiológicas y Ecológicas vinculadas a la Agricultura; ArgentinaFil: Irisarri, J.G.N. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Fisiológicas y Ecológicas vinculadas a la Agricultura; ArgentinaFil: Irisarri, J.G.N. University of Wyoming. Department of Ecosystem Science and Management; Estados UnidosFil: Irisarri, J.G.N. Universidad de Buenos Aires. Facultad de Agronomía. Cátedra de Forrajicultura; ArgentinaFil: Grimoldi, A. A. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Fisiológicas y Ecológicas vinculadas a la Agricultura; ArgentinaFil: Grimoldi, A. A. Universidad de Buenos Aires. Facultad de Agronomía. Catedra de Forrajicultura; ArgentinaFil: Cordon, G. B. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Fisiológicas y Ecológicas vinculadas a la Agricultura; ArgentinaFil: Cordon, G. B. Universidad de Buenos Aires. Facultad de Agronomía. Área de Educación Agropecuaria y Ambiental; ArgentinaElsevier2025-04-29T12:09:30Z2025-04-29T12:09:30Z2025-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/22094https://www.sciencedirect.com/science/article/abs/pii/S01681923250018930168-19231873-2240https://doi.org/10.1016/j.agrformet.2025.110569Agricultural and Forest Meteorology 369 : 110569. (June 2025)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/2019-PE-E1-I007-001, Incremento sostenible de la producción y utilización de pasturas y forrajes conservadosinfo:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-10-23T11:19:30Zoai:localhost:20.500.12123/22094instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-23 11:19:30.941INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Deciphering the link between SIF, ANPP and RUE dynamics in perennial forage crop mixtures
title Deciphering the link between SIF, ANPP and RUE dynamics in perennial forage crop mixtures
spellingShingle Deciphering the link between SIF, ANPP and RUE dynamics in perennial forage crop mixtures
Mattera, Juan
Forrajes
Cultivos
Productividad Primaria
Fluorescencia
Teledetección
Forage
Crops
Primary Productivity
Fluorescence
Remote Sensing
Sun-induced Fluorescence
Radiation Use Efficiency
title_short Deciphering the link between SIF, ANPP and RUE dynamics in perennial forage crop mixtures
title_full Deciphering the link between SIF, ANPP and RUE dynamics in perennial forage crop mixtures
title_fullStr Deciphering the link between SIF, ANPP and RUE dynamics in perennial forage crop mixtures
title_full_unstemmed Deciphering the link between SIF, ANPP and RUE dynamics in perennial forage crop mixtures
title_sort Deciphering the link between SIF, ANPP and RUE dynamics in perennial forage crop mixtures
dc.creator.none.fl_str_mv Mattera, Juan
Romero, Juan Manuel
Irisarri, Jorge Gonzalo Nicolás
Grimoldi, Agustín Alberto
Cordon, Gabriela B.
author Mattera, Juan
author_facet Mattera, Juan
Romero, Juan Manuel
Irisarri, Jorge Gonzalo Nicolás
Grimoldi, Agustín Alberto
Cordon, Gabriela B.
author_role author
author2 Romero, Juan Manuel
Irisarri, Jorge Gonzalo Nicolás
Grimoldi, Agustín Alberto
Cordon, Gabriela B.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Forrajes
Cultivos
Productividad Primaria
Fluorescencia
Teledetección
Forage
Crops
Primary Productivity
Fluorescence
Remote Sensing
Sun-induced Fluorescence
Radiation Use Efficiency
topic Forrajes
Cultivos
Productividad Primaria
Fluorescencia
Teledetección
Forage
Crops
Primary Productivity
Fluorescence
Remote Sensing
Sun-induced Fluorescence
Radiation Use Efficiency
dc.description.none.fl_txt_mv Remote sensing estimation of aerial net primary production (ANPP) is a key challenge in precision agriculture and environmental monitoring. The Monteith model serves as the main conceptual frameworkin pastures.Sun-induced fluorescence (SIF), closely linked to photosynthesis, is a promising candidate for ANPP estimations when radiation use efficiency (RUE) undergoes physiological changes. Our aim was to analyze SIF´s ability to estimate ANPP and RUE in forage covers with different structural and physiological characteristics. Moreover, we aimed to determine the underlying mechanisms driving these correlations. We performed a proximal sensing experiment by generating differential forage covers (alfalfa, tall fescue, and mixtures), measured across different seasons. Alfalfa and mixture plots have shown fairly constant RUE and fluorescence emission efficiency (SIFYield) upon APAR variations. This caused SIF to be an interesting monitor of ANPP (R2 ∼ 0.5), because of their strong link with APAR. On the other hand, tall fescue showed decreasing RUE when increasing APAR, which weakens ANPP-APAR correlation (R2 ∼ 0.38). Also, reduced escape fraction weakens SIF-APAR correlation (R2 ∼ 0.09). Consequently, the ANPP-SIF correlation disappears (R2 ∼ 0.02). This is one of the first remote sensing studies analyzing the biomass available for harvest in a field managed according to forage agronomic criteria. Our findings support the use of SIF as a monitor of ANPP of forage crops when RUE and SIF Yield can be assumed to be constant upon APAR variations. Nevertheless, correlations may not be extrapolated between different crops; careful attention must be paid to RUE variations upon APAR.
EEA Pergamino
Fil: Mattera, Juan. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Bovinos; Argentina
Fil: Mattera, Juan. Universidad Nacional de San Antonio de Areco; Argentina
Fil: Romero, J. M. Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Química Inorgánica, Analítica y Química Física; Argentina
Fil: Romero, J. M. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Fisiológicas y Ecológicas vinculadas a la Agricultura; Argentina
Fil: Irisarri, J.G.N. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Fisiológicas y Ecológicas vinculadas a la Agricultura; Argentina
Fil: Irisarri, J.G.N. University of Wyoming. Department of Ecosystem Science and Management; Estados Unidos
Fil: Irisarri, J.G.N. Universidad de Buenos Aires. Facultad de Agronomía. Cátedra de Forrajicultura; Argentina
Fil: Grimoldi, A. A. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Fisiológicas y Ecológicas vinculadas a la Agricultura; Argentina
Fil: Grimoldi, A. A. Universidad de Buenos Aires. Facultad de Agronomía. Catedra de Forrajicultura; Argentina
Fil: Cordon, G. B. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Fisiológicas y Ecológicas vinculadas a la Agricultura; Argentina
Fil: Cordon, G. B. Universidad de Buenos Aires. Facultad de Agronomía. Área de Educación Agropecuaria y Ambiental; Argentina
description Remote sensing estimation of aerial net primary production (ANPP) is a key challenge in precision agriculture and environmental monitoring. The Monteith model serves as the main conceptual frameworkin pastures.Sun-induced fluorescence (SIF), closely linked to photosynthesis, is a promising candidate for ANPP estimations when radiation use efficiency (RUE) undergoes physiological changes. Our aim was to analyze SIF´s ability to estimate ANPP and RUE in forage covers with different structural and physiological characteristics. Moreover, we aimed to determine the underlying mechanisms driving these correlations. We performed a proximal sensing experiment by generating differential forage covers (alfalfa, tall fescue, and mixtures), measured across different seasons. Alfalfa and mixture plots have shown fairly constant RUE and fluorescence emission efficiency (SIFYield) upon APAR variations. This caused SIF to be an interesting monitor of ANPP (R2 ∼ 0.5), because of their strong link with APAR. On the other hand, tall fescue showed decreasing RUE when increasing APAR, which weakens ANPP-APAR correlation (R2 ∼ 0.38). Also, reduced escape fraction weakens SIF-APAR correlation (R2 ∼ 0.09). Consequently, the ANPP-SIF correlation disappears (R2 ∼ 0.02). This is one of the first remote sensing studies analyzing the biomass available for harvest in a field managed according to forage agronomic criteria. Our findings support the use of SIF as a monitor of ANPP of forage crops when RUE and SIF Yield can be assumed to be constant upon APAR variations. Nevertheless, correlations may not be extrapolated between different crops; careful attention must be paid to RUE variations upon APAR.
publishDate 2025
dc.date.none.fl_str_mv 2025-04-29T12:09:30Z
2025-04-29T12:09:30Z
2025-06
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/20.500.12123/22094
https://www.sciencedirect.com/science/article/abs/pii/S0168192325001893
0168-1923
1873-2240
https://doi.org/10.1016/j.agrformet.2025.110569
url http://hdl.handle.net/20.500.12123/22094
https://www.sciencedirect.com/science/article/abs/pii/S0168192325001893
https://doi.org/10.1016/j.agrformet.2025.110569
identifier_str_mv 0168-1923
1873-2240
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repograntAgreement/INTA/2019-PE-E1-I007-001, Incremento sostenible de la producción y utilización de pasturas y forrajes conservados
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Agricultural and Forest Meteorology 369 : 110569. (June 2025)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.943857

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