| |
|
|
 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
|
Registro completo
|
|
Biblioteca (s) : |
INIA Las Brujas. |
|
Fecha : |
15/06/2021 |
|
Actualizado : |
15/06/2021 |
|
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
|
Autor : |
ROMERO, J.M.; OTERO, A.; LAGORIO, M.G.; BERGER, A.; CORDON, G.B. |
|
Afiliación : |
JUAN M. ROMERO, Univ. Buenos Aires, Fac. de Ciencias Exactas y Naturales, Bs.As., Argentina; CONICET – Univ. Buenos Aires, Inst. Química Física de los Materiales, Medio Ambiente y Energía (INQUIMAE), Bs.As. Aires, Argentina.; ALVARO RICARDO OTERO CAMA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; M. GABRIELA LAGORIO, Univ. Buenos Aires, Fac. de Ciencias Exactas y Naturales, Bs.As., Argentina; CONICET – Univ. Buenos Aires, Inst. Química Física de los Materiales, Medio Ambiente y Energía (INQUIMAE), Bs.As. Aires, Argentina.; ANDRES GUSTAVO BERGER RICCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GABRIELA B. CORDON, Univ. Buenos Aires, Fac. de Agronomía, Bs.As., Argentina; CONICET – Univ. Buenos Aires, Inst. de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA), Bs.As. Aires, Argentina. |
|
Título : |
Canopy active fluorescence spectrum tracks ANPP changes upon irrigation treatments in soybean crop. |
|
Fecha de publicación : |
2021 |
|
Fuente / Imprenta : |
Remote Sensing of Environment, 15 September 2021, Volume 263, Article number 112525. Doi: https://doi.org/10.1016/j.rse.2021.112525 |
|
ISSN : |
0034-4257 |
|
DOI : |
10.1016/j.rse.2021.112525 |
|
Idioma : |
Inglés |
|
Notas : |
Article history: Received 7 October 2020; Received in revised form 4 April 2021; Accepted 22 May 2021; Available online 1 June 2021.
Corresponding author: Universidad de Buenos Aires, Facultad de Agronomía, Área de Educación Agropecuaria, Buenos Aires, Argentina.
E-mail addresses: aberger@inia.org.uy (A.G. Berger), gcordon@agro.uba.ar (G.B. Cordon).
This work was supported by Universidad de Buenos Aires (UBACyT 2018?2020, 20020170100037BA , UBACyT20020170200118BA ). INIA La Estanzuela and INIA Salto Grande provided research facilities and economic support (INIA project CS_48_0_00 and CS_42_0_00 ). The authors also thank Damian Janavel and Leonardo Silva for field assistance. M.G.L. and G.B.C. are researcher scientists of CONICET. J.M.R. developed this work with a fellowship from CONICET (Argentina). Andres Berger also receives support from SNI_2019_1_1009653 (Uruguay). |
|
Contenido : |
ABSTRACT.
Accurate estimation of aerial net primary production (ANPP) using remotely acquired data is one of the main challenges in both environmental monitoring and precision agriculture. Reflectance-based techniques have been widely used for decades, but detection of fluorescence emission by chlorophyll has emerged as a promising alternative in recent years. Although passive sun-induced fluorescence (SIF) monitoring has shown interesting results, the information it provides is limited to few wavelengths (Fraunhofer and telluric lines). On the other hand, active measurements of steady-state fluorescence and its spectral distribution cover the full-emission spectrum but have not been fully explored due to obvious experimental limitations. In this work we develop a novel active fluorescence measurement procedure, based on lamps and sensors mounted on a field tractor. This technique allowed the detection of the full spectrum of fluorescence emission of a plant crop for the first time in the literature. The main objective of this work was to analyze how the information based on reflectance and fluorescence, recorded by the new proposed methodology, tracks the differences caused by different irrigation treatments in the ANPP of three soybean varieties. We observed that reflectance-based vegetation indices showed limited sensitivity to these cumulative differences, as only EVI2, NDWI and SRWI were able to distinguish between rainfed and irrigation treatments in some few cases. Passive, irradiance-normalised SIF showed this same trend, but active fluorescence peak ratio (FRed/FFar-red) revealed statistically significant differences for the three cultivars studied. In addition, the latter showed a significant correlation with ANPP for two soybean varieties after correction for light re-absorption and scattering (p < 0.05, R2 > 0.5), which was observed for only EVI and foliar water status VIs among passive indicators. Active fluorescence measurements at leaf level by PAM fluorometry did not show differences between treatments in the upper part of the canopy but revealed a biomass-dependent decrease in PSII yield along the vertical axis. Our study demonstrated that fluorescence emission spectrum holds highly valuable information that might allow monitoring ANPP changes upon irrigation from remote sensing applications, and therefore should be carefully studied. Lastly, it highlights the potential of SIF retrieval at both O2-A and O2-B lines.
© 2021 Elsevier Inc. MenosABSTRACT.
Accurate estimation of aerial net primary production (ANPP) using remotely acquired data is one of the main challenges in both environmental monitoring and precision agriculture. Reflectance-based techniques have been widely used for decades, but detection of fluorescence emission by chlorophyll has emerged as a promising alternative in recent years. Although passive sun-induced fluorescence (SIF) monitoring has shown interesting results, the information it provides is limited to few wavelengths (Fraunhofer and telluric lines). On the other hand, active measurements of steady-state fluorescence and its spectral distribution cover the full-emission spectrum but have not been fully explored due to obvious experimental limitations. In this work we develop a novel active fluorescence measurement procedure, based on lamps and sensors mounted on a field tractor. This technique allowed the detection of the full spectrum of fluorescence emission of a plant crop for the first time in the literature. The main objective of this work was to analyze how the information based on reflectance and fluorescence, recorded by the new proposed methodology, tracks the differences caused by different irrigation treatments in the ANPP of three soybean varieties. We observed that reflectance-based vegetation indices showed limited sensitivity to these cumulative differences, as only EVI2, NDWI and SRWI were able to distinguish between rainfed and irrigation treatments in some few cases. Pa... Presentar Todo |
|
Palabras claves : |
Canopy active fluorescence; Fluorescence modeling; Irrigation; Plant monitoring; Remote sensing. |
|
Asunto categoría : |
F01 Cultivo |
|
Marc : |
LEADER 04232naa a2200265 a 4500
001 1062135
005 2021-06-15
008 2021 bl uuuu u00u1 u #d
022 $a0034-4257
024 7 $a10.1016/j.rse.2021.112525$2DOI
100 1 $aROMERO, J.M.
245 $aCanopy active fluorescence spectrum tracks ANPP changes upon irrigation treatments in soybean crop.$h[electronic resource]
260 $c2021
500 $aArticle history: Received 7 October 2020; Received in revised form 4 April 2021; Accepted 22 May 2021; Available online 1 June 2021. Corresponding author: Universidad de Buenos Aires, Facultad de Agronomía, Área de Educación Agropecuaria, Buenos Aires, Argentina. E-mail addresses: aberger@inia.org.uy (A.G. Berger), gcordon@agro.uba.ar (G.B. Cordon). This work was supported by Universidad de Buenos Aires (UBACyT 2018?2020, 20020170100037BA , UBACyT20020170200118BA ). INIA La Estanzuela and INIA Salto Grande provided research facilities and economic support (INIA project CS_48_0_00 and CS_42_0_00 ). The authors also thank Damian Janavel and Leonardo Silva for field assistance. M.G.L. and G.B.C. are researcher scientists of CONICET. J.M.R. developed this work with a fellowship from CONICET (Argentina). Andres Berger also receives support from SNI_2019_1_1009653 (Uruguay).
520 $aABSTRACT. Accurate estimation of aerial net primary production (ANPP) using remotely acquired data is one of the main challenges in both environmental monitoring and precision agriculture. Reflectance-based techniques have been widely used for decades, but detection of fluorescence emission by chlorophyll has emerged as a promising alternative in recent years. Although passive sun-induced fluorescence (SIF) monitoring has shown interesting results, the information it provides is limited to few wavelengths (Fraunhofer and telluric lines). On the other hand, active measurements of steady-state fluorescence and its spectral distribution cover the full-emission spectrum but have not been fully explored due to obvious experimental limitations. In this work we develop a novel active fluorescence measurement procedure, based on lamps and sensors mounted on a field tractor. This technique allowed the detection of the full spectrum of fluorescence emission of a plant crop for the first time in the literature. The main objective of this work was to analyze how the information based on reflectance and fluorescence, recorded by the new proposed methodology, tracks the differences caused by different irrigation treatments in the ANPP of three soybean varieties. We observed that reflectance-based vegetation indices showed limited sensitivity to these cumulative differences, as only EVI2, NDWI and SRWI were able to distinguish between rainfed and irrigation treatments in some few cases. Passive, irradiance-normalised SIF showed this same trend, but active fluorescence peak ratio (FRed/FFar-red) revealed statistically significant differences for the three cultivars studied. In addition, the latter showed a significant correlation with ANPP for two soybean varieties after correction for light re-absorption and scattering (p < 0.05, R2 > 0.5), which was observed for only EVI and foliar water status VIs among passive indicators. Active fluorescence measurements at leaf level by PAM fluorometry did not show differences between treatments in the upper part of the canopy but revealed a biomass-dependent decrease in PSII yield along the vertical axis. Our study demonstrated that fluorescence emission spectrum holds highly valuable information that might allow monitoring ANPP changes upon irrigation from remote sensing applications, and therefore should be carefully studied. Lastly, it highlights the potential of SIF retrieval at both O2-A and O2-B lines. © 2021 Elsevier Inc.
653 $aCanopy active fluorescence
653 $aFluorescence modeling
653 $aIrrigation
653 $aPlant monitoring
653 $aRemote sensing
700 1 $aOTERO, A.
700 1 $aLAGORIO, M.G.
700 1 $aBERGER, A.
700 1 $aCORDON, G.B.
773 $tRemote Sensing of Environment, 15 September 2021, Volume 263, Article number 112525. Doi: https://doi.org/10.1016/j.rse.2021.112525
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Las Brujas (LB) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
|
| Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
|
Registro completo
|
|
Biblioteca (s) : |
INIA La Estanzuela. |
|
Fecha actual : |
21/02/2017 |
|
Actualizado : |
04/07/2017 |
|
Tipo de producción científica : |
Abstracts/Resúmenes |
|
Autor : |
ESPIGOLAN, R.; BALDI, F.; BANCHERO, G.; BRITO, G.; LA MANNA, A.; ALBUQUERQUE, L.G. |
|
Afiliación : |
RAFAEL ESPIGOLAN, Aluno de graduação do curso de Zootecnia da FCAVJ, Brasil.; FERNANDO BALDI, Aluno de Pós-doutorado do Departamento de Genética e Melhoramento Animal/FCAVJ. Bolsista da CAPES, Brasil.; GEORGGET ELIZABETH BANCHERO HUNZIKER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUSTAVO WALTER BRITO DIAZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALEJANDRO FRANCISCO LA MANNA ALONSO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUCIA GALVÃO DE ALBUQUERQUE, LUCIA GALVÃO DE ALBUQUERQUE Afiliación: Professora Adjunta do Departamento de Genética e Melhoramento Animal. Bolsista do CNPQ e INCTA, Brasil. |
|
Título : |
Aplicação de modelos não-lineares para o ajuste de características. |
|
Fecha de publicación : |
2010 |
|
Fuente / Imprenta : |
REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 47., 2010, Salvador, BA. Empreendedorismo e Progresso Científicos na Zootecnia
Brasileira de Vanguarda Brasília, DF: Sociedade Brasileira de Zootecnia: UEM, 2010. Anais |
|
Idioma : |
Portugués |
|
Contenido : |
Resumo: Objetivou-se, com este trabalho, estudar o ajuste de dados de peso, altura e área de olho de
lombo em bovinos da raça Hereford utilizando os modelos não-lineares de Brody, Gompertz, Logístico e
Von Bertalanffy. Foram utilizados dados de 240 animais castrados. As mensurações de peso, altura e
área de olho de lombo foram feitas periodicamente após a desmama e até o abate (500 kg). Todas as
funções não-lineares alcançaram a convergência. As funções de Gompertz, Logístico e Von Bertalanffy
apresentaram melhores ajustes com destaque para o modelo não-linear Logístico que estimou parâmetros
com valores bem próximos ao que foi observado. |
|
Palabras claves : |
ÁREA DE OJO DE LOMO; CURVA DE CRECIMIENTO; PESO VIVO. |
|
Thesagro : |
GANADO DE CARNE. |
|
Asunto categoría : |
L01 Ganadería |
|
Marc : |
LEADER 01469nam a2200217 a 4500
001 1056693
005 2017-07-04
008 2010 bl uuuu u01u1 u #d
100 1 $aESPIGOLAN, R.
245 $aAplicação de modelos não-lineares para o ajuste de características.$h[electronic resource]
260 $aREUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 47., 2010, Salvador, BA. Empreendedorismo e Progresso Científicos na Zootecnia Brasileira de Vanguarda Brasília, DF: Sociedade Brasileira de Zootecnia: UEM, 2010. Anais$c2010
520 $aResumo: Objetivou-se, com este trabalho, estudar o ajuste de dados de peso, altura e área de olho de lombo em bovinos da raça Hereford utilizando os modelos não-lineares de Brody, Gompertz, Logístico e Von Bertalanffy. Foram utilizados dados de 240 animais castrados. As mensurações de peso, altura e área de olho de lombo foram feitas periodicamente após a desmama e até o abate (500 kg). Todas as funções não-lineares alcançaram a convergência. As funções de Gompertz, Logístico e Von Bertalanffy apresentaram melhores ajustes com destaque para o modelo não-linear Logístico que estimou parâmetros com valores bem próximos ao que foi observado.
650 $aGANADO DE CARNE
653 $aÁREA DE OJO DE LOMO
653 $aCURVA DE CRECIMIENTO
653 $aPESO VIVO
700 1 $aBALDI, F.
700 1 $aBANCHERO, G.
700 1 $aBRITO, G.
700 1 $aLA MANNA, A.
700 1 $aALBUQUERQUE, L.G.
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA La Estanzuela (LE) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
| Expresión de búsqueda válido. Check! |
|
|
