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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
15/06/2021 |
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Actualizado : |
15/06/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
ROMERO, J.M.; OTERO, A.; LAGORIO, M.G.; BERGER, A.; CORDON, G.B. |
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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. |
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Título : |
Canopy active fluorescence spectrum tracks ANPP changes upon irrigation treatments in soybean crop. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Remote Sensing of Environment, 15 September 2021, Volume 263, Article number 112525. Doi: https://doi.org/10.1016/j.rse.2021.112525 |
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ISSN : |
0034-4257 |
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DOI : |
10.1016/j.rse.2021.112525 |
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Idioma : |
Inglés |
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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). |
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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 |
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Palabras claves : |
Canopy active fluorescence; Fluorescence modeling; Irrigation; Plant monitoring; Remote sensing. |
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Asunto categoría : |
F01 Cultivo |
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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
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
21/12/2023 |
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Actualizado : |
21/12/2023 |
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Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
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Autor : |
VICENTE, E.; RODRÍGUEZ, G.; GHELFI, B.; LADO, J.; ARRUABARRENA, A.; ARIAS, M.; GONZÁLEZ-ARCOS, M.; ZUNINI, N. |
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Afiliación : |
CARLOS ESTEBAN VICENTE CASTRO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUSTAVO ROBERTO RODRÍGUEZ LAGOUTTE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSE BRIAN GHELFI DE SOUZA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOANNA LADO LINDNER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANA ARRUABARRENA PASCOVICH, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIANA ARIAS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MATIAS GONZÁLEZ-ARCOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NICOLAS DANIEL ZUNINI DEL VALLE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
¿Cómo se obtienen las variedades de boniato?- |
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Complemento del título : |
Hortifruticultura. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Revista INIA Uruguay, Diciembre 2023, no.75 p.68-70. |
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Serie : |
(Revista INIA; 75). |
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ISSN : |
1510-9011 |
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Idioma : |
Español |
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Contenido : |
Las variedades de boniato más utilizadas en Uruguay fueron generadas por el mejoramiento genético nacional. Las actividades de investigación
se iniciaron en 1973 colectando poblaciones locales e introduciendo variedades extranjeras. |
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Palabras claves : |
SISTEMA VEGETAL INTENSIVO - INIA. |
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Thesagro : |
BONIATO; IPOMOEA BATATAS; VARIEDADES. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/17459/1/Revista-INIA-75-dic-2023-16.pdf
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Marc : |
LEADER 00978naa a2200277 a 4500
001 1064421
005 2023-12-21
008 2023 bl uuuu u00u1 u #d
022 $a1510-9011
100 1 $aVICENTE, E.
245 $a¿Cómo se obtienen las variedades de boniato?-$h[electronic resource]
260 $c2023
490 $a(Revista INIA; 75).
520 $aLas variedades de boniato más utilizadas en Uruguay fueron generadas por el mejoramiento genético nacional. Las actividades de investigación se iniciaron en 1973 colectando poblaciones locales e introduciendo variedades extranjeras.
650 $aBONIATO
650 $aIPOMOEA BATATAS
650 $aVARIEDADES
653 $aSISTEMA VEGETAL INTENSIVO - INIA
700 1 $aRODRÍGUEZ, G.
700 1 $aGHELFI, B.
700 1 $aLADO, J.
700 1 $aARRUABARRENA, A.
700 1 $aARIAS, M.
700 1 $aGONZÁLEZ-ARCOS, M.
700 1 $aZUNINI, N.
773 $tRevista INIA Uruguay, Diciembre 2023, no.75 p.68-70.
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