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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
20/08/2021 |
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Actualizado : |
20/08/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
IRISARRI, J.G.N.; TEXEIRA, M.; OESTERHELD, M.; VERÓN, S.R.; DELLA NAVE, F.; PARUELO, J. |
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Afiliación : |
J. GONZALO N. IRISARRI, Cátedra de Forrajicultura, Departamento de Producción Animal, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina.; MARCOS TEXEIRA, Departamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina.; MARTÍN OESTERHELD, Cátedra de Ecología, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina.; SANTIAGO R. VERÓN, Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA), Departamento de Métodos Cuantitativos y Sistemas de. Información, Facultad de Agronomía, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina.; FACUNDO DELLA NAVE, Cátedra de Ecología, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina.; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Dpto. Métodos Cuantitativos y Sistemas de Información, Fac. Agronomía, LART IFEVA, Univ. Bs.As., CONICET, Bs.As. Argentina; Fac. Ciencias, IECA, Univ. de la República, Montevideo, Uruguay. |
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Título : |
Discriminating the biophysical signal from human-induced effects on long-term primary production dynamics. The case of Patagonia. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Global Change Biology, 2021, volume 27, Issue 18, Pages 4381 - 4391. Doi: https://doi.org/10.1111/gcb.15733 |
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ISSN : |
1354-1013 |
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DOI : |
10.1111/gcb.15733 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 20 January 2021, Accepted 13 May 2021, To be published September 2021.
Supplementary material.
Corresponging author: Irisarri, J.G.N.; Cátedra de Forrajicultura, Departamento de Producción Animal, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina; email:irisarri@agro.uba.ar |
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Contenido : |
ABSTRACT - The temporal trend of aboveground net primary production (ANPP) is frequently used to estimate the effect of humans on ecosystems. In water-limited ecosystems, like most grazing areas in the world, the effect of humans act upon ANPP in combination with environmental variations. Our main objective was to quantify long-term (1981?2012) changes of ANPP and discriminate the causes of these changes between environmental and human at a subcontinental scale, across vast areas of Patagonia. We estimated ANPP through a radiative model based on remote sensing data. Then, we evaluated the relation between ANPP and environmental interannual variations of two hierarchically related factors: El Niño Southern Oscillation (ENSO) through the Southern Oscillation Index (SOI), and precipitation. We described the effect of humans through the shape of the temporal trends of the residuals (RESTREND) of the environmental model and quantified human relative impact through the RESTREND: ANPP trend ratio. ANPP interannual variation was significantly explained by ENSO (through SOI) and precipitation in 65% of the study area. The SOI had a positive association with annual precipitation. The association between ANPP and annual precipitation was positive. RESTREND analysis was statistically significant in 92% of the area where the tested environmental model worked, representing 60% of the study area, and it was mostly negative. However, its magnitude, revealed through the RESTREND: ANPP trend ratio, was relatively mild. Our analysis revealed that most of ANPP trends were associated with climate and that even when human density is low, its incidence seems to be mainly negative. © 2021 John Wiley & Sons Ltd. MenosABSTRACT - The temporal trend of aboveground net primary production (ANPP) is frequently used to estimate the effect of humans on ecosystems. In water-limited ecosystems, like most grazing areas in the world, the effect of humans act upon ANPP in combination with environmental variations. Our main objective was to quantify long-term (1981?2012) changes of ANPP and discriminate the causes of these changes between environmental and human at a subcontinental scale, across vast areas of Patagonia. We estimated ANPP through a radiative model based on remote sensing data. Then, we evaluated the relation between ANPP and environmental interannual variations of two hierarchically related factors: El Niño Southern Oscillation (ENSO) through the Southern Oscillation Index (SOI), and precipitation. We described the effect of humans through the shape of the temporal trends of the residuals (RESTREND) of the environmental model and quantified human relative impact through the RESTREND: ANPP trend ratio. ANPP interannual variation was significantly explained by ENSO (through SOI) and precipitation in 65% of the study area. The SOI had a positive association with annual precipitation. The association between ANPP and annual precipitation was positive. RESTREND analysis was statistically significant in 92% of the area where the tested environmental model worked, representing 60% of the study area, and it was mostly negative. However, its magnitude, revealed through the RESTREND: ANPP trend ... Presentar Todo |
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Palabras claves : |
Ecosystems; ENSO; Environmental variations; GIMMS; NDVI; RESTREND; SOI. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 02961naa a2200301 a 4500
001 1062363
005 2021-08-20
008 2021 bl uuuu u00u1 u #d
022 $a1354-1013
024 7 $a10.1111/gcb.15733$2DOI
100 1 $aIRISARRI, J.G.N.
245 $aDiscriminating the biophysical signal from human-induced effects on long-term primary production dynamics. The case of Patagonia.$h[electronic resource]
260 $c2021
500 $aArticle history: Received 20 January 2021, Accepted 13 May 2021, To be published September 2021. Supplementary material. Corresponging author: Irisarri, J.G.N.; Cátedra de Forrajicultura, Departamento de Producción Animal, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina; email:irisarri@agro.uba.ar
520 $aABSTRACT - The temporal trend of aboveground net primary production (ANPP) is frequently used to estimate the effect of humans on ecosystems. In water-limited ecosystems, like most grazing areas in the world, the effect of humans act upon ANPP in combination with environmental variations. Our main objective was to quantify long-term (1981?2012) changes of ANPP and discriminate the causes of these changes between environmental and human at a subcontinental scale, across vast areas of Patagonia. We estimated ANPP through a radiative model based on remote sensing data. Then, we evaluated the relation between ANPP and environmental interannual variations of two hierarchically related factors: El Niño Southern Oscillation (ENSO) through the Southern Oscillation Index (SOI), and precipitation. We described the effect of humans through the shape of the temporal trends of the residuals (RESTREND) of the environmental model and quantified human relative impact through the RESTREND: ANPP trend ratio. ANPP interannual variation was significantly explained by ENSO (through SOI) and precipitation in 65% of the study area. The SOI had a positive association with annual precipitation. The association between ANPP and annual precipitation was positive. RESTREND analysis was statistically significant in 92% of the area where the tested environmental model worked, representing 60% of the study area, and it was mostly negative. However, its magnitude, revealed through the RESTREND: ANPP trend ratio, was relatively mild. Our analysis revealed that most of ANPP trends were associated with climate and that even when human density is low, its incidence seems to be mainly negative. © 2021 John Wiley & Sons Ltd.
653 $aEcosystems
653 $aENSO
653 $aEnvironmental variations
653 $aGIMMS
653 $aNDVI
653 $aRESTREND
653 $aSOI
700 1 $aTEXEIRA, M.
700 1 $aOESTERHELD, M.
700 1 $aVERÓN, S.R.
700 1 $aDELLA NAVE, F.
700 1 $aPARUELO, J.
773 $tGlobal Change Biology, 2021, volume 27, Issue 18, Pages 4381 - 4391. Doi: https://doi.org/10.1111/gcb.15733
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INIA Las Brujas (LB) |
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
21/02/2014 |
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Actualizado : |
01/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
B - 2 |
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Autor : |
COZZOLINO, D.; DELUCCHI, M.I.; KHOLI, M.; VÁZQUEZ, D. |
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Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA INES DELUCCHI ZAPARRART, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MOHAM KHOLI, MOHAM, International Center for Wheat and Maize Improvement (CIMMYT).; DANIEL VÁZQUEZ PEYRONEL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Use of near infrared reflectance spectroscopy to evaluate quality characteristics in whole-wheat grain. [Uso de la espectroscopía de reflectancia en el infrarrojo cercano para evaluar características de calidad en trigo]. |
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Fecha de publicación : |
2006 |
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Fuente / Imprenta : |
Agricultura Técnica, December 2006, Volume 66, Issue 4, Pages 370-375. |
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DOI : |
10.4067/S0365-28072006000400005 |
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Idioma : |
Inglés |
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Notas : |
Article history:Recibido: 17 de octubre de 2005/Aprobado: 30 de marzo de 2006. |
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Contenido : |
ABSTRACT:
The aim of this work was to explore the potential of visible (Vis) and near infrared reflectance (NIR) spectroscopy to measure quality characteristics in whole grain wheat (Triticum aestivum L.) as a tool in breeding programs. A total of 100 samples were analyzed by the reference methods for crude protein (CP), wet gluten (WG) and sodium dodecyl sulfate (SDS) sedimentation test. Whole grain samples were scanned in a NIR monochromator instrument (400-2500 nm) in reflectance. Partial least squares (PLS) were used to develop calibration equations for the quality characteristics in whole wheat. Calibration models were validated using an independent set of samples (n = 50) randomly selected from the population set. The uncertainty of the PLS models was evaluated by the standard error of prediction (SEP). The SEP obtained were 0.35% for CP, 2.04 for SDS and 4.14% for WG. It was concluded that NIR spectroscopy might be used as a screening tool to segregate early generations of wheat genotypes. At a later stage is needed to improve the accuracy of the NIR calibrations, broadening the calibration spectra with the incorporation of more genotypes and different crop years.
RESUMEN:
El objetivo de este trabajo fue explorar el potencial de la espectroscopía en el visible (Vis) e infrarrojo cercano (NIR) para medir características de calidad en el trigo (Triticum aestivum L.) para su uso en programas de mejoramiento. Cien muestras fueron analizadas por el método de referencia para proteína cruda (CP), gluten húmedo (WG) y sulfato de dodecil de sodio (SDS) o prueba de sedimentación. Las muestras de trigo se analizaron en un instrumento NIR (400-2500 nm) en reflectancia. El método de los cuadrados mínimos parciales (PLS) fue utilizado para desarrollar las ecuaciones de calibración para las características de calidad en trigo. Los modelos de calibración se validaron utilizando un conjunto independiente de muestras (n = 50) aleatoriamente escogido del conjunto de la población. La incertidumbre de los modelos PLS de calibración fue evaluada usando el error estándar de la predicción (SEP). El SEP obtenido fue de 0,35% para CP, 2,04 para SDS y 4,14% para WG. Se concluyó que la espectroscopía de NIR podría utilizarse como una herramienta de selección para segregar genotipos de trigo en generaciones tempranas. En una etapa posterior se necesita mejorar la precisión de los análisis NIR, ampliando el espectro de calibración con la incorporación de más genotipos y diferentes años de cultivo. MenosABSTRACT:
The aim of this work was to explore the potential of visible (Vis) and near infrared reflectance (NIR) spectroscopy to measure quality characteristics in whole grain wheat (Triticum aestivum L.) as a tool in breeding programs. A total of 100 samples were analyzed by the reference methods for crude protein (CP), wet gluten (WG) and sodium dodecyl sulfate (SDS) sedimentation test. Whole grain samples were scanned in a NIR monochromator instrument (400-2500 nm) in reflectance. Partial least squares (PLS) were used to develop calibration equations for the quality characteristics in whole wheat. Calibration models were validated using an independent set of samples (n = 50) randomly selected from the population set. The uncertainty of the PLS models was evaluated by the standard error of prediction (SEP). The SEP obtained were 0.35% for CP, 2.04 for SDS and 4.14% for WG. It was concluded that NIR spectroscopy might be used as a screening tool to segregate early generations of wheat genotypes. At a later stage is needed to improve the accuracy of the NIR calibrations, broadening the calibration spectra with the incorporation of more genotypes and different crop years.
RESUMEN:
El objetivo de este trabajo fue explorar el potencial de la espectroscopía en el visible (Vis) e infrarrojo cercano (NIR) para medir características de calidad en el trigo (Triticum aestivum L.) para su uso en programas de mejoramiento. Cien muestras fueron analizadas por el método de refer... Presentar Todo |
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Palabras claves : |
GLUTEN HÚMEDO; GRAIN QUALITY; GRANO DE TRIGO; PROTEIN; SDS; WET GLUTEN; WHOLE WHEAT. |
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Thesagro : |
NIRS; PROTEÍNA; TRIGO; TRITICUM AESTIVUM. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13383/1/Uso-de-la-espectroscopia-de-reflectancia-en-el-inf.pdf
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Marc : |
LEADER 03624naa a2200313 a 4500
001 1034984
005 2019-10-01
008 2006 bl uuuu u00u1 u #d
024 7 $a10.4067/S0365-28072006000400005$2DOI
100 1 $aCOZZOLINO, D.
245 $aUse of near infrared reflectance spectroscopy to evaluate quality characteristics in whole-wheat grain. [Uso de la espectroscopía de reflectancia en el infrarrojo cercano para evaluar características de calidad en trigo].$h[electronic resource]
260 $c2006
500 $aArticle history:Recibido: 17 de octubre de 2005/Aprobado: 30 de marzo de 2006.
520 $aABSTRACT: The aim of this work was to explore the potential of visible (Vis) and near infrared reflectance (NIR) spectroscopy to measure quality characteristics in whole grain wheat (Triticum aestivum L.) as a tool in breeding programs. A total of 100 samples were analyzed by the reference methods for crude protein (CP), wet gluten (WG) and sodium dodecyl sulfate (SDS) sedimentation test. Whole grain samples were scanned in a NIR monochromator instrument (400-2500 nm) in reflectance. Partial least squares (PLS) were used to develop calibration equations for the quality characteristics in whole wheat. Calibration models were validated using an independent set of samples (n = 50) randomly selected from the population set. The uncertainty of the PLS models was evaluated by the standard error of prediction (SEP). The SEP obtained were 0.35% for CP, 2.04 for SDS and 4.14% for WG. It was concluded that NIR spectroscopy might be used as a screening tool to segregate early generations of wheat genotypes. At a later stage is needed to improve the accuracy of the NIR calibrations, broadening the calibration spectra with the incorporation of more genotypes and different crop years. RESUMEN: El objetivo de este trabajo fue explorar el potencial de la espectroscopía en el visible (Vis) e infrarrojo cercano (NIR) para medir características de calidad en el trigo (Triticum aestivum L.) para su uso en programas de mejoramiento. Cien muestras fueron analizadas por el método de referencia para proteína cruda (CP), gluten húmedo (WG) y sulfato de dodecil de sodio (SDS) o prueba de sedimentación. Las muestras de trigo se analizaron en un instrumento NIR (400-2500 nm) en reflectancia. El método de los cuadrados mínimos parciales (PLS) fue utilizado para desarrollar las ecuaciones de calibración para las características de calidad en trigo. Los modelos de calibración se validaron utilizando un conjunto independiente de muestras (n = 50) aleatoriamente escogido del conjunto de la población. La incertidumbre de los modelos PLS de calibración fue evaluada usando el error estándar de la predicción (SEP). El SEP obtenido fue de 0,35% para CP, 2,04 para SDS y 4,14% para WG. Se concluyó que la espectroscopía de NIR podría utilizarse como una herramienta de selección para segregar genotipos de trigo en generaciones tempranas. En una etapa posterior se necesita mejorar la precisión de los análisis NIR, ampliando el espectro de calibración con la incorporación de más genotipos y diferentes años de cultivo.
650 $aNIRS
650 $aPROTEÍNA
650 $aTRIGO
650 $aTRITICUM AESTIVUM
653 $aGLUTEN HÚMEDO
653 $aGRAIN QUALITY
653 $aGRANO DE TRIGO
653 $aPROTEIN
653 $aSDS
653 $aWET GLUTEN
653 $aWHOLE WHEAT
700 1 $aDELUCCHI, M.I.
700 1 $aKHOLI, M.
700 1 $aVÁZQUEZ, D.
773 $tAgricultura Técnica, December 2006, Volume 66, Issue 4, Pages 370-375.
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