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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
07/02/2024 |
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Actualizado : |
07/02/2024 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
MACEDO, I.; ROEL, A.; AYALA, W.; PRAVIA, V.; TERRA, J.A.; PITTELKOW, C.M. |
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Afiliación : |
IGNACIO MACEDO YAPOR, University of California-Davis; ALVARO ROEL DELLAZOPPA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; WALTER FELIZARDO AYALA SILVERA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAMERON M. PITTELKOW, University of California-Davis. |
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Título : |
207-4. Rice rotations affect soil organic carbon sequestration and rice yield in a temperate region of South America. [Abstract] |
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Complemento del título : |
Soil Carbon and Greenhouse Gas Emissions Community. ASA Section: Environmental Quality. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
In: ASA, CSSA, SSSA International Annual Meeting, Salt Lake City, UT. 2021. https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Paper/134305 |
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Idioma : |
Inglés |
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Notas : |
Abstract citation: Macedo, I., Roel, A., Ayala, W., Pravia, M. V., Terra, J. A., & Pittelkow, C. M. (2021). Rice Rotations Affect Soil Organic Carbon Sequestration and Rice Yield in a Temperate Region of South America [Abstract]. ASA, CSSA, SSSA International Annual Meeting, Salt Lake City, UT. https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Paper/134305 |
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Contenido : |
Soil organic carbon (SOC) sequestration is key in mitigating climate change. Rice systems rotated with perennial pastures are being intensified in South America to increase annual grain productivity, but the effects on SOC and rice yield remain poorly understood. These results highlight insights for the design of rice-based rotations that increase or sustain SOC and increase rice yield, helping simultaneously meet climate change and food production goals. |
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Palabras claves : |
Rice systems; Soil organic carbon (SOC) sequestration. |
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Asunto categoría : |
P30 Ciencia del suelo y manejo del suelo |
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URL : |
https://scisoc.confex.com/scisoc/2021am/prelim.cgi/Paper/134305
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Marc : |
LEADER 01562nam a2200205 a 4500
001 1064452
005 2024-02-07
008 2021 bl uuuu u01u1 u #d
100 1 $aMACEDO, I.
245 $a207-4. Rice rotations affect soil organic carbon sequestration and rice yield in a temperate region of South America. [Abstract]$h[electronic resource]
260 $aIn: ASA, CSSA, SSSA International Annual Meeting, Salt Lake City, UT. 2021. https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Paper/134305$c2021
500 $aAbstract citation: Macedo, I., Roel, A., Ayala, W., Pravia, M. V., Terra, J. A., & Pittelkow, C. M. (2021). Rice Rotations Affect Soil Organic Carbon Sequestration and Rice Yield in a Temperate Region of South America [Abstract]. ASA, CSSA, SSSA International Annual Meeting, Salt Lake City, UT. https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Paper/134305
520 $aSoil organic carbon (SOC) sequestration is key in mitigating climate change. Rice systems rotated with perennial pastures are being intensified in South America to increase annual grain productivity, but the effects on SOC and rice yield remain poorly understood. These results highlight insights for the design of rice-based rotations that increase or sustain SOC and increase rice yield, helping simultaneously meet climate change and food production goals.
653 $aRice systems
653 $aSoil organic carbon (SOC) sequestration
700 1 $aROEL, A.
700 1 $aAYALA, W.
700 1 $aPRAVIA, V.
700 1 $aTERRA, J.A.
700 1 $aPITTELKOW, C.M.
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Registro original : |
INIA Las Brujas (LB) |
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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
21/02/2014 |
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Actualizado : |
30/09/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 2 |
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Autor : |
COZZOLINO, D.; MORON, A. |
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Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DAVID ALEJANDRO MORON YACOEL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Exploring the use of near infrared reflectance spectroscopy (NIRS) to predict trace minerals in legumes. |
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Fecha de publicación : |
2004 |
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Fuente / Imprenta : |
Animal Feed Science and Technology, Volume 111, Issues 1?4, 12 January 2004, Pages 161-173. |
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DOI : |
10.1016/j.anifeedsci.2003.08.001 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 28 January 2003 / Received in revised form 23 July 2003 / Accepted 5 August 2003. |
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Contenido : |
Abstract:
The use of near infrared reflectance spectroscopy (NIRS) was explored to predict trace mineral concentrations in two legumes. Samples (332), composite of white clover (n=97) and lucerne (n=235), from different locations in Uruguay representing a wide range of soil types, were analysed for sodium (Na), sulphur (S), copper (Cu), iron (Fe), manganese (Mn), zinc (Zn), and boron (B). The samples were scanned in reflectance in a monochromator instrument (400?2500 nm). Calibration models (n=262) were developed using modified partial least squares regression (MPLS) based on cross-validation and tested using a validation set (n=70). Two mathematical treatments of the spectra were compared (first and second derivative). The highest coefficients of determination in calibration (RCAL2) and the lowest standard errors of cross-validation (SECV) were obtained using second derivative. The RCAL2 and SECV were 0.83 (SECV: 0.8) for Na and 0.86 (SECV: 2.5) for S in g kg?1 DM; 0.80 (SECV: 4.4), 0.80 (SECV: 10.6), 0.78 (SECV: 22.9), 0.76 (SECV: 0.83) and 0.57 (SECV 25.7) for B, Zn, Mn, Cu and Fe in mg kg?1 DM on a dry weight, respectively. Sulphur (SEP: 5.5), sodium (SEP: 1.2) and boron (SEP 4.2) were well predicted by NIRS on a validation set. |
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Palabras claves : |
LEGUMES FORAGE QUALITY; NIRS; PARTIAL LEAST SQUARES; TRACE MINERALS. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02004naa a2200205 a 4500
001 1049567
005 2019-09-30
008 2004 bl uuuu u00u1 u #d
024 7 $a10.1016/j.anifeedsci.2003.08.001$2DOI
100 1 $aCOZZOLINO, D.
245 $aExploring the use of near infrared reflectance spectroscopy (NIRS) to predict trace minerals in legumes.
260 $c2004
500 $aArticle history: Received 28 January 2003 / Received in revised form 23 July 2003 / Accepted 5 August 2003.
520 $aAbstract: The use of near infrared reflectance spectroscopy (NIRS) was explored to predict trace mineral concentrations in two legumes. Samples (332), composite of white clover (n=97) and lucerne (n=235), from different locations in Uruguay representing a wide range of soil types, were analysed for sodium (Na), sulphur (S), copper (Cu), iron (Fe), manganese (Mn), zinc (Zn), and boron (B). The samples were scanned in reflectance in a monochromator instrument (400?2500 nm). Calibration models (n=262) were developed using modified partial least squares regression (MPLS) based on cross-validation and tested using a validation set (n=70). Two mathematical treatments of the spectra were compared (first and second derivative). The highest coefficients of determination in calibration (RCAL2) and the lowest standard errors of cross-validation (SECV) were obtained using second derivative. The RCAL2 and SECV were 0.83 (SECV: 0.8) for Na and 0.86 (SECV: 2.5) for S in g kg?1 DM; 0.80 (SECV: 4.4), 0.80 (SECV: 10.6), 0.78 (SECV: 22.9), 0.76 (SECV: 0.83) and 0.57 (SECV 25.7) for B, Zn, Mn, Cu and Fe in mg kg?1 DM on a dry weight, respectively. Sulphur (SEP: 5.5), sodium (SEP: 1.2) and boron (SEP 4.2) were well predicted by NIRS on a validation set.
653 $aLEGUMES FORAGE QUALITY
653 $aNIRS
653 $aPARTIAL LEAST SQUARES
653 $aTRACE MINERALS
700 1 $aMORON, A.
773 $tAnimal Feed Science and Technology, Volume 111, Issues 1?4, 12 January 2004, Pages 161-173.
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