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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
26/02/2021 |
Actualizado : |
10/08/2021 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
BAETHGEN, W.E.; PARTON, W.P-; RUBIO, V.; KELLY, R.H.; LUTZ, S. |
Afiliación : |
WALTER E. BAETHGEN, International Research Institute for Climate and Society, The Earth Institute, Columbia University, New York, USA.; WILLIAM J. PARTON, Natural Resource Ecology Lab, Colorado State University, Fort Collins, Colorado, USA.; VALENTINA RUBIO DELLEPIANE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ROBIN H. KELLY, Natural Resource Ecology Lab, Colorado State University, Fort Collins, Colorado, USA.; SUSAN LUTZ, Natural Resource Ecology Lab, Colorado State University, Fort Collins, Colorado, USA. |
Título : |
Ecosystem dynamics of crop-pasture rotations in a fifty-year field experiment in Southern South America: Century model and field results. |
Fecha de publicación : |
2021 |
Fuente / Imprenta : |
Soil Science Society of America Journal, Volume 85, Issue 2, Pages 423-437, March/April 2021. DOI: https://doi.org/10.1002/saj2.20204 |
DOI : |
doi.org/10.1002/saj2.20204 |
Idioma : |
Inglés |
Notas : |
Article History: Accepted manuscript online: 26 November 2020; Manuscript accepted: 18 November 2020; Manuscript revised: 02 November 2020 ; Manuscript received: 12 February 2020; Published online: 24 March 2021. |
Contenido : |
Abstract:
The Century model was used to simulate soil carbon (C) and nitrogen (N) cycling, and crop production dynamics in an ongoing field experiment in Uruguay (started in 1963). The model was calibrated using observed data from three treatments (crop or crop?pasture rotations) and validated with a fourth treatment. The model correctly predicted the impact of different treatments on microbial biomass, N mineralization, soil respiration, and crop yields. The model and observed data show that soil respiration, N mineralization, soil C, and crop yields increase with increasing plant derived C inputs caused by increasing the frequency of pastures in the rotations. This is one of the first papers which show the strong positive correlation of observed soil C with plant C soil inputs to field?observed microbial biomass, soil respiration, and N mineralization. The results also showed that reducing tillage and transitioning to a no?till system increased soil C and reduced soil erosion. The main path of soil C losses was heterotrophic microbial respiration which accounted for 66% of the total C lost in a continuous crop rotation and no fertilizers, 71% in a continuous crop rotation with fertilizers, and 86% in a crop?pasture rotation with fertilizers. Model results from a degraded cropping system showed that adding grass/clover pastures greatly increased plant production and soil C, while reducing the frequency of grass/clover pastures in high?fertility cropping systems from 50% of the time to 25% reduces crop yields and soil C. Including cover crops substantially increases crop production and maintains soil C in high fertility and degraded cropping systems MenosAbstract:
The Century model was used to simulate soil carbon (C) and nitrogen (N) cycling, and crop production dynamics in an ongoing field experiment in Uruguay (started in 1963). The model was calibrated using observed data from three treatments (crop or crop?pasture rotations) and validated with a fourth treatment. The model correctly predicted the impact of different treatments on microbial biomass, N mineralization, soil respiration, and crop yields. The model and observed data show that soil respiration, N mineralization, soil C, and crop yields increase with increasing plant derived C inputs caused by increasing the frequency of pastures in the rotations. This is one of the first papers which show the strong positive correlation of observed soil C with plant C soil inputs to field?observed microbial biomass, soil respiration, and N mineralization. The results also showed that reducing tillage and transitioning to a no?till system increased soil C and reduced soil erosion. The main path of soil C losses was heterotrophic microbial respiration which accounted for 66% of the total C lost in a continuous crop rotation and no fertilizers, 71% in a continuous crop rotation with fertilizers, and 86% in a crop?pasture rotation with fertilizers. Model results from a degraded cropping system showed that adding grass/clover pastures greatly increased plant production and soil C, while reducing the frequency of grass/clover pastures in high?fertility cropping systems from 50% of ... Presentar Todo |
Palabras claves : |
CROP PASTURE ROTATION; CROPPING SYSTEMS; GRASS-CLOVER PASTURES; HIGH FERTILITY. |
Thesagro : |
CICLO DEL CARBONO; CICLO DEL NITROGENO; ECOSISTEMAS; SUELOS. |
Asunto categoría : |
-- |
Marc : |
LEADER 02844naa a2200289 a 4500 001 1061775 005 2021-08-10 008 2021 bl uuuu u00u1 u #d 024 7 $adoi.org/10.1002/saj2.20204$2DOI 100 1 $aBAETHGEN, W.E. 245 $aEcosystem dynamics of crop-pasture rotations in a fifty-year field experiment in Southern South America$bCentury model and field results.$h[electronic resource] 260 $c2021 500 $aArticle History: Accepted manuscript online: 26 November 2020; Manuscript accepted: 18 November 2020; Manuscript revised: 02 November 2020 ; Manuscript received: 12 February 2020; Published online: 24 March 2021. 520 $aAbstract: The Century model was used to simulate soil carbon (C) and nitrogen (N) cycling, and crop production dynamics in an ongoing field experiment in Uruguay (started in 1963). The model was calibrated using observed data from three treatments (crop or crop?pasture rotations) and validated with a fourth treatment. The model correctly predicted the impact of different treatments on microbial biomass, N mineralization, soil respiration, and crop yields. The model and observed data show that soil respiration, N mineralization, soil C, and crop yields increase with increasing plant derived C inputs caused by increasing the frequency of pastures in the rotations. This is one of the first papers which show the strong positive correlation of observed soil C with plant C soil inputs to field?observed microbial biomass, soil respiration, and N mineralization. The results also showed that reducing tillage and transitioning to a no?till system increased soil C and reduced soil erosion. The main path of soil C losses was heterotrophic microbial respiration which accounted for 66% of the total C lost in a continuous crop rotation and no fertilizers, 71% in a continuous crop rotation with fertilizers, and 86% in a crop?pasture rotation with fertilizers. Model results from a degraded cropping system showed that adding grass/clover pastures greatly increased plant production and soil C, while reducing the frequency of grass/clover pastures in high?fertility cropping systems from 50% of the time to 25% reduces crop yields and soil C. Including cover crops substantially increases crop production and maintains soil C in high fertility and degraded cropping systems 650 $aCICLO DEL CARBONO 650 $aCICLO DEL NITROGENO 650 $aECOSISTEMAS 650 $aSUELOS 653 $aCROP PASTURE ROTATION 653 $aCROPPING SYSTEMS 653 $aGRASS-CLOVER PASTURES 653 $aHIGH FERTILITY 700 1 $aPARTON, W.P- 700 1 $aRUBIO, V. 700 1 $aKELLY, R.H. 700 1 $aLUTZ, S. 773 $tSoil Science Society of America Journal, Volume 85, Issue 2, Pages 423-437, March/April 2021. DOI: https://doi.org/10.1002/saj2.20204
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INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
06/06/2018 |
Actualizado : |
06/06/2018 |
Tipo de producción científica : |
Informes Agroclimáticos |
Autor : |
GIMÉNEZ, A.; CAL, A.; TISCORNIA, G.; SCHIAVI, C. |
Afiliación : |
AGUSTIN EDUARDO GIMÉNEZ FUREST, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ADRIAN TABARE CAL ALVAREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS IGNACIO SCHIAVI RAMPELBERG, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Informe agroclimático 2018 - Situación a Mayo. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
Montevideo (Uruguay): INIA, 2018. |
Páginas : |
4 p. |
Serie : |
(Informe Agroclimático; 145) |
Idioma : |
Español |
Palabras claves : |
AGROCLIMA; AGROCLIMATOLOGÍA; BOLETIN AGROCLIMÁTICO; CARACTERIZACIÓN AGROCLIMÁTICA; DIRECCION VIENTO; ESTACIONES AGROMETEOROLOGICAS; ESTACIONES AUTOMATICAS; ESTACIONES INIA; ESTADO DEL TIEMPO; ESTRÉS HÍDRICO; GRAFICAS AGROCLIMATICOS; GRAS; HELIOFANOGRAFO; INFORMACION SATELITAL; INFORME AGROCLIMÁTICO 2018; INUNDACIONES; LLUVIAS DIARIAS; MAXIMA; MEDIA; MINIMA; PANEL SOLAR; PERSPECTIVAS CLIMATICAS; PLUVIOMETRO; PRECIPITACION NACIONAL; PREVENCION HELADAS; PRONOSTICO; SENSOR; SIMETRICO; TANQUE A; TERMOCUPLAS; TERMOHIDROGRAFO; VARIABLES AGROCLIMATICAS; VELETA. |
Thesagro : |
AGROCLIMATOLOGIA; CAMBIO CLIMATICO; CLIMA; CLIMATOLOGIA; ESTACIONES METEOROLOGICAS; ESTRES HIDRICO; EVAPORACION; EVAPOTRANSPIRACION; HUMEDAD; HUMEDAD RELATIVA; LLUVIA; METEOROLOGIA; PERSPECTIVAS; PLUVIOMETROS; PRONOSTICO DEL TIEMPO; SENSORES; SISTEMAS; SISTEMAS DE INFORMACION; SUELO; TEMPERATURA; TERMOMETROS. |
Asunto categoría : |
P40 Meteorología y climatología |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/10025/1/Informe-agroclimatico-INIA-GRAS-Mayo-de-2018.pdf
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Marc : |
LEADER 02125nam a2200805 a 4500 001 1058669 005 2018-06-06 008 2018 bl uuuu u0uu1 u #d 100 1 $aGIMÉNEZ, A. 245 $aInforme agroclimático 2018 - Situación a Mayo.$h[electronic resource] 260 $aMontevideo (Uruguay): INIA$c2018 300 $a4 p. 490 $a(Informe Agroclimático; 145) 650 $aAGROCLIMATOLOGIA 650 $aCAMBIO CLIMATICO 650 $aCLIMA 650 $aCLIMATOLOGIA 650 $aESTACIONES METEOROLOGICAS 650 $aESTRES HIDRICO 650 $aEVAPORACION 650 $aEVAPOTRANSPIRACION 650 $aHUMEDAD 650 $aHUMEDAD RELATIVA 650 $aLLUVIA 650 $aMETEOROLOGIA 650 $aPERSPECTIVAS 650 $aPLUVIOMETROS 650 $aPRONOSTICO DEL TIEMPO 650 $aSENSORES 650 $aSISTEMAS 650 $aSISTEMAS DE INFORMACION 650 $aSUELO 650 $aTEMPERATURA 650 $aTERMOMETROS 653 $aAGROCLIMA 653 $aAGROCLIMATOLOGÍA 653 $aBOLETIN AGROCLIMÁTICO 653 $aCARACTERIZACIÓN AGROCLIMÁTICA 653 $aDIRECCION VIENTO 653 $aESTACIONES AGROMETEOROLOGICAS 653 $aESTACIONES AUTOMATICAS 653 $aESTACIONES INIA 653 $aESTADO DEL TIEMPO 653 $aESTRÉS HÍDRICO 653 $aGRAFICAS AGROCLIMATICOS 653 $aGRAS 653 $aHELIOFANOGRAFO 653 $aINFORMACION SATELITAL 653 $aINFORME AGROCLIMÁTICO 2018 653 $aINUNDACIONES 653 $aLLUVIAS DIARIAS 653 $aMAXIMA 653 $aMEDIA 653 $aMINIMA 653 $aPANEL SOLAR 653 $aPERSPECTIVAS CLIMATICAS 653 $aPLUVIOMETRO 653 $aPRECIPITACION NACIONAL 653 $aPREVENCION HELADAS 653 $aPRONOSTICO 653 $aSENSOR 653 $aSIMETRICO 653 $aTANQUE A 653 $aTERMOCUPLAS 653 $aTERMOHIDROGRAFO 653 $aVARIABLES AGROCLIMATICAS 653 $aVELETA 700 1 $aCAL, A. 700 1 $aTISCORNIA, G. 700 1 $aSCHIAVI, C.
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