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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
09/11/2017 |
Actualizado : |
09/01/2018 |
Tipo de producción científica : |
Informes Agroclimáticos |
Autor : |
GIMÉNEZ, A.; CASTAÑO, J.P.; CAL, A.; TISCORNIA, G.; SCHIAVI, C.; WADSWORTH, C. |
Afiliación : |
AGUSTIN EDUARDO GIMÉNEZ FUREST, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSE PEDRO CASTAÑO SANCHEZ, 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; CRISTINE WADSWORTH MAIORANO, INIA (Instituto Nacional de Investigación Agropecuaria). |
Título : |
Informe agroclimático 2017 - Situación a Setiembre. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
Montevideo (Uruguay): INIA, 2017. |
Páginas : |
4 p. |
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 2017; 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/7862/1/Informe-agroclimatico-INIA-GRAS-setiembre-de-2017.pdf
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Marc : |
LEADER 02145nam a2200817 a 4500 001 1057737 005 2018-01-09 008 2017 bl uuuu u0uu1 u #d 100 1 $aGIMÉNEZ, A. 245 $aInforme agroclimático 2017 - Situación a Setiembre.$h[electronic resource] 260 $aMontevideo (Uruguay): INIA$c2017 300 $a4 p. 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 2017 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 $aCASTAÑO, J.P. 700 1 $aCAL, A. 700 1 $aTISCORNIA, G. 700 1 $aSCHIAVI, C. 700 1 $aWADSWORTH, C.
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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
23/01/2023 |
Actualizado : |
07/03/2023 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
CARRACELAS, G.; GUILPART, N.; CASSMAN, K.G.; GRASSINI, P. |
Afiliación : |
JULIO GONZALO CARRACELAS GARRIDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NICOLÁS GUILPART, University of Nebraska-Lincoln, USA; Université Paris-Saclay, AgroParisTech, INRAE, UMR Agronomie, France.; KENNETH G. CASSMAN, University of Nebraska-Lincoln, USA; PATRICIO GRASSINI, University of Nebraska-Lincoln, USA. |
Título : |
Distinguishing between yield plateaus and yield ceilings: A case study of rice in Uruguay. |
Fecha de publicación : |
2023 |
Fuente / Imprenta : |
Field Crops Research, 2023, volume 292, number 108808. OPEN ACCESS. Doi: https://doi.org/10.1016/j.fcr.2023.108808 |
Páginas : |
8 p. |
DOI : |
10.1016/j.fcr.2023.108808 |
Idioma : |
Inglés |
Notas : |
Article history: Received 3 September 2022; Received in revised form 22 December 2022; Accepted 2 January 2023; Available online 13 January 2023.
Corresponding author. E-mail address: gcarracelas@inia.org.uy (G. Carracelas). |
Contenido : |
Rice yields in Uruguay have increased rapidly (159 kg-1 ha-1 y-1) between 1990 and 2013. There is evidence, however, of an incipient yield plateau in recent years. The aim of this study was to determine if the recent slowdown in yield gains is because average yield (Ya) has approached the yield potential (Yp) ceiling, which makes it increasingly difficult for farmers to sustain further yield gains. We followed the methodology developed by the Global Yield Gap Atlas to estimate Yp and associated yield gaps for irrigated rice supported by data from high-yield experiments to calibrate the rice simulation model Oryza (v3). Subsequently, the model was used to simulate Yp using long-term daily weather data from seven locations, representing 90 % of total rice area in Uruguay. The exploitable yield gap (Yeg) was calculated as the difference between 80 % of Yp and Ya. Estimated national average Yp was 13.9 Mg ha?1, with relatively small variation across sites, from 13.1 to 15.1 Mg ha-1. Average Ya was 8.3 Mg ha-1, ranging from 7.9 to 8.5 Mg ha-1 across sites, and representing 60 % of Yp. Our analysis suggests there is still room to further increase rice yields in Uruguay, because the Yeg is 2.8 Mg ha-1, which means the current yield plateau is not due to Ya approaching Yp, as has occurred in other high-yield irrigated rice systems in China and California, USA. The approach followed here can help determine whether yield plateaus are occurring due to a small Yeg or other factors. |
Palabras claves : |
ORYSA SATIVA; RICE; YIELD GAP; YIELD PLATEAU; YIELD POTENTIAL. |
Asunto categoría : |
F01 Cultivo |
URL : |
https://www.sciencedirect.com/sdfe/reader/pii/S0378429023000011/pdf
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Marc : |
LEADER 02481naa a2200253 a 4500 001 1063945 005 2023-03-07 008 2023 bl uuuu u00u1 u #d 024 7 $a10.1016/j.fcr.2023.108808$2DOI 100 1 $aCARRACELAS, G. 245 $aDistinguishing between yield plateaus and yield ceilings$bA case study of rice in Uruguay.$h[electronic resource] 260 $c2023 300 $a8 p. 500 $aArticle history: Received 3 September 2022; Received in revised form 22 December 2022; Accepted 2 January 2023; Available online 13 January 2023. Corresponding author. E-mail address: gcarracelas@inia.org.uy (G. Carracelas). 520 $aRice yields in Uruguay have increased rapidly (159 kg-1 ha-1 y-1) between 1990 and 2013. There is evidence, however, of an incipient yield plateau in recent years. The aim of this study was to determine if the recent slowdown in yield gains is because average yield (Ya) has approached the yield potential (Yp) ceiling, which makes it increasingly difficult for farmers to sustain further yield gains. We followed the methodology developed by the Global Yield Gap Atlas to estimate Yp and associated yield gaps for irrigated rice supported by data from high-yield experiments to calibrate the rice simulation model Oryza (v3). Subsequently, the model was used to simulate Yp using long-term daily weather data from seven locations, representing 90 % of total rice area in Uruguay. The exploitable yield gap (Yeg) was calculated as the difference between 80 % of Yp and Ya. Estimated national average Yp was 13.9 Mg ha?1, with relatively small variation across sites, from 13.1 to 15.1 Mg ha-1. Average Ya was 8.3 Mg ha-1, ranging from 7.9 to 8.5 Mg ha-1 across sites, and representing 60 % of Yp. Our analysis suggests there is still room to further increase rice yields in Uruguay, because the Yeg is 2.8 Mg ha-1, which means the current yield plateau is not due to Ya approaching Yp, as has occurred in other high-yield irrigated rice systems in China and California, USA. The approach followed here can help determine whether yield plateaus are occurring due to a small Yeg or other factors. 653 $aORYSA SATIVA 653 $aRICE 653 $aYIELD GAP 653 $aYIELD PLATEAU 653 $aYIELD POTENTIAL 700 1 $aGUILPART, N. 700 1 $aCASSMAN, K.G. 700 1 $aGRASSINI, P. 773 $tField Crops Research, 2023, volume 292, number 108808. OPEN ACCESS. Doi: https://doi.org/10.1016/j.fcr.2023.108808
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