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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
05/01/2021 |
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Actualizado : |
05/01/2021 |
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Tipo de producción científica : |
Informes Agroclimáticos |
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Autor : |
INIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA); GRAS |
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Afiliación : |
UNIDAD DE AGROCLIMA Y SISTEMAS DE INFORMACIÓN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Informe agroclimático 2020- Situación a Diciembre. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Montevideo (Uruguay): INIA, 2020. |
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Páginas : |
5 p. |
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Serie : |
(Informe Agroclimático; Año 15, No.12) |
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Idioma : |
Español |
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Notas : |
Equipo de trabajo INIA-GRAS (Unidad de Agtech y sistemas de Información): Adrián Cal, Guadalupe Tiscornia, Carlos Schiavi, Gabriel García. |
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Contenido : |
Contenido. Síntesis de la Situación Agroclimática de Diciembre-- Perspectivas Climáticas Trimestrales elaboradas por el IRI de la Universidad de Columbia -- Índice de Vegetación (IVDN) -- Precipitaciones -- Porcentaje de Agua Disponible (PAD) -- Índice de Bienestar Hídrico (IBH) -- Agua No Retenida (ANR) -- Perspectivas Climáticas -Ene-Feb-Mar elaboradas por el IRI de la Universidad de Columbia. Destacamos para este mes: Estimación de la probabilidad de ocurrencia de diferentes niveles de déficit hídrico en cultivos de verano (soja y maíz). Link directo: http://www.inia.uy/gras/Riesgo-hidrico-cultivos |
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Palabras claves : |
AGROCLIMA; AGTECH; BOLETIN AGROCLIMÁTICO; CARACTERIZACIÓN AGROCLIMÁTICA; DIRECCION VIENTO; ESTACIONES AGROMETEOROLOGICAS; ESTACIONES AUTOMATICAS; ESTACIONES INIA; ESTADO DEL TIEMPO; ESTRÉS HÍDRICO; GRAFICAS AGROCLIMATICAS; GRAS; HELIOFANOGRAFO; INFORMACION SATELITAL; INFORME AGROCLIMÁTICO 2020; 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. |
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Thesagro : |
AGROCLIMATOLOGIA; CAMBIO CLIMATICO; CLIMA; CLIMATOLOGIA; ESTACIONES METEOROLOGICAS; ESTRES HIDRICO; EVAPOTRANSPIRACION; HUMEDAD; HUMEDAD RELATIVA; LLUVIA; METEOROLOGIA; PERSPECTIVAS; PLUVIOMETROS; PRONOSTICO DEL TIEMPO; SENSORES; SISTEMAS; SISTEMAS DE INFORMACION; SUELO; TEMPERATURA; TERMOMETROS. |
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Asunto categoría : |
P40 Meteorología y climatología |
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URL : |
http://www.inia.uy/Publicaciones/Documentos%20compartidos/Informe%20agroclimatico%20INIA-GRAS%20Diciembre%20de%202020.pdf
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Marc : |
LEADER 02880nam a2200793 a 4500
001 1061651
005 2021-01-05
008 2020 bl uuuu u0uu1 u #d
100 1 $aINIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA)
245 $aInforme agroclimático 2020- Situación a Diciembre.$h[electronic resource]
260 $aMontevideo (Uruguay): INIA$c2020
300 $a5 p.
490 $a(Informe Agroclimático; Año 15, No.12)
500 $aEquipo de trabajo INIA-GRAS (Unidad de Agtech y sistemas de Información): Adrián Cal, Guadalupe Tiscornia, Carlos Schiavi, Gabriel García.
520 $aContenido. Síntesis de la Situación Agroclimática de Diciembre-- Perspectivas Climáticas Trimestrales elaboradas por el IRI de la Universidad de Columbia -- Índice de Vegetación (IVDN) -- Precipitaciones -- Porcentaje de Agua Disponible (PAD) -- Índice de Bienestar Hídrico (IBH) -- Agua No Retenida (ANR) -- Perspectivas Climáticas -Ene-Feb-Mar elaboradas por el IRI de la Universidad de Columbia. Destacamos para este mes: Estimación de la probabilidad de ocurrencia de diferentes niveles de déficit hídrico en cultivos de verano (soja y maíz). Link directo: http://www.inia.uy/gras/Riesgo-hidrico-cultivos
650 $aAGROCLIMATOLOGIA
650 $aCAMBIO CLIMATICO
650 $aCLIMA
650 $aCLIMATOLOGIA
650 $aESTACIONES METEOROLOGICAS
650 $aESTRES HIDRICO
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 $aAGTECH
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 AGROCLIMATICAS
653 $aGRAS
653 $aHELIOFANOGRAFO
653 $aINFORMACION SATELITAL
653 $aINFORME AGROCLIMÁTICO 2020
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 $aGRAS
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Registro original : |
INIA Las Brujas (LB) |
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 | Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
14/09/2017 |
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Actualizado : |
13/09/2018 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - A |
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Autor : |
VIKRAM, A.; ROVIRA, P.J.; AGGA, G.E.; ARTHUR, T.M.; BOSILEVAC, J.M.; WHEELER, T.L.; MORLEY, P.S.; BELK, K.E.; SCHMIDT, J.W. |
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Afiliación : |
AMIT VIKRAM, U.S. Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, NE.; PABLO JUAN ROVIRA SANZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Department of Animal Sciences Colorado State University, CO, US.; GETHYM E. AGGA, U.S. Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, NE.; TERRANCE M. ARTHUR, U.S. Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, NE.; JOSEPH M. BOSILEVAC, U.S. Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, NE.; TOMMY L. WHEELER, U.S. Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, NE.; PAUL S. MORLEY, Department of Animal Sciences Colorado State University, CO, US. Department of Clinical Sciences, College of Veterinary Medicine, Colorado State University, CO, US.; KEITH E. BELK, Department of Animal Sciences Colorado State University, CO, US.; JOHN W. SCHMIDT, U.S. Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, NE. Department of Animal Sciences Colorado State University, CO, US. |
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Título : |
Impact of "Raised Without Antibiotics" beef cattle production practices on occurrences of antimicrobial resistance. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
Applied and Environmental Microbiology, 2017, v. 83, no. 22, e01682-17. |
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DOI : |
10.1128/AEM.01682-17 |
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Idioma : |
Inglés |
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Notas : |
Article history: Accepted manuscript posted online 8 September 2017// published in november 2017. |
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Contenido : |
The specific antimicrobial resistance (AMR) decreases that can be expected from reducing antimicrobial (AM) use in United States (US) beef production have not been defined. To address this data gap, feces were recovered from 36 lots of ?raised without antibiotics? (RWA) and 36 lots of ?conventional? (CONV) beef cattle. Samples (N = 719) were collected during harvest and distributed over a year. AMR was assessed by: i) culture of six AM-resistant bacteria (ARB); ii) qPCR for 10 AMR genes (ARGs); iii) an qPCR array of 84 ARGs; and iv) metagenomic sequencing. Generally, AMR levels were similar, but some were higher in CONV. The prevalence of third-generation cephalosporin-resistant (3GCr) Escherichia coli was marginally different between production systems (47.5 % CONV, 34.8% RWA, P = 0.04), but the seasonal effect (92.8% summer, 48.3% winter, P < 0.01) was greater. Erythromycin-resistant (ERYr) Enterococcus spp. concentrations significantly differed between production systems (CONV = 1.91 log10 CFU/g, RWA = 0.73 log10 CFU/g, P < 0.01). Levels of aadA1, ant(6)-I, blaACI, erm(A), erm(B), erm(C), erm(F), erm(Q), tet(A), tet(B), tet(M), and tet(X) ARGs were higher (P < 0.05) in CONV. Aggregate abundances of all 43 ARGs detected by metagenomic sequencing and the aggregate abundances of ARGs in the aminoglycoside, ?-lactam, macrolide-lincosamide-streptogramin B (MLSB), and tetracycline AM classes did not differ (log2 fold change < 1.0) between CONV and RWA. These results suggest that further reductions of AM use in US beef cattle production may not yield significant AMR reductions beyond MLSB and tetracycline resistance. MenosThe specific antimicrobial resistance (AMR) decreases that can be expected from reducing antimicrobial (AM) use in United States (US) beef production have not been defined. To address this data gap, feces were recovered from 36 lots of ?raised without antibiotics? (RWA) and 36 lots of ?conventional? (CONV) beef cattle. Samples (N = 719) were collected during harvest and distributed over a year. AMR was assessed by: i) culture of six AM-resistant bacteria (ARB); ii) qPCR for 10 AMR genes (ARGs); iii) an qPCR array of 84 ARGs; and iv) metagenomic sequencing. Generally, AMR levels were similar, but some were higher in CONV. The prevalence of third-generation cephalosporin-resistant (3GCr) Escherichia coli was marginally different between production systems (47.5 % CONV, 34.8% RWA, P = 0.04), but the seasonal effect (92.8% summer, 48.3% winter, P < 0.01) was greater. Erythromycin-resistant (ERYr) Enterococcus spp. concentrations significantly differed between production systems (CONV = 1.91 log10 CFU/g, RWA = 0.73 log10 CFU/g, P < 0.01). Levels of aadA1, ant(6)-I, blaACI, erm(A), erm(B), erm(C), erm(F), erm(Q), tet(A), tet(B), tet(M), and tet(X) ARGs were higher (P < 0.05) in CONV. Aggregate abundances of all 43 ARGs detected by metagenomic sequencing and the aggregate abundances of ARGs in the aminoglycoside, ?-lactam, macrolide-lincosamide-streptogramin B (MLSB), and tetracycline AM classes did not differ (log2 fold change < 1.0) between CONV and RWA. These results suggest tha... Presentar Todo |
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Palabras claves : |
ANTIMICROBIAL RESISTANCE; BACTERIAL CULTURE; BEEF CATTLE PRODUCTION; METAGENOMICS; RAISED WITHOUT ANTIBIOTICS. |
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Asunto categoría : |
L73 Enfermedades de los animales |
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Marc : |
LEADER 02646naa a2200301 a 4500
001 1057565
005 2018-09-13
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1128/AEM.01682-17$2DOI
100 1 $aVIKRAM, A.
245 $aImpact of "Raised Without Antibiotics" beef cattle production practices on occurrences of antimicrobial resistance.$h[electronic resource]
260 $c2017
500 $aArticle history: Accepted manuscript posted online 8 September 2017// published in november 2017.
520 $aThe specific antimicrobial resistance (AMR) decreases that can be expected from reducing antimicrobial (AM) use in United States (US) beef production have not been defined. To address this data gap, feces were recovered from 36 lots of ?raised without antibiotics? (RWA) and 36 lots of ?conventional? (CONV) beef cattle. Samples (N = 719) were collected during harvest and distributed over a year. AMR was assessed by: i) culture of six AM-resistant bacteria (ARB); ii) qPCR for 10 AMR genes (ARGs); iii) an qPCR array of 84 ARGs; and iv) metagenomic sequencing. Generally, AMR levels were similar, but some were higher in CONV. The prevalence of third-generation cephalosporin-resistant (3GCr) Escherichia coli was marginally different between production systems (47.5 % CONV, 34.8% RWA, P = 0.04), but the seasonal effect (92.8% summer, 48.3% winter, P < 0.01) was greater. Erythromycin-resistant (ERYr) Enterococcus spp. concentrations significantly differed between production systems (CONV = 1.91 log10 CFU/g, RWA = 0.73 log10 CFU/g, P < 0.01). Levels of aadA1, ant(6)-I, blaACI, erm(A), erm(B), erm(C), erm(F), erm(Q), tet(A), tet(B), tet(M), and tet(X) ARGs were higher (P < 0.05) in CONV. Aggregate abundances of all 43 ARGs detected by metagenomic sequencing and the aggregate abundances of ARGs in the aminoglycoside, ?-lactam, macrolide-lincosamide-streptogramin B (MLSB), and tetracycline AM classes did not differ (log2 fold change < 1.0) between CONV and RWA. These results suggest that further reductions of AM use in US beef cattle production may not yield significant AMR reductions beyond MLSB and tetracycline resistance.
653 $aANTIMICROBIAL RESISTANCE
653 $aBACTERIAL CULTURE
653 $aBEEF CATTLE PRODUCTION
653 $aMETAGENOMICS
653 $aRAISED WITHOUT ANTIBIOTICS
700 1 $aROVIRA, P.J.
700 1 $aAGGA, G.E.
700 1 $aARTHUR, T.M.
700 1 $aBOSILEVAC, J.M.
700 1 $aWHEELER, T.L.
700 1 $aMORLEY, P.S.
700 1 $aBELK, K.E.
700 1 $aSCHMIDT, J.W.
773 $tApplied and Environmental Microbiology, 2017$gv. 83, no. 22, e01682-17.
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