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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
23/04/2024 |
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Actualizado : |
23/04/2024 |
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Tipo de producción científica : |
Documentos |
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Autor : |
INIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA); INIA TACUAREMBÓ |
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Afiliación : |
ESTACIÓN EXPERIMENTAL DEL NORTE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Día de campo forestal zona sureste. |
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Complemento del título : |
Día de campo. Actividad presencial, 25 de abril de 2024, Rocha. |
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Fecha de publicación : |
2024 |
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Fuente / Imprenta : |
Tacuarembó (UY): INIA, 2024. |
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Páginas : |
69 p. |
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Idioma : |
Español |
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Contenido : |
CONTENIDO: Resumen Jornada Forestal - Zona SE - 2023. (Cecilia Rachid - INIA) -- Ensayos de manejo de Eucalyptus smithii: evaluación de muerte súbita a los 6 meses. (Equipo técnico ? INIA: Fernando Resquín, Gustavo Balmelli, Cecilia Rachid, Sofía Simeto, Diego Torres, Juan Rosas, Silvia Garaycochea. FAGRO: Mario Pérez, Pablo Ferrando, Franco Schinatto, Jaime González, Andrés Baietto.). -- GEOroots - Uso de georradar para el análisis de sistemas radiculares en E. smithii (L4 2024-2027). (Andrés Hirigoyen - INIA). -- Efecto de reguladores de crecimiento sobre el desarrollo de plantines de Eucalyptus smithii. (FAGRO, Dpto. Forestal: Franco Schinato, Andrés Baietto, Jaime González-Tálice; INIA: Fernando Resquín.).
-- Profor: manejo sostenible de problemas sanitarios en el sector forestal. (Equipo técnico INIA: Sofía Simeto, Gabriela Piñeyro, Andrés Hirigoyen, Diego Torres, Mario Giambiasi, Federico Rivas y Eduardo Abreo). ? Equipo de apoyo de INIA: Gisel Cantero, Paula Gonzáles, Analía García, Mariela Suárez, Pablo Núñez, Federico Rodríguez, Wilfredo González, Néstor Pereira, Juan Pablo Lozno y Sebastián Inthamoussu. ? Equipo Técnico externo: Demian Gómez (Texas A&M Forest Service), Thomas Atkinson (Universitey of Texas), Susana Tiscornia (Facultad de Ciencias) y Sandra Lupo (Facultad de Ciencias). ? Instituciones colaboradoras: SPF, DGF, University of Florida.). -- Impacto de Teratosphaeria nubilosa en el crecimiento de Eucalyptus globulus en Uruguay. (M. Pintos (CENUR, Polo Desarrollo Universitario), C.A.Pérez (EEMAC, Dpto.Protección Vegetal), INIA: Cecilia Rachid, Gustavo Balmelli, Sofía Simeto.) -- Crecimiento y mortalidad de E. smithii en ensayos de orígenes y progenies. -- Crecimiento de Eucalyptus dunnii a través de los simuladores de INIA. (Fernando Resquin, Andrés Hirigoyen). MenosCONTENIDO: Resumen Jornada Forestal - Zona SE - 2023. (Cecilia Rachid - INIA) -- Ensayos de manejo de Eucalyptus smithii: evaluación de muerte súbita a los 6 meses. (Equipo técnico ? INIA: Fernando Resquín, Gustavo Balmelli, Cecilia Rachid, Sofía Simeto, Diego Torres, Juan Rosas, Silvia Garaycochea. FAGRO: Mario Pérez, Pablo Ferrando, Franco Schinatto, Jaime González, Andrés Baietto.). -- GEOroots - Uso de georradar para el análisis de sistemas radiculares en E. smithii (L4 2024-2027). (Andrés Hirigoyen - INIA). -- Efecto de reguladores de crecimiento sobre el desarrollo de plantines de Eucalyptus smithii. (FAGRO, Dpto. Forestal: Franco Schinato, Andrés Baietto, Jaime González-Tálice; INIA: Fernando Resquín.).
-- Profor: manejo sostenible de problemas sanitarios en el sector forestal. (Equipo técnico INIA: Sofía Simeto, Gabriela Piñeyro, Andrés Hirigoyen, Diego Torres, Mario Giambiasi, Federico Rivas y Eduardo Abreo). ? Equipo de apoyo de INIA: Gisel Cantero, Paula Gonzáles, Analía García, Mariela Suárez, Pablo Núñez, Federico Rodríguez, Wilfredo González, Néstor Pereira, Juan Pablo Lozno y Sebastián Inthamoussu. ? Equipo Técnico externo: Demian Gómez (Texas A&M Forest Service), Thomas Atkinson (Universitey of Texas), Susana Tiscornia (Facultad de Ciencias) y Sandra Lupo (Facultad de Ciencias). ? Instituciones colaboradoras: SPF, DGF, University of Florida.). -- Impacto de Teratosphaeria nubilosa en el crecimiento de Eucalyptus globulus en Uruguay. (M. Pintos (CENUR, Polo D... Presentar Todo |
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Palabras claves : |
EUCALYPTUS SMITHII; GEOroots; SISTEMA FORESTAL - INIA. |
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Thesagro : |
FORESTALES; MEJORAMIENTO GENETICO; PROTECCION FORESTAL. |
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Asunto categoría : |
K01 Ciencias forestales - Aspectos generales |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/17620/1/Dia-campo-forestal-zona-sureste-25-abril-2024.pdf
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Marc : |
LEADER 02437nam a2200205 a 4500
001 1064612
005 2024-04-23
008 2024 bl uuuu u0uu1 u #d
100 1 $aINIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA)
245 $aDía de campo forestal zona sureste.$h[electronic resource]
260 $aTacuarembó (UY): INIA$c2024
300 $a69 p.
520 $aCONTENIDO: Resumen Jornada Forestal - Zona SE - 2023. (Cecilia Rachid - INIA) -- Ensayos de manejo de Eucalyptus smithii: evaluación de muerte súbita a los 6 meses. (Equipo técnico ? INIA: Fernando Resquín, Gustavo Balmelli, Cecilia Rachid, Sofía Simeto, Diego Torres, Juan Rosas, Silvia Garaycochea. FAGRO: Mario Pérez, Pablo Ferrando, Franco Schinatto, Jaime González, Andrés Baietto.). -- GEOroots - Uso de georradar para el análisis de sistemas radiculares en E. smithii (L4 2024-2027). (Andrés Hirigoyen - INIA). -- Efecto de reguladores de crecimiento sobre el desarrollo de plantines de Eucalyptus smithii. (FAGRO, Dpto. Forestal: Franco Schinato, Andrés Baietto, Jaime González-Tálice; INIA: Fernando Resquín.). -- Profor: manejo sostenible de problemas sanitarios en el sector forestal. (Equipo técnico INIA: Sofía Simeto, Gabriela Piñeyro, Andrés Hirigoyen, Diego Torres, Mario Giambiasi, Federico Rivas y Eduardo Abreo). ? Equipo de apoyo de INIA: Gisel Cantero, Paula Gonzáles, Analía García, Mariela Suárez, Pablo Núñez, Federico Rodríguez, Wilfredo González, Néstor Pereira, Juan Pablo Lozno y Sebastián Inthamoussu. ? Equipo Técnico externo: Demian Gómez (Texas A&M Forest Service), Thomas Atkinson (Universitey of Texas), Susana Tiscornia (Facultad de Ciencias) y Sandra Lupo (Facultad de Ciencias). ? Instituciones colaboradoras: SPF, DGF, University of Florida.). -- Impacto de Teratosphaeria nubilosa en el crecimiento de Eucalyptus globulus en Uruguay. (M. Pintos (CENUR, Polo Desarrollo Universitario), C.A.Pérez (EEMAC, Dpto.Protección Vegetal), INIA: Cecilia Rachid, Gustavo Balmelli, Sofía Simeto.) -- Crecimiento y mortalidad de E. smithii en ensayos de orígenes y progenies. -- Crecimiento de Eucalyptus dunnii a través de los simuladores de INIA. (Fernando Resquin, Andrés Hirigoyen).
650 $aFORESTALES
650 $aMEJORAMIENTO GENETICO
650 $aPROTECCION FORESTAL
653 $aEUCALYPTUS SMITHII
653 $aGEOroots
653 $aSISTEMA FORESTAL - INIA
700 1 $aINIA TACUAREMBÓ
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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. |
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Fecha actual : |
04/09/2019 |
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Actualizado : |
16/03/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
-- - -- |
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Autor : |
ROVIRA, P.J.; MCALLISTER, T.; LAKIN, S.M.; COOK, S.R.; DOSTER, E.; NOYES, N. R.; WEINROTH, M.D.; YANG, X.; PARKER, J. K.; BOUCHER, C.; BOOKER, C. W.; WOENER, D. R.; BELK, K. E.; MORLEY, P. S. |
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Afiliación : |
PABLO JUAN ROVIRA SANZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Department of Animal Sciences, College of Agricultural Sciences, Colorado State University, USA.; TIM MCALLISTER, Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada.; STEVEN M. LAKIN, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, USA.; SHAUN R. COOK, Alberta Agricultural and forestry, Lethbridge, Canada.; ENRIQUE DOSTER, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, USA.; NOELLE R. NOYES, Veterinary Population Medicine Department, University of Minnesota, USA.; MAGGIE D. WEINROTH, Department of Animal Sciences, College of Agricultural Sciences, Colorado State University, USA.; XIANG YANG, Department of Animal Science, University of California, Davis, USA.; JENNIFER K. PARKER, Deparment of Molecular Biosciences, University of Florida, Gainesville, FL, USA.; CHRISTINA BOUCHER, Deparment of Computer and Information Science and Engineering, University of Florida, Gainessville, FL, USA.; CALVIN W. BOOKER, Feedlot Health Management Services, Okotoks, AB, Canada.; DALE R. WOEMER, Deparment of Animal and Food Sciences, College of Agricultural Sciences & Natural Resources, Texas University, TX, USA.; KEITH E. BELK, Department of Animal Sciences, College of Agricultural Sciences, Colorado State University, USA.; PAUL S. MORLEY, VERO, Veterinary Education, Research , and Outreach Program, Texas A&M University and West Texas A&M University, Canyon, TX, USA. |
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Título : |
Characterization of the microbial resistome in conventional and "raised without antibiotics" beef and dairy production systems. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Frontier in Microbiology, September 2019. v. 10, article 1980, 11 p. OPEN ACCESS. |
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DOI : |
10.3389/fmicb.2019.01980 |
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Idioma : |
Inglés |
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Notas : |
Received 18 March 2019 // Accepted 12 August 2019 // Published 4 September 2019. |
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Contenido : |
Metagenomic investigations have the potential to provide unprecedented insights into microbial ecologies, such as those relating to antimicrobial resistance (AMR). We characterized the microbial resistome in livestock operations raising cattle conventionally (CONV) or without antibiotic exposures (RWA) using shotgun metagenomics. Samples of feces, wastewater from catchment basins, and soil where wastewater was applied were collected from CONV and RWA feedlot and dairy farms. After DNA extraction and sequencing, shotgun metagenomic reads were aligned to reference databases for identification of bacteria (Kraken) and antibiotic resistance genes (ARGs) accessions (MEGARes). Differences in microbial resistomes were found across farms with different production practices (CONV vs. RWA), types of cattle (beef vs. dairy), and types of sample (feces vs. wastewater vs. soil). Feces had the greatest number of ARGs per sample (mean = 118 and 79 in CONV and RWA, respectively), with tetracycline efflux pumps, macrolide phosphotransferases, and aminoglycoside nucleotidyltransferases mechanisms of resistance more abundant in CONV than in RWA feces. Tetracycline and macrolide-lincosamide-streptogramin classes of resistance were more abundant in feedlot cattle than in dairy cow feces, whereas the b-lactam class was more abundant in dairy cow feces. Lack of congruence between ARGs and microbial communities (procrustes analysis) suggested that other factors (e.g., location of farms, cattle source, management practices, diet, horizontal ARGs transfer, and co-selection of resistance), in addition to antimicrobial use, could have impacted resistome profiles. For that reason, we could not establish a cause-effect relationship between antimicrobial use and AMR, although ARGs in feces and effluents were associated with drug classes used to treat animals according to farms' records (tetracyclines and macrolides in feedlots, b-lactams in dairies), whereas ARGs in soil were dominated by multidrug resistance.
Characterization of the "resistance potential" of animal-derived and environmental samples is the first step toward incorporating metagenomic approaches into AMR surveillance in agricultural systems. Further research is needed to assess the publichealth risk associated with different microbial resistomes. MenosMetagenomic investigations have the potential to provide unprecedented insights into microbial ecologies, such as those relating to antimicrobial resistance (AMR). We characterized the microbial resistome in livestock operations raising cattle conventionally (CONV) or without antibiotic exposures (RWA) using shotgun metagenomics. Samples of feces, wastewater from catchment basins, and soil where wastewater was applied were collected from CONV and RWA feedlot and dairy farms. After DNA extraction and sequencing, shotgun metagenomic reads were aligned to reference databases for identification of bacteria (Kraken) and antibiotic resistance genes (ARGs) accessions (MEGARes). Differences in microbial resistomes were found across farms with different production practices (CONV vs. RWA), types of cattle (beef vs. dairy), and types of sample (feces vs. wastewater vs. soil). Feces had the greatest number of ARGs per sample (mean = 118 and 79 in CONV and RWA, respectively), with tetracycline efflux pumps, macrolide phosphotransferases, and aminoglycoside nucleotidyltransferases mechanisms of resistance more abundant in CONV than in RWA feces. Tetracycline and macrolide-lincosamide-streptogramin classes of resistance were more abundant in feedlot cattle than in dairy cow feces, whereas the b-lactam class was more abundant in dairy cow feces. Lack of congruence between ARGs and microbial communities (procrustes analysis) suggested that other factors (e.g., location of farms, cattle sour... Presentar Todo |
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Palabras claves : |
ANTIBIOTIC RESISTANCE; CATTLE; CATTLE BEEF; DAIRY CATTLE; METAGENOMICA; METAGENOMICS; MICROBIOMA; MICROBIOME; RESISTENCIA A ANTIBIÓTICOS; RESISTOME. |
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Thesagro : |
BOVINOS; BOVINOS DE CARNE; GANADO LECHERO. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13237/1/Rovira-Front-microb-2019.pdf
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Marc : |
LEADER 03681naa a2200457 a 4500
001 1060137
005 2021-03-16
008 2019 bl uuuu u00u1 u #d
024 7 $a10.3389/fmicb.2019.01980$2DOI
100 1 $aROVIRA, P.J.
245 $aCharacterization of the microbial resistome in conventional and "raised without antibiotics" beef and dairy production systems.$h[electronic resource]
260 $c2019
500 $aReceived 18 March 2019 // Accepted 12 August 2019 // Published 4 September 2019.
520 $aMetagenomic investigations have the potential to provide unprecedented insights into microbial ecologies, such as those relating to antimicrobial resistance (AMR). We characterized the microbial resistome in livestock operations raising cattle conventionally (CONV) or without antibiotic exposures (RWA) using shotgun metagenomics. Samples of feces, wastewater from catchment basins, and soil where wastewater was applied were collected from CONV and RWA feedlot and dairy farms. After DNA extraction and sequencing, shotgun metagenomic reads were aligned to reference databases for identification of bacteria (Kraken) and antibiotic resistance genes (ARGs) accessions (MEGARes). Differences in microbial resistomes were found across farms with different production practices (CONV vs. RWA), types of cattle (beef vs. dairy), and types of sample (feces vs. wastewater vs. soil). Feces had the greatest number of ARGs per sample (mean = 118 and 79 in CONV and RWA, respectively), with tetracycline efflux pumps, macrolide phosphotransferases, and aminoglycoside nucleotidyltransferases mechanisms of resistance more abundant in CONV than in RWA feces. Tetracycline and macrolide-lincosamide-streptogramin classes of resistance were more abundant in feedlot cattle than in dairy cow feces, whereas the b-lactam class was more abundant in dairy cow feces. Lack of congruence between ARGs and microbial communities (procrustes analysis) suggested that other factors (e.g., location of farms, cattle source, management practices, diet, horizontal ARGs transfer, and co-selection of resistance), in addition to antimicrobial use, could have impacted resistome profiles. For that reason, we could not establish a cause-effect relationship between antimicrobial use and AMR, although ARGs in feces and effluents were associated with drug classes used to treat animals according to farms' records (tetracyclines and macrolides in feedlots, b-lactams in dairies), whereas ARGs in soil were dominated by multidrug resistance. Characterization of the "resistance potential" of animal-derived and environmental samples is the first step toward incorporating metagenomic approaches into AMR surveillance in agricultural systems. Further research is needed to assess the publichealth risk associated with different microbial resistomes.
650 $aBOVINOS
650 $aBOVINOS DE CARNE
650 $aGANADO LECHERO
653 $aANTIBIOTIC RESISTANCE
653 $aCATTLE
653 $aCATTLE BEEF
653 $aDAIRY CATTLE
653 $aMETAGENOMICA
653 $aMETAGENOMICS
653 $aMICROBIOMA
653 $aMICROBIOME
653 $aRESISTENCIA A ANTIBIÓTICOS
653 $aRESISTOME
700 1 $aMCALLISTER, T.
700 1 $aLAKIN, S.M.
700 1 $aCOOK, S.R.
700 1 $aDOSTER, E.
700 1 $aNOYES, N. R.
700 1 $aWEINROTH, M.D.
700 1 $aYANG, X.
700 1 $aPARKER, J. K.
700 1 $aBOUCHER, C.
700 1 $aBOOKER, C. W.
700 1 $aWOENER, D. R.
700 1 $aBELK, K. E.
700 1 $aMORLEY, P. S.
773 $tFrontier in Microbiology, September 2019.$gv. 10, article 1980, 11 p. OPEN ACCESS.
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