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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
24/03/2022 |
Actualizado : |
24/03/2022 |
Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
Autor : |
FERNANDEZ, E.; LANFRANCO, B.; BANCHERO, G.; PEREZ, E.; LA MANNA, A.; CANOZZI, M.E.A.; CLARIGET, J.M. |
Afiliación : |
ENRIQUE GENARO FERNANDEZ RODRIGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; BRUNO ANTONIO LANFRANCO CRESPO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GEORGGET ELIZABETH BANCHERO HUNZIKER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; EDUARDO FABIAN PEREZ ARRUTTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALEJANDRO FRANCISCO LA MANNA ALONSO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARÍA EUGENIA ANDRIGHETTO CANOZZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN MANUEL CLARIGET BRIZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Producción y eficiencia en sistemas ganaderos intensivos. |
Complemento del título : |
Socio-Economía. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
Revista INIA Uruguay, Marzo 2022, no.68, p.31-35. |
Serie : |
(Revista INIA; 68). |
ISSN : |
1510-9011 |
Idioma : |
Español |
Contenido : |
El presente artículo analiza los aspectos centrales del componente productivo en sistemas ganaderos intensivos, con foco en la eficiencia de los factores e insumos de producción y tomando como referencia la experiencia del Sistema "Invernada 365" de INIA La Estanzuela. |
Palabras claves : |
UNIDAD DE ECONOMÍA APLICADA (INIA). |
Thesagro : |
ADOPCION DE TECNOLOGIA; PRODUCCION DE CARNE. |
Asunto categoría : |
A50 Investigación agraria |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16340/1/Revista-INIA-68-Marzo-2022-09.pdf
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Marc : |
LEADER 00991naa a2200253 a 4500 001 1062893 005 2022-03-24 008 2022 bl uuuu u00u1 u #d 022 $a1510-9011 100 1 $aFERNANDEZ, E. 245 $aProducción y eficiencia en sistemas ganaderos intensivos.$h[electronic resource] 260 $c2022 490 $a(Revista INIA; 68). 520 $aEl presente artículo analiza los aspectos centrales del componente productivo en sistemas ganaderos intensivos, con foco en la eficiencia de los factores e insumos de producción y tomando como referencia la experiencia del Sistema "Invernada 365" de INIA La Estanzuela. 650 $aADOPCION DE TECNOLOGIA 650 $aPRODUCCION DE CARNE 653 $aUNIDAD DE ECONOMÍA APLICADA (INIA) 700 1 $aLANFRANCO, B. 700 1 $aBANCHERO, G. 700 1 $aPEREZ, E. 700 1 $aLA MANNA, A. 700 1 $aCANOZZI, M.E.A. 700 1 $aCLARIGET, J.M. 773 $tRevista INIA Uruguay, Marzo 2022, no.68, p.31-35.
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INIA Las Brujas (LB) |
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
04/09/2019 |
Actualizado : |
16/03/2021 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
-- - -- |
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. |
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. |
Título : |
Characterization of the microbial resistome in conventional and "raised without antibiotics" beef and dairy production systems. |
Fecha de publicación : |
2019 |
Fuente / Imprenta : |
Frontier in Microbiology, September 2019. v. 10, article 1980, 11 p. OPEN ACCESS. |
DOI : |
10.3389/fmicb.2019.01980 |
Idioma : |
Inglés |
Notas : |
Received 18 March 2019 // Accepted 12 August 2019 // Published 4 September 2019. |
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 |
Palabras claves : |
ANTIBIOTIC RESISTANCE; CATTLE; CATTLE BEEF; DAIRY CATTLE; METAGENOMICA; METAGENOMICS; MICROBIOMA; MICROBIOME; RESISTENCIA A ANTIBIÓTICOS; RESISTOME. |
Thesagro : |
BOVINOS; BOVINOS DE CARNE; GANADO LECHERO. |
Asunto categoría : |
-- |
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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