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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
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Fecha : |
21/02/2014 |
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Actualizado : |
24/06/2019 |
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Tipo de producción científica : |
Actividades de Difusión |
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Autor : |
INIA TACUAREMBÓ |
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Afiliación : |
ESTACIÓN EXPERIMENTAL DEL NORTE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Tecnologías de producción ganadera para Basalto. |
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Complemento del título : |
ESTACIÓN EXPERIMENTAL GLENCOE, JORNADA, 11 SETIEMBRE, TACUAREMBÓ, 1997. |
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Fecha de publicación : |
1997 |
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Fuente / Imprenta : |
Tacuarembó (Uruguay): INIA, 1997. |
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Páginas : |
Paginación irregular. |
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Serie : |
(INIA Serie Actividades de Difusión ; 145) |
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Idioma : |
Español |
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Notas : |
Presentación: C. Paolino, E.J. Berretta. |
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Contenido : |
Presentación. Avances Tecnológicos para la Región Basáltica: 1. Pasturas. Evolución y producción de vegetaciones naturales. de Basalto con fertilización NP. Caracterización de un mejoramiento de campo en engorde de novillos jóvenes. Siembra directa para el mejoramiento de campos en suelos sobre Basalto. Avances Tecnológicos para la Región Basáltica: 2. Producción Ovina. Estrategias de alimentación y manejo invernal de la recría ovina en Basalto. Medidas de manejo para el control de parásitos gastrointestinales en corderos de destete: utilización de pasturas seguras. Alimentación de la oveja de cría durante el último tercio de gestación con campo natural y mejoramientos extensivos. Producción de carne ovina en sistemas laneros de la región de Basalto. Suplementación mineral de borregas pastoreando campo natural de Basalto. Avances Tecnológicos para la Región Basáltica: 3. Bovinos para Carne. Estudio económico de diferentes alternativas de producción
de pasturas. Estudio económico de alternativas tecnológicas para Basalto. Anexo. Apéndice. |
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Palabras claves : |
ANIMAL PRODUCTION. |
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Thesagro : |
ANALISIS ECONOMICO; CAMBIO TECNOLOGICO; GANADO BOVINO; GANADO DE CARNE; MANEJO DE PRADERAS; OVINOS; SUELO BASALTICO; URUGUAY. |
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Asunto categoría : |
L01 Ganadería |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/9642/1/GLENCOE-1997Set-SAD-145.pdf
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Marc : |
LEADER 01811nam a2200253 a 4500
001 1017199
005 2019-06-24
008 1997 bl uuuu u00u1 u #d
100 1 $aINIA TACUAREMBÓ
245 $aTecnologías de producción ganadera para Basalto.
260 $aTacuarembó (Uruguay): INIA$c1997
300 $aPaginación irregular.
490 $a(INIA Serie Actividades de Difusión ; 145)
500 $aPresentación: C. Paolino, E.J. Berretta.
520 $aPresentación. Avances Tecnológicos para la Región Basáltica: 1. Pasturas. Evolución y producción de vegetaciones naturales. de Basalto con fertilización NP. Caracterización de un mejoramiento de campo en engorde de novillos jóvenes. Siembra directa para el mejoramiento de campos en suelos sobre Basalto. Avances Tecnológicos para la Región Basáltica: 2. Producción Ovina. Estrategias de alimentación y manejo invernal de la recría ovina en Basalto. Medidas de manejo para el control de parásitos gastrointestinales en corderos de destete: utilización de pasturas seguras. Alimentación de la oveja de cría durante el último tercio de gestación con campo natural y mejoramientos extensivos. Producción de carne ovina en sistemas laneros de la región de Basalto. Suplementación mineral de borregas pastoreando campo natural de Basalto. Avances Tecnológicos para la Región Basáltica: 3. Bovinos para Carne. Estudio económico de diferentes alternativas de producción de pasturas. Estudio económico de alternativas tecnológicas para Basalto. Anexo. Apéndice.
650 $aANALISIS ECONOMICO
650 $aCAMBIO TECNOLOGICO
650 $aGANADO BOVINO
650 $aGANADO DE CARNE
650 $aMANEJO DE PRADERAS
650 $aOVINOS
650 $aSUELO BASALTICO
650 $aURUGUAY
653 $aANIMAL PRODUCTION
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Registro original : |
INIA Tacuarembó (TBO) |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
04/11/2019 |
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Actualizado : |
03/12/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
-- - -- |
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Autor : |
DOSTER, E.; ROVIRA, P.J.; NOYES, N.R.; BURGESS, B.A.; YANG, X.; WEINROTH, M.D.; LINKE, L.; MAGNUSON, R.; BOUCHER, C.; BELK, K.E.; MORLEY, P.S. |
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Afiliación : |
ENRIQUE DOSTER, Department in Microbiology, Immunology and Pathology, Colorado State University, USA.; PABLO JUAN ROVIRA SANZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NOELLE R. NOYES, Department of Veterinary Population Medicine, University of Minnesota, USA.; BRANDY A. BURGESS, Department of Population Health, University of Georgia, USA.; XIANG YANG, Department of Animal Science, University of California, Davis, Davis, CA, USA.; MARGARET D. WEINROTH, Department of Animal Sciences, Colorado State University, USA.; LINDSEY LINKE, Department of Clinical Sciences, Colorado State University, USA.; ROBERTA MAGNUSON, Department of Clinical Sciences, Colorado State University, USA.; CHRISTINA BOUCHER, Department of Computer and Information Science and Engineering, University of Florida, Florida, USA.; KEITH E. BELK, Department of Animal Sciences, Colorado State University, Colorado, USA.; PAUL S. MORLEY, Veterinary Education, Research, and Outreach Center, West Texas A&M University, Texas, USA. |
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Título : |
A cautionary report for pathogen identification using shotgun metagenomics; a comparison to aerobic culture and polymerase chain reaction for Salmonella enterica identification. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Frontier in Microbiology, 2019, 10:2499. doi: 10.3389/fmicb.2019.02499 |
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Páginas : |
7 p. |
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DOI : |
10.3389/fmicb.2019.02499 |
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Idioma : |
Inglés |
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Notas : |
Article history: received: 8 July 2019 // Accepted 16 October 2019 // Published 01 November 2019.
Open Access Journal. www.frontiersin.org |
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Contenido : |
This study was conducted to compare aerobic culture, polymerase chain reaction (PCR), lateral flow immunoassay (LFI), and shotgun metagenomics for identification
of Salmonella enterica in feces collected from feedlot cattle. Samples were analyzed in parallel using all four tests. Results from aerobic culture and PCR were 100%
concordant and indicated low S. enterica prevalence (3/60 samples positive). Although low S. enterica prevalence restricted formal statistical comparisons, LFI and deep metagenomic sequencing results were discordant with these results. Specifically, metagenomic analysis using k-mer-based classification against the RefSeq database indicated that 11/60 of samples contained sequence reads that matched to the S. enterica genome and uniquely identified this species of bacteria within the sample. However, further examination revealed that plasmid sequences were often included with bacterial genomic sequence data submitted to NCBI, which can lead to incorrect taxonomic classification. To circumvent this classification problem, we separated all plasmid sequences included in bacterial RefSeq genomes and reassigned them to a unique taxon so that they would not be uniquely associated with specific bacterial species such as S. enterica. Using this revised database and taxonomic structure, we found that only 6/60 samples contained sequences specific for S. enterica, suggesting increased relative specificity. Reads identified as S. enterica in these six samples were further evaluated using BLAST and NCBI?s nr/nt database, which identified that only 2/60 samples contained reads exclusive to S. enterica chromosomal genomes. These two samples were culture- and PCR-negative, suggesting that even deep metagenomic sequencing suffers from lower sensitivity and specificity in comparison to more traditional pathogen detection methods. Additionally, no sample reads were taxonomically classified as S. enterica with two other metagenomic tools, Metagenomic Intra-species Diversity Analysis System (MIDAS) and Metagenomic Phylogenetic Analysis 2 (MetaPhlAn2). This study re-affirmed that the traditional techniques of aerobic culture and PCR provide similar results for S. enterica identification in cattle feces. On the other hand, metagenomic results are highly influenced by the classification method and reference database employed. These results highlight the nuances of computational detection of species-level sequences within short-read metagenomic sequence data, and emphasize the need for cautious interpretation of such results. MenosThis study was conducted to compare aerobic culture, polymerase chain reaction (PCR), lateral flow immunoassay (LFI), and shotgun metagenomics for identification
of Salmonella enterica in feces collected from feedlot cattle. Samples were analyzed in parallel using all four tests. Results from aerobic culture and PCR were 100%
concordant and indicated low S. enterica prevalence (3/60 samples positive). Although low S. enterica prevalence restricted formal statistical comparisons, LFI and deep metagenomic sequencing results were discordant with these results. Specifically, metagenomic analysis using k-mer-based classification against the RefSeq database indicated that 11/60 of samples contained sequence reads that matched to the S. enterica genome and uniquely identified this species of bacteria within the sample. However, further examination revealed that plasmid sequences were often included with bacterial genomic sequence data submitted to NCBI, which can lead to incorrect taxonomic classification. To circumvent this classification problem, we separated all plasmid sequences included in bacterial RefSeq genomes and reassigned them to a unique taxon so that they would not be uniquely associated with specific bacterial species such as S. enterica. Using this revised database and taxonomic structure, we found that only 6/60 samples contained sequences specific for S. enterica, suggesting increased relative specificity. Reads identified as S. enterica in these six samples were ... Presentar Todo |
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Palabras claves : |
CULTURE; PATHOGEN IDENTIFICATION; PCR; SALMONELLA ENTERICA; SHOTGUN METAGENOMICS. |
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Thesagro : |
CATTLE; FEEDLOT; VACAS. |
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Asunto categoría : |
L73 Enfermedades de los animales |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13700/1/Rovira-arb-2019-Frontiers-Microbiology.pdf
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Marc : |
LEADER 03789naa a2200373 a 4500
001 1060378
005 2019-12-03
008 2019 bl uuuu u00u1 u #d
024 7 $a10.3389/fmicb.2019.02499$2DOI
100 1 $aDOSTER, E.
245 $aA cautionary report for pathogen identification using shotgun metagenomics; a comparison to aerobic culture and polymerase chain reaction for Salmonella enterica identification.$h[electronic resource]
260 $c2019
300 $a7 p.
500 $aArticle history: received: 8 July 2019 // Accepted 16 October 2019 // Published 01 November 2019. Open Access Journal. www.frontiersin.org
520 $aThis study was conducted to compare aerobic culture, polymerase chain reaction (PCR), lateral flow immunoassay (LFI), and shotgun metagenomics for identification of Salmonella enterica in feces collected from feedlot cattle. Samples were analyzed in parallel using all four tests. Results from aerobic culture and PCR were 100% concordant and indicated low S. enterica prevalence (3/60 samples positive). Although low S. enterica prevalence restricted formal statistical comparisons, LFI and deep metagenomic sequencing results were discordant with these results. Specifically, metagenomic analysis using k-mer-based classification against the RefSeq database indicated that 11/60 of samples contained sequence reads that matched to the S. enterica genome and uniquely identified this species of bacteria within the sample. However, further examination revealed that plasmid sequences were often included with bacterial genomic sequence data submitted to NCBI, which can lead to incorrect taxonomic classification. To circumvent this classification problem, we separated all plasmid sequences included in bacterial RefSeq genomes and reassigned them to a unique taxon so that they would not be uniquely associated with specific bacterial species such as S. enterica. Using this revised database and taxonomic structure, we found that only 6/60 samples contained sequences specific for S. enterica, suggesting increased relative specificity. Reads identified as S. enterica in these six samples were further evaluated using BLAST and NCBI?s nr/nt database, which identified that only 2/60 samples contained reads exclusive to S. enterica chromosomal genomes. These two samples were culture- and PCR-negative, suggesting that even deep metagenomic sequencing suffers from lower sensitivity and specificity in comparison to more traditional pathogen detection methods. Additionally, no sample reads were taxonomically classified as S. enterica with two other metagenomic tools, Metagenomic Intra-species Diversity Analysis System (MIDAS) and Metagenomic Phylogenetic Analysis 2 (MetaPhlAn2). This study re-affirmed that the traditional techniques of aerobic culture and PCR provide similar results for S. enterica identification in cattle feces. On the other hand, metagenomic results are highly influenced by the classification method and reference database employed. These results highlight the nuances of computational detection of species-level sequences within short-read metagenomic sequence data, and emphasize the need for cautious interpretation of such results.
650 $aCATTLE
650 $aFEEDLOT
650 $aVACAS
653 $aCULTURE
653 $aPATHOGEN IDENTIFICATION
653 $aPCR
653 $aSALMONELLA ENTERICA
653 $aSHOTGUN METAGENOMICS
700 1 $aROVIRA, P.J.
700 1 $aNOYES, N.R.
700 1 $aBURGESS, B.A.
700 1 $aYANG, X.
700 1 $aWEINROTH, M.D.
700 1 $aLINKE, L.
700 1 $aMAGNUSON, R.
700 1 $aBOUCHER, C.
700 1 $aBELK, K.E.
700 1 $aMORLEY, P.S.
773 $tFrontier in Microbiology, 2019, 10:2499. doi: 10.3389/fmicb.2019.02499
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