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Registros recuperados : 8 | |
1. | | CALLEROS,L.; BARCELLOS M.; BETANCOR, L.; DELPIAZZO, R.; FRAGA, M.; IRAOLA, G.; MORSELLA, C.; PAOLICCH, F.; PÉREZ ,R. Detección e identificación rápida de Campylobacter fetus en el ganado bovino mediante métodos moleculare. [Resumen]. En: CONGRESO ASOCIACIÓN URUGUAYA DE PRODUCCIÓN ANIMAL (6º, Marzo, 2018, Tacuarembó, Uruguay). Tacuarembó: AUPA, 2018. p. 146.Biblioteca(s): INIA La Estanzuela. |
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2. | | DELPIAZZO, R.; CALLEROS, L.; BARCELLOS, M.; PAOLICCHI, F.; MORSELLA, C.; SILVEIRA, C.S.; FRAGA, M.; RIET-CORREA, F. Identificación de Campylobacter fetus por cultivo y real time PCR en muestras propuciales de toros. In: JORNADAS URUGUAYAS DE BUIATRÍA, 47., 2019, PAYSANDÚ, UY.; MATTO, C.; GIANEECHINI, E. (Ed.). Paysandú: Centro Médico Veterinario de Paysandú/Sociedad Uruguaya de Buiatría, 2019. p. 167-170 1688-6674Biblioteca(s): INIA Tacuarembó. |
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3. | | COSTA, D.; ARÁOZ, V.; BARCELLOS, M.; CAFFARENA, D.; FRAGA, M.; GIANNITTI, F.; MONESIGLIO, M.C.; PÉREZ , R.; SILVEIRA, C.S.; CALLEROS, L. Complete genome sequence of campylobacter fetus isolated from a sheep. Microbiology Resource Announcements, 5 November 2020, Volume 9, Issue 45, Article number e01008-20. Open Access. Doi: https://doi.org/10.1128/MRA.01008-20 Article history: Received 28 August 2020/ Accepted 20 October 2020/ Published 5 November 2020.Biblioteca(s): INIA La Estanzuela. |
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4. | | DELPIAZZO, R.; BARCELLOS, M.; BARROS, S.; BENTANCOR, L.; FRAGA, M.; GIL, J.; IRAOLA, G.; MORSELLA, C.; PAOLICCHI, F.; PÉREZ, R.; RIET-CORREA, F.; SANGUINETTI, M.; SILVA, A.; SILVEIRA, C.S.; CALLEROS, L. Accurate and fast identification of Campylobacter fetus in bulls by real-time PCR targeting a 16S rRNA gene sequence. Veterinary and Animal Science, January 2021, vol.11 no. 100165, 5 p. OPEN ACCESS. Doi: https://doi.org/10.1016/j.vas.2020.100163 Article history: Received 21 October 2020 / Received in revised form 20 December 2020 / Accepted 22 December 2020 / available online 24 December 2020.
Corresponding author: laurabet@higiene.edu.uyBiblioteca(s): INIA Treinta y Tres. |
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5. | | DORSCH, M.; CASAUX, M.L.; CALLEROS, L.; ARÁOZ, V.; CAFFARENA, D.; MONESIGLIO, M.C.; BARCELLOS, M.; SILVEIRA, C.S.; PERDOMO, T.; BANCHERO, G.; UZAL, F.A.; FRAGA, M.; GIANNITTI, F. Corrigendum to "Placentitis and abortion caused by a multidrug resistant strain of Campylobacter fetus subspecies fetus in a sheep in Uruguay". (Revista Argentina de Microbiologia (2022) 54(1) (25-30), (S0325754121000389), (10.1016/j.ram.2021.02.005)). Erratum. Revista Argentina de Microbiologia. 2023, Volume 55, Issue 4, Pages 397-398. https://doi.org/10.1016/j.ram.2023.11.002 -- OPEN ACCESS. Article history: Available online 21 December 2023; Version of Record 21 December 2023. -- Correspondence: Giannitti, F.; Plataforma de Investigación en Salud Animal, Instituto Nacional de Investigación Agropecuaria (INIA), Ruta 50 Km 11,...Biblioteca(s): INIA Las Brujas. |
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6. | | DORSCH, M.; CASAUX, M.L.; CALLEROS, L.; ARÁOZ, V.; CAFFARENA, D.; MONESIGLIO, M.C.; BARCELLOS, M; SILVEIRA, C.S.; PERDOMO, T.; BANCHERO, G.; UZAL, F.A.; FRAGA, M.; GIANNITTI, F. Placentitis and abortion caused by a multidrug resistant strain of Campylobacter fetus subspecies fetus in a sheep in Uruguay. Revista Argentina de Microbiología, 2022, volume 54, issue 1, pages 25-30. Open Acces. Doi:https://doi.org/10.1016/j.ram.2021.02.005 Article history: Received 22 July 2020/ Accepted 28 February 2021. Corresponding author:E-mail address: fgiannitti@inia.org.uy (F. Giannitti).
This work was financially supported by grants N-15156 PL 150 00 and PL 27 N-23398 of the...Biblioteca(s): INIA La Estanzuela. |
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7. | | DORSCH, M.; FRANCIA, M.E.; TANA, L.R.; GONZÁLEZ, F.C.; CABRERA, A.; CALLEROS, L.; SANGUINETTI, M.; BARCELLOS, M.; ZARANTONELLI, L; CIUFFO, C.; MAYA, L.; CASTELLS, M.; MIRAZO, S.; SILVEIRA, C.S.; RABAZA, A.; CAFFARENA, D.; DONCEL, B.; ARÁOZ, V.; MATTO, C.; RMENDANO, J.I.; SALADA, S.; FRAGA, M.; FIERRO, S.; GIANNITTI, F. Diagnostic investigation of 100 cases of abortion in sheep in Uruguay: 2015-2021. Frontiers in Veterinary Science, 2022; i. 9:904786. OPEN ACCESS. Doi: https://doi.org/10.3389/fvets.2022.904786. Article history: Received: 25 March 2022/Accepted: 13 April 2022/Published: 19 May 2022.Biblioteca(s): INIA La Estanzuela. |
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8. | | GIANNITTI, F.; FRANCIA, M.E.; TANA, L.; GONZÁLEZ, F.; CABRERA, A.; CALLEROS, L.; SANGUINETTI, M.; BARCELLOS, M.; ZARANTONELLI, L.; CIUFFO, C.; MAYA, L.; CASTELLS, M.; COLINA, R.; MIRAZO, S.; SILVEIRA, C.S.; RABAZA, A.; CAFFARENA, D.; DONCEL, B.; ARÁOZ, V.; MATTO, C.; ARMENDANO, J.; SALADA, S.; SARAVIA, A.; CASAUX, M.L.; SCHILD, C.; PERDOMO, Y.; FRAGA, M.; FIERRO, S.; DORSCH, M. Causas de aborto en ovinos de Uruguay: 100 casos, 2015-2021. Producción Animal. Revista INIA Uruguay, Setiembre 2022, no.70, p.18-22. (Revista INIA; 70). Agradecimientos: A todos los productores y técnicos del SUL y actividad liberal que enviaron casos al laboratorio y a los funcionarios de INIA, Institut Pasteur de Montevideo, Udelar y DILAVE que contribuyeron con los análisis de...Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 8 | |
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| Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
Registro completo
|
Biblioteca (s) : |
INIA La Estanzuela; INIA Treinta y Tres. |
Fecha actual : |
20/08/2019 |
Actualizado : |
16/03/2021 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
LEZAMA, F.; PEREIRA, M.; ALTESOR, A.; PARUELO, J. |
Afiliación : |
FELIPE LEZAMA; MARCELO PEREIRA; ALICIA ALTESOR; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Grasslands of Uruguay: classification based on vegetation plots. |
Fecha de publicación : |
2019 |
Fuente / Imprenta : |
Phytocoenologia, 2019, v. 49(3): 211-229. Doi: https://doi.org/10.1127/phyto/2019/0215 |
DOI : |
10.1127/phyto/2019/0215 |
Idioma : |
Inglés |
Notas : |
Article history: Submitted: 25 May 2017 //First decision: 6 October 2017// Accepted: 22 August 2018.// Co-ordinating Editor: Idoia Biurrun. |
Contenido : |
Abstract:
Aims: The Rio de la Plata grasslands are one of the largest areas of temperate humid and sub-humid grasslands
of the world. A substantial fraction of these natural grasslands are preserved in Uruguay, occupying more than
60% of the country. So far, Uruguayan grasslands have been indirectly classified using only geomorphological
and edaphic criteria. An adequate description of vegetation heterogeneity is a prerequisite to study ecosystem
function and to design management and conservation strategies for this region. To this end, we present a classification of the natural grassland communities of Uruguay based on a wide and comprehensive set of phytosociological relevés. Study area: Uruguay. Methods: Three hundred eight grassland relevés were utilized for classification and ordination multivariate analyses. Agglomerative clustering based on the flexible Beta linkage
method and Sørensen distance measure were employed to identify relevé groups. Indicator species analysis was
also performed to identify diagnostic species. We used Non-metric multidimensional scaling to determine the
main floristic gradients. Results: Five communities and 14 sub-communities were identified. Two of the communities were restricted to the ?Basaltic? region of central and northern Uruguay, while the other three were
distributed through the Eastern Hills, North Eastern Sedimentary Basin and the South Central regions. Three
of the communities correspond to densely-vegetated grasslands associated with medium and deep soils. The
remaining two communities correspond to sparsely-vegetated grasslands on shallow soils. The main floristic
gradient separated sparsely-vegetated grasslands from densely-vegetated ones, and was related to soil and topographical characteristics. The second floristic gradient separated grasslands by their different geological substrates. Conclusions: In this study, we present the first attempt to conduct a vegetation classification of Uruguayan grasslands based on floristic composition. Vegetation typologies, like the one we propose, can be used
as a framework to extrapolate point information on grassland management and vulnerability.
Keywords: Campos; cool-season grass; grassland; Indicator Species Analysis; phytosociological MenosAbstract:
Aims: The Rio de la Plata grasslands are one of the largest areas of temperate humid and sub-humid grasslands
of the world. A substantial fraction of these natural grasslands are preserved in Uruguay, occupying more than
60% of the country. So far, Uruguayan grasslands have been indirectly classified using only geomorphological
and edaphic criteria. An adequate description of vegetation heterogeneity is a prerequisite to study ecosystem
function and to design management and conservation strategies for this region. To this end, we present a classification of the natural grassland communities of Uruguay based on a wide and comprehensive set of phytosociological relevés. Study area: Uruguay. Methods: Three hundred eight grassland relevés were utilized for classification and ordination multivariate analyses. Agglomerative clustering based on the flexible Beta linkage
method and Sørensen distance measure were employed to identify relevé groups. Indicator species analysis was
also performed to identify diagnostic species. We used Non-metric multidimensional scaling to determine the
main floristic gradients. Results: Five communities and 14 sub-communities were identified. Two of the communities were restricted to the ?Basaltic? region of central and northern Uruguay, while the other three were
distributed through the Eastern Hills, North Eastern Sedimentary Basin and the South Central regions. Three
of the communities correspond to densely-vegetated grasslands associate... Presentar Todo |
Palabras claves : |
CAMPOS; COOL-SEASON GRASS; GRASSLAND; INDICATOR SPECIES ANALYSIS; PHYTOSOCIOLOGICAL RELEVÉ; SOIL DEPTH; SPECIES RICHNESS; VEGETATION CLASSIFICATION; WARM-SEASON GRASS. |
Thesagro : |
PASTURAS; URUGUAY. |
Asunto categoría : |
A50 Investigación agraria |
Marc : |
LEADER 03302naa a2200313 a 4500 001 1060036 005 2021-03-16 008 2019 bl uuuu u00u1 u #d 024 7 $a10.1127/phyto/2019/0215$2DOI 100 1 $aLEZAMA, F. 245 $aGrasslands of Uruguay$bclassification based on vegetation plots.$h[electronic resource] 260 $c2019 500 $aArticle history: Submitted: 25 May 2017 //First decision: 6 October 2017// Accepted: 22 August 2018.// Co-ordinating Editor: Idoia Biurrun. 520 $aAbstract: Aims: The Rio de la Plata grasslands are one of the largest areas of temperate humid and sub-humid grasslands of the world. A substantial fraction of these natural grasslands are preserved in Uruguay, occupying more than 60% of the country. So far, Uruguayan grasslands have been indirectly classified using only geomorphological and edaphic criteria. An adequate description of vegetation heterogeneity is a prerequisite to study ecosystem function and to design management and conservation strategies for this region. To this end, we present a classification of the natural grassland communities of Uruguay based on a wide and comprehensive set of phytosociological relevés. Study area: Uruguay. Methods: Three hundred eight grassland relevés were utilized for classification and ordination multivariate analyses. Agglomerative clustering based on the flexible Beta linkage method and Sørensen distance measure were employed to identify relevé groups. Indicator species analysis was also performed to identify diagnostic species. We used Non-metric multidimensional scaling to determine the main floristic gradients. Results: Five communities and 14 sub-communities were identified. Two of the communities were restricted to the ?Basaltic? region of central and northern Uruguay, while the other three were distributed through the Eastern Hills, North Eastern Sedimentary Basin and the South Central regions. Three of the communities correspond to densely-vegetated grasslands associated with medium and deep soils. The remaining two communities correspond to sparsely-vegetated grasslands on shallow soils. The main floristic gradient separated sparsely-vegetated grasslands from densely-vegetated ones, and was related to soil and topographical characteristics. The second floristic gradient separated grasslands by their different geological substrates. Conclusions: In this study, we present the first attempt to conduct a vegetation classification of Uruguayan grasslands based on floristic composition. Vegetation typologies, like the one we propose, can be used as a framework to extrapolate point information on grassland management and vulnerability. Keywords: Campos; cool-season grass; grassland; Indicator Species Analysis; phytosociological 650 $aPASTURAS 650 $aURUGUAY 653 $aCAMPOS 653 $aCOOL-SEASON GRASS 653 $aGRASSLAND 653 $aINDICATOR SPECIES ANALYSIS 653 $aPHYTOSOCIOLOGICAL RELEVÉ 653 $aSOIL DEPTH 653 $aSPECIES RICHNESS 653 $aVEGETATION CLASSIFICATION 653 $aWARM-SEASON GRASS 700 1 $aPEREIRA, M. 700 1 $aALTESOR, A. 700 1 $aPARUELO, J. 773 $tPhytocoenologia, 2019$gv. 49(3): 211-229. Doi: https://doi.org/10.1127/phyto/2019/0215
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