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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
11/06/2018 |
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Actualizado : |
05/03/2021 |
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Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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Autor : |
SILVEIRA, C.S.; CASAUX, L.; ARÁOZ, V.; MACÍAS-RIOSECO, M.; FRAGA, M.; GIANNITTI, F. |
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Afiliación : |
CAROLINE DA SILVA SILVEIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARÍA LAURA CASAUX, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; VIRGINIA ARÁOZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MELISSA MACÍAS RIOSECO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARTIN FRAGA COTELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FEDERICO GIANNITTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./Veterinary Population Medicine Department, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN, United States. |
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Título : |
Abomastitis enfisematosa asociada a Sarcina spp. en una ternera Holstein. |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
In: Jornadas Uruguayas de Buiatría, 46., 2018, Paysandú, Uy., Matto, C.; Delpiazzo, R.(Ed.). Trabajos presentados. Paysandú: Centro Médico Veterinario de Paysandú/Sociedad Uruguaya de Buiatría, 2018. |
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Páginas : |
p. 178-180. |
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Idioma : |
Español |
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Palabras claves : |
BRONCONEUMONÍA; DILATACION DE ABOMASO; MORTALIDAD EN TERNEROS EN TAMBO; SALUD ANIMAL; TERNERA NEONATO. |
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Asunto categoría : |
L73 Enfermedades de los animales |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12741/1/JUB-no.46.2018.p.178-180-Silveira-et-al..pdf
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Marc : |
LEADER 00839naa a2200241 a 4500
001 1058692
005 2021-03-05
008 2018 bl uuuu u00u1 u #d
100 1 $aSILVEIRA, C.S.
245 $aAbomastitis enfisematosa asociada a Sarcina spp. en una ternera Holstein.
260 $c2018
300 $ap. 178-180.
653 $aBRONCONEUMONÍA
653 $aDILATACION DE ABOMASO
653 $aMORTALIDAD EN TERNEROS EN TAMBO
653 $aSALUD ANIMAL
653 $aTERNERA NEONATO
700 1 $aCASAUX, L.
700 1 $aARÁOZ, V.
700 1 $aMACÍAS-RIOSECO, M.
700 1 $aFRAGA, M.
700 1 $aGIANNITTI, F.
773 $tIn: Jornadas Uruguayas de Buiatría, 46., 2018, Paysandú, Uy., Matto, C.; Delpiazzo, R.(Ed.). Trabajos presentados. Paysandú: Centro Médico Veterinario de Paysandú/Sociedad Uruguaya de Buiatría, 2018.
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Registro original : |
INIA La Estanzuela (LE) |
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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 : |
12/09/2014 |
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Actualizado : |
27/09/2018 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
B - 1 |
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Autor : |
BAEZA, S.; LEZAMA, F.; PIÑEIRO, G.; ALTESOR, A.; PARUELO, J.M. |
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Afiliación : |
FELIPE LEZAMA HUERTA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Spatial variability of above-ground net primary production in Uruguayan grasslands: A remote sensing approach. |
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Fecha de publicación : |
2010 |
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Fuente / Imprenta : |
Applied Vegetation Science, 2010, v. 13, no. 1 p. 72-85. |
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ISSN : |
1654-109X |
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DOI : |
10.1111/j.1654-109X.2009.01051.x |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 4 November 2008; accepted 16 July 2009. Published in 2010. |
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Contenido : |
Abstract:
Question: How does above-ground net primary production (ANPP) differ (estimated from remotely sensed data) among vegetation units in sub-humid temperate grasslands?
Location: Centre-north Uruguay.
Methods: A vegetation map of the study area was generated from LANDSAT imagery and the landscape configuration described. The functional heterogeneity of mapping units was analysed in terms of the fraction of photosynthetically active radiation absorbed by green vegetation (fPAR), calculated from the normalized difference vegetation index (NDVI) images provided by the moderate resolution imaging spectroradiometer (MODIS) sensor. Finally, the ANPP of each grassland class was estimated using NDVI and climatic data.
Results: Supervised classification presented a good overall accuracy and moderate to good average accuracy for grassland classes. Meso-xerophytic grasslands
occupied 45% of the area, Meso-hydrophytic grasslands 43% and Lithophytic steppes 6%. The landscape was shaped by a matrix of large, unfragmented patches of Meso-xerophytic and Meso-hydrophytic grasslands. The region presented the lowest anthropic fragmentation degree reported for the Rio de la Plata grasslands. All grassland units showed bimodal annual fPAR seasonality, with spring and autumn peaks. Meso-hydrophytic grasslands showed a radiation interception 10% higher than the other units. On an annual basis, Meso-hydrophytic grasslands produced 3800 kg dry matter (DM) ha 1 yr 1 and Meso-xerophytic grasslands and ithophytic
steppes around 3400 kg DM ha 1 yr 1 . Mesoxerophytic grasslands had the largest spatial variation during most of the year. The ANPP temporal variation was higher than the fPAR variability.
Conclusions: Our results provide valuable information for grazing management (identifying spatial and temporal variations of ANPP) and grassland conservation (identifying the spatial distribution of vegetation units). MenosAbstract:
Question: How does above-ground net primary production (ANPP) differ (estimated from remotely sensed data) among vegetation units in sub-humid temperate grasslands?
Location: Centre-north Uruguay.
Methods: A vegetation map of the study area was generated from LANDSAT imagery and the landscape configuration described. The functional heterogeneity of mapping units was analysed in terms of the fraction of photosynthetically active radiation absorbed by green vegetation (fPAR), calculated from the normalized difference vegetation index (NDVI) images provided by the moderate resolution imaging spectroradiometer (MODIS) sensor. Finally, the ANPP of each grassland class was estimated using NDVI and climatic data.
Results: Supervised classification presented a good overall accuracy and moderate to good average accuracy for grassland classes. Meso-xerophytic grasslands
occupied 45% of the area, Meso-hydrophytic grasslands 43% and Lithophytic steppes 6%. The landscape was shaped by a matrix of large, unfragmented patches of Meso-xerophytic and Meso-hydrophytic grasslands. The region presented the lowest anthropic fragmentation degree reported for the Rio de la Plata grasslands. All grassland units showed bimodal annual fPAR seasonality, with spring and autumn peaks. Meso-hydrophytic grasslands showed a radiation interception 10% higher than the other units. On an annual basis, Meso-hydrophytic grasslands produced 3800 kg dry matter (DM) ha 1 yr 1 and Meso-xerophytic grassl... Presentar Todo |
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Palabras claves : |
LAND-COVE CLASSIFICATION; NATIVE GRASS-LANDS; NDVI; NORMALIZED DIFFERENCE VETETATION INDEX (NDVI); RADIATION-USE EFFICIENCY; RIO DE LA PLATA GRASSLANDS. |
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Thesagro : |
ESPECIES; IDENTIFICACION; PASTIZAL NATURAL; SISTEMAS GEOGRAFICOS; URUGUAY. |
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Asunto categoría : |
F70 Taxonomía y geografía de las plantas |
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Marc : |
LEADER 03025naa a2200337 a 4500
001 1050200
005 2018-09-27
008 2010 bl uuuu u00u1 u #d
022 $a1654-109X
024 7 $a10.1111/j.1654-109X.2009.01051.x$2DOI
100 1 $aBAEZA, S.
245 $aSpatial variability of above-ground net primary production in Uruguayan grasslands$bA remote sensing approach.$h[electronic resource]
260 $c2010
500 $aArticle history: Received 4 November 2008; accepted 16 July 2009. Published in 2010.
520 $aAbstract: Question: How does above-ground net primary production (ANPP) differ (estimated from remotely sensed data) among vegetation units in sub-humid temperate grasslands? Location: Centre-north Uruguay. Methods: A vegetation map of the study area was generated from LANDSAT imagery and the landscape configuration described. The functional heterogeneity of mapping units was analysed in terms of the fraction of photosynthetically active radiation absorbed by green vegetation (fPAR), calculated from the normalized difference vegetation index (NDVI) images provided by the moderate resolution imaging spectroradiometer (MODIS) sensor. Finally, the ANPP of each grassland class was estimated using NDVI and climatic data. Results: Supervised classification presented a good overall accuracy and moderate to good average accuracy for grassland classes. Meso-xerophytic grasslands occupied 45% of the area, Meso-hydrophytic grasslands 43% and Lithophytic steppes 6%. The landscape was shaped by a matrix of large, unfragmented patches of Meso-xerophytic and Meso-hydrophytic grasslands. The region presented the lowest anthropic fragmentation degree reported for the Rio de la Plata grasslands. All grassland units showed bimodal annual fPAR seasonality, with spring and autumn peaks. Meso-hydrophytic grasslands showed a radiation interception 10% higher than the other units. On an annual basis, Meso-hydrophytic grasslands produced 3800 kg dry matter (DM) ha 1 yr 1 and Meso-xerophytic grasslands and ithophytic steppes around 3400 kg DM ha 1 yr 1 . Mesoxerophytic grasslands had the largest spatial variation during most of the year. The ANPP temporal variation was higher than the fPAR variability. Conclusions: Our results provide valuable information for grazing management (identifying spatial and temporal variations of ANPP) and grassland conservation (identifying the spatial distribution of vegetation units).
650 $aESPECIES
650 $aIDENTIFICACION
650 $aPASTIZAL NATURAL
650 $aSISTEMAS GEOGRAFICOS
650 $aURUGUAY
653 $aLAND-COVE CLASSIFICATION
653 $aNATIVE GRASS-LANDS
653 $aNDVI
653 $aNORMALIZED DIFFERENCE VETETATION INDEX (NDVI)
653 $aRADIATION-USE EFFICIENCY
653 $aRIO DE LA PLATA GRASSLANDS
700 1 $aLEZAMA, F.
700 1 $aPIÑEIRO, G.
700 1 $aALTESOR, A.
700 1 $aPARUELO, J.M.
773 $tApplied Vegetation Science, 2010$gv. 13, no. 1 p. 72-85.
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