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9. | | GEPP, V.; RODRÍGUEZ, J.; CASANOVA, S.; TRICOT, D. Efecto de la solarización sobre la presencia de malezas y hongos fitopatógenos de suelo sobre el cultivo de lechuga en invernáculo. ln: Congreso Nacional de Horticultura, 8.; Seminario Regional de Frutilla, 2001, Salto, Uruguay. Resúmenes. Montevideo (Uruguay): S635 CONr 8UH; INIA, 2001. p. 55 "Sociedad Uruguaya de Horticultura; Instituto Nacional de Investigación Agropecuaria, Uruguay"Biblioteca(s): INIA Las Brujas; INIA Salto Grande; INIA Tacuarembó; INIA Treinta y Tres. |
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10. | | GEPP, V.; SILVERA, E.; RODRÍGUEZ, J.; GÓMEZ, A.; STRACONI, E. Estudio de la producción y sanidad de lechuga en el departamento de Montevideo. [resumen]. ln: SUH (Sociedad Uruguaya de Horticultura). Congreso Nacional de Horticultura, 7.; Seminario de Liderazgo Profesional, 1., 1999, Montevideo, Uruguay Resúmenes. Montevideo (Uruguay): SUH, 1999. p. 26Biblioteca(s): INIA Las Brujas. |
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12. | | ALANIZ, S.; GEPP, V.; MONDINO, P.; LEONI, C.; MUJICA, V.; NUÑEZ, S.; SCATONI, I. Guía de identificación y monitoreo de enfermedades y plagas en frutales de hoja caduca y vid bajo manejo integrado. Montevideo (UY): AFRUPI, 2016. 135 p. AFRUPI (Asociación de Fruticultores de Producción Integrada), es una organización de productores que tiene por fin promover un modelo de producción que respeta el medio ambiente, cuida los recursos naturales y al consumidor (fundada el 31...Biblioteca(s): INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó; INIA Treinta y Tres. |
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13. | | CONIBERTI, A.; FERRARI, V.; DELLACASSA, E.; BOIDO, E.; CARRAU, F.; GEPP, V.; DISEGNA, E. Kaolin over sun-exposed fruit affects berry temperature, must composition and wine sensory attributes of Sauvignon blanc. European Journal of Agronomy, 2013, v.50, p.75-81. Article history: Received 3 May 2013 / Received in revised form 1 June 2013 / Accepted 3 June 2013.Biblioteca(s): INIA Las Brujas. |
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14. | | ALANIZ, S.; GEPP, V.; MONDINO, P.; LEONI, C.; MUJICA, V.; NUÑEZ, S.; SCATONI, I Monitoreo de enfermedades en frutales de carozo. Monitoreo de enfermedades por cultivo. In: Alaniz, S.; Gepp, V.; Mondino, P.; Leoni, C.; Mujica, V.; Núñez, S.; Scatoni, I. Guía de identificación y monitoreo de enfermedades y plagas en frutales de hoja caduca y vid bajo manejo integrado. Montevideo (UY): AFRUPI, 2016. p.27-37.Biblioteca(s): INIA Las Brujas. |
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15. | | ALANIZ, S.; GEPP, V.; MONDINO, P.; LEONI, C.; MUJICA, V.; NUÑEZ, S.; SCATONI, I. Monitoreo de enfermedades en frutales de pepita. Monitoreo de enfermedades por cultivo. In: Alaniz, S.; Gepp, V.; Mondino, P.; Leoni, C.; Mujica, V.; Núñez, S.; Scatoni, I. Guía de identificación y monitoreo de enfermedades y plagas en frutales de hoja caduca y vid bajo manejo integrado. Montevideo (UY): AFRUPI, 2016. p.39-59.Biblioteca(s): INIA Las Brujas. |
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16. | | ALANIZ, S.; GEPP, V.; MONDINO, P.; LEONI, C.; MUJICA, V.; NUÑEZ, S.; SCATONI, I. Monitoreo de enfermedades en uva de mesa. Monitoreo de enfermedades por cultivo. In: Alaniz, S.; Gepp, V.; Mondino, P.; Leoni, C.; Mujica, V.; Núñez, S.; Scatoni, I. Guía de identificación y monitoreo de enfermedades y plagas en frutales de hoja caduca y vid bajo manejo integrado. Montevideo (UY): AFRUPI, 2016. p.61-75.Biblioteca(s): INIA Las Brujas. |
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17. | | ALANIZ, S.; GEPP, V.; MONDINO, P.; LEONI, C.; MUJICA, V.; NUÑEZ, S.; SCATONI, I. Monitoreo de insectos plaga. Clasificación según orden. In: Alaniz, S.; Gepp, V.; Mondino, P.; Leoni, C.; Mujica, V.; Núñez, S.; Scatoni, I. Guía de identificación y monitoreo de enfermedades y plagas en frutales de hoja caduca y vid bajo manejo integrado. Montevideo (UY): AFRUPI, 2016. p.76-79.Biblioteca(s): INIA Las Brujas. |
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18. | | ALANIZ, S.; GEPP, V.; MONDINO, P.; LEONI, C.; MUJICA, V.; NUÑEZ, S.; SCATONI, I. Monitoreo de insectos plaga: orden acarina. In: Alaniz, S.; Gepp, V.; Mondino, P.; Leoni, C.; Mujica, V.; Núñez, S.; Scatoni, I. Guía de identificación y monitoreo de enfermedades y plagas en frutales de hoja caduca y vid bajo manejo integrado. Montevideo (UY): AFRUPI, 2016. p.127-131.Biblioteca(s): INIA Las Brujas. |
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19. | | ALANIZ, S.; GEPP, V.; MONDINO, P.; LEONI, C.; MUJICA, V.; NUÑEZ, S.; SCATONI, I. Monitoreo de insectos plaga: orden coleoptera. In: Alaniz, S.; Gepp, V.; Mondino, P.; Leoni, C.; Mujica, V.; Núñez, S.; Scatoni, I. Guía de identificación y monitoreo de enfermedades y plagas en frutales de hoja caduca y vid bajo manejo integrado. Montevideo (UY): AFRUPI, 2016. p.97-103.Biblioteca(s): INIA Las Brujas. |
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20. | | ALANIZ, S.; GEPP, V.; MONDINO, P.; LEONI, C.; MUJICA, V.; NUÑEZ, S.; SCATONI, I. Monitoreo de insectos plaga: orden díptera. In: Alaniz, S.; Gepp, V.; Mondino, P.; Leoni, C.; Mujica, V.; Núñez, S.; Scatoni, I. Guía de identificación y monitoreo de enfermedades y plagas en frutales de hoja caduca y vid bajo manejo integrado. Montevideo (UY): AFRUPI, 2016. p.119-121.Biblioteca(s): INIA Las Brujas. |
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| Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
12/09/2014 |
Actualizado : |
27/09/2018 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
B - 1 |
Autor : |
BAEZA, S.; LEZAMA, F.; PIÑEIRO, G.; ALTESOR, A.; PARUELO, J.M. |
Afiliación : |
FELIPE LEZAMA HUERTA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
Título : |
Spatial variability of above-ground net primary production in Uruguayan grasslands: A remote sensing approach. |
Fecha de publicación : |
2010 |
Fuente / Imprenta : |
Applied Vegetation Science, 2010, v. 13, no. 1 p. 72-85. |
ISSN : |
1654-109X |
DOI : |
10.1111/j.1654-109X.2009.01051.x |
Idioma : |
Inglés |
Notas : |
Article history: Received 4 November 2008; accepted 16 July 2009. Published in 2010. |
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 |
Palabras claves : |
LAND-COVE CLASSIFICATION; NATIVE GRASS-LANDS; NDVI; NORMALIZED DIFFERENCE VETETATION INDEX (NDVI); RADIATION-USE EFFICIENCY; RIO DE LA PLATA GRASSLANDS. |
Thesagro : |
ESPECIES; IDENTIFICACION; PASTIZAL NATURAL; SISTEMAS GEOGRAFICOS; URUGUAY. |
Asunto categoría : |
F70 Taxonomía y geografía de las plantas |
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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