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| Registros recuperados : 60 | |
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| 42. | | FASSIO, A.; RODRIGUEZ, M.; IBAÑEZ, W.; PÉREZ, O.; CERETTA, S.; RESTAINO, E.; RABAZA, C.; VERGARA, G. Modelo de predicción para los estadios fenológicos del cultivo de soja. Nueva herramienta web. Revista INIA Uruguay, 2014, no. 39, p. 40-43 (Revista INIA; 39) Se incluye link de acceso a la nueva herramienta para pronosticar el estadio fenológico en soja y otros cultivos de verano, disponible en el sitio Web de INIA| Biblioteca(s): INIA La Estanzuela. |
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| 43. | | RODRÍGUEZ, M.N.; ART, T.; ROLLIN, F.; DESMECHT, D.; AMORY, H.; LINDEN, A.; LEKEUX, P. La mecánica respiratoria en terneros sanos respirando helio-oxígeno. ln: Jornadas Uruguayas de Buiatría, 18., 1990, Paysandú, Uruguay Paysandú (Uruguay): Centro Médico Veterinario de Paysandú, 1990. C.C.1, p. 1-13| Biblioteca(s): INIA Treinta y Tres. |
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| 45. | | FASSIO, A.; D´OTTONE, F.; RODRIGUEZ, M.; CERETTA, S.; VÁZQUEZ, D.; RABAZA, C.; VERGARA, G. El sorgo azucarado como materia prima para la producción de alcohol carburante: la experiencia de INIA La Estanzuela. Revista INIA Uruguay, 2011, no.26, p. 39-44 (Revista INIA; 26)| Biblioteca(s): INIA La Estanzuela. |
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| 47. | | ESTEVES, P.; MASTROPIERRO, M.; CASTILLO, A.; HERNANDEZ, L.; RODRIGUEZ, M.; DE LEON, W.; PEREIRA, F.; QUINCKE, M. Herramientas biotecnológicas para el mejoramiento genético de cultivos. Revista INIA Uruguay, 2017, no.48, p. 62-66. (Revista INIA; 48)| Biblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
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| 48. | | STEWART, S.; RODRIGUEZ, M.; CORALLO, B.; DEL PALACIO, A.; CEA, J.; SIMOENS, M.; SANCHEZ, A.; PAN, D. Explorando prácticas de manejo que tiendan a minimizar la contaminación de micotoxinas producidas por Fusarium spp. en sorgo y maíz. In: Sociedad Uruguaya de Fitopatología Jornada Uruguaya de Fitopatología, 6., Jornada Uruguaya de Protección Vegetal, 4., 21-22 octubre, 2021, Montevideo, Uruguay. Libro de resúmenes. Montevideo (UY): Sociedad Uruguay de Fitopatología (SUFIT), 2021. p. 52. Financiamiento: Proyecto INNOVAGRO ANII FSA-I-2017-1-139531.| Biblioteca(s): INIA La Estanzuela. |
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| 49. | | FERREIRA, V.; PIANZZOLA, M. J.; VILARÓ, F.; GALVÁN, G.; TONDO, M. L.; RODRÍGUEZ, M. V.; ORELLANO, E.; SIR, M. I. Mecanismos de resistencia a marchitez bacteriana en clones avanzados del Programa de Mejoramiento Genético de papa. [o6*]. Bloque 2: Mejoramiento por resistencia a enfermedades. In: Sociedad Uruguaya de Fitopatología Jornada Uruguaya de Fitopatología, 4., Jornada Uruguaya de Protección Vegetal, 2., 1° setiembre, 2017, Montevideo, Uruguay. Libro de resúmenes. Montevideo (UY): Sociedad Uruguay de Fitopatología (SUFIT), 2017. p. 35. [o6*]: *Trabajo ya presentado.| Biblioteca(s): INIA Las Brujas. |
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| 50. | | FASSIO, A.; IBAÑEZ, W.; RODRÍGUEZ, M.; CERETTA, S.; PÉREZ, O.; RABAZA, C.; VERGARA, A.; CESAN, A.; RESTAINO, E. Predicción de estados fenológicos de soja y otros cultivos de verano: ... soja, girasol, maíz, sorgo granífero, forrajero, dulce y silero. Montevideo: INIA, 2014. Modelo de predicción fenológica en línea.| Biblioteca(s): INIA La Estanzuela. |
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| 51. | | LADO, J.; MOLTINI, A.; VICENTE, E.; RODRÍGUEZ, G.; ARCIA, P.; RODRÍGUEZ, M.; LÓPEZ, M.; BILLIRIS, A.; ARES, G. Integration of sensory analysis into plant breeding: a review. [Integración del análisis sensorial al mejoramiento genético de plantas]. Agrociencia Uruguay, 2019, 23(1):1-15. Doi: https://doi.org/10.31285/AGRO.23.1.16 Article history: Recibido: 26-04-2019 / Aceptado: 30-04-2019.| Biblioteca(s): INIA Las Brujas. |
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| 52. | | SALAZAR, F.; CHARLON, V.; PALHARES, J.; HERRERO, A.; LA MANNA, A.; KUNZ , A.; GONZALEZ PEREYRA, A.V.; ALFARO , M.; STEINMETZ ,M.L.R.; NICOLOSO , R.; RODRIGUEZ, M. (Ed.). [Glossary of terms on livestock and manure management]. [Glosario de términos en manejo de estiércol y producción animal. [Glossário de termos associados ao manejo de resíduos da produção animal]. CONICYT-CHILE; Instituto de Investigaciones Agropecuarias; INTA; EMBRAPA; INIA Uruguay. Concórdia, SC: Sbera, 2019.| Biblioteca(s): INIA La Estanzuela. |
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| 53. | | FERREIRA, V.; PIANZZOLA, M.J.; VILARÓ, F.; GALVÁN, G.; TONDO, M.L.; RODRÍGUEZ, M.V.; ORELLANO, E.G.; VALSS, M.; SIRI, M.I. Interspecific potato breeding lines display differential colonization patterns and induced defense responses after Ralstonia solanacearum infection. Frontiers in Plant Science, 28 August 2017, volume 8, 1424. OPEN ACCESS. Article history: Received: 30 June 2017 / Accepted: 02 August 2017 / Published: 28 August 2017.| Biblioteca(s): INIA Las Brujas. |
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| 54. | | LÓPEZ RODRÍGUEZ, M.; ARCIA, P.; PÉREZ DE VIDA, F.; TRESSO, G.; FIGUEREDO, V.; LUZARDO, C.; GONNET, D.; URAGA, R.; SANGUINETTI, M.N.; BILLIRIS, A. Pautas y criterios para el manejo industrial de numerosas variedades: aspectos de calidad física y sensorial. In: Terra, J. A.; Martínez, S.; Saravia, H.; Mesones, B.; Álvarez, O. (Eds.) Arroz 2020. Montevideo (UY): INIA, 2020. p. 117-120. (INIA Serie Técnica; 257)| Biblioteca(s): INIA Treinta y Tres. |
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| 55. | | LÓPEZ RODRÍGUEZ, M.; ARCIA, P.; PÉREZ DE VIDA, F.; TRESSO, G.; FIGUEREDO, V.; LUZARDO, C.; GONNET, D.; URAGA, R.; SANGUINETTI, M.N.; BILLIRIS, A. Red tecnológica de arroz: grupos de calidad del arroz uruguayo. In: Terra, J. A.; Martínez, S.; Saravia, H.; Mesones, B.; Álvarez, O. (Eds.) Arroz 2020. Montevideo (UY): INIA, 2020. p. 113-116. (INIA Serie Técnica; 257)| Biblioteca(s): INIA Treinta y Tres. |
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| 56. | | ARGÜELLES, C.F.; PERCUOCO, C.B.; TALAVERA-STEFANI, L.N.; GONZÁLEZ, N.L.; CARDOZO, A.E.; SOROL, C.B.; CRIVELLO, J.F.; DE BATTISTA, G.A.; RODRIGUEZ, M.E. Calophyllum Brasiliense un recurso nativo de interés en selvas ribereñas. In: INIA TACUAREMBÓ; BENNADJI, Z. (Coord.). Domesticación y diversificación de especies forestales de alto valor: avances y perspectivas. JORNADA TÉCNICA, 27 DE ABRIL, TACUAREMBÓ, URUGUAY, 2017. Tacuarembó (Uruguay): INIA , 2017. p. 8 (INIA Serie Actividades de Difusión ; 774)| Biblioteca(s): INIA Tacuarembó. |
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| 57. | | DEL CAMPO, M.; BRITO, G.; RODRÍGUEZ ALMADA,, H.; NEGREIRA, C.; CORTELA, G.; RODRÍGUEZ, M.N.; GARAGORRY, F.; ECHENIQUE, M.; CENTURIÓN, D.; URBINA, S.; ZAMIT, V.; SOARES DE LIMA, J.M. Caracterización de hematomas de edad conocida en bovinos de carne a través de innovadoras técnicas forenses. [abstract]. In: AUPA, Proceedings del VII Congreso Uruguayo de Producción Animal. Sección Una Sola Salud (Single Health Section), 14 y 15 diciembre 2021. Archivos Latinoamericanos de Producción Animal, 29(Supl.1), p.98. Corresponding author: M. del Campo, Instituto Nacional de Investigación Agropecuaria (INIA), mailto: mdelcampo@inia.org.uy| Biblioteca(s): INIA Las Brujas. |
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| 58. | | GARDI, C.; ANGELINI, M.; BARCELÓ, S.; COMERMA, J.; CRUZ GAISTARDO, C.; ENCINA ROJAS, A.; JONES, A.; KRASILNIKOV, P.; MENDONÇA-SANTOS-BREFIN, M.L.; MONTANARELLA, L.; MUÑIZ UGARTE, O.; SCHAD, P.; VARA RODRÍGUEZ, M.I.; VARGAS, R. (Ed.). Atlas de suelos de América Latina y el Caribe (en línea). Luxemburgo: UE, 2014. 176 p.| Biblioteca(s): INIA La Estanzuela. |
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| 59. | | PEREYRA, S.; CASTRO, M.; VERO, S.; SILVA, P.; CAL, A.; TISCORNIA, G.; GONZALEZ, N.; BENTOS, D.; ALVAREZ, W.; RABAZA, S.; SEVILLANO, L.; BRANCATTI, G.; FRANCIA, C.; RAFFO, M.A.; GERMAN, S.; PÉREZ, C.; GARMENDIA, G.; PAREJA, L.; RODRÍGUEZ, A.; PENDAS, C.; QUINCKE, M.; VÁZQUEZ, D.; RODRIGUEZ, M. Fusariosis de la espiga en trigo y micotoxinas asociadas: contribuyendo a reducir su riesgo. Cultivos. Revista INIA Uruguay, Diciembre 2023, no.75 p.54-58. (Revista INIA; 75).| Biblioteca(s): INIA Las Brujas. |
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| 60. | | ZARBÁ, L.; PIQUER-RODRÍGUEZ, M.; BOILLAT, S.; LEVERS, C.; GASPARRI, I.; AIDE, T. M.; ÁLVAREZ-BERRÍOS, N. L.; ANDERSON, L. O.; ARAOZ, E.; ARIMA, E.; BATISTELLA, M.; CALDERÓN-LOOR, M.; ECHEVERRÍA, C.; GONZALEZ-ROGLICH, M.; JOBBÁGY, E. G.; MATHEZ-STIEFEL, S.-L.; RAMIREZ-REYES, C-; PACHECHO, A.; VALLEJOS, M.; YOUNG, K. R.; GRAU, R. Mapping and characterizing social-ecological land systems of South America. Ecology and Society, 2022, Volume 27, Issue 2, Article number 27. OPEN ACCESS. doi: https://doi.org/10.5751/ES-13066-270227 Article: Gold Open Access, Green Open Access. -- Erratum: On 6 June 2022 the abstract was edited. See online for more detail: https://ecologyandsociety.org/vol27/iss2/art27/#dataarchive_stmt --
LICENSE: Published under license by The...| Biblioteca(s): INIA Las Brujas. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
27/09/2022 |
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Actualizado : |
27/09/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
ZARBÁ, L.; PIQUER-RODRÍGUEZ, M.; BOILLAT, S.; LEVERS, C.; GASPARRI, I.; AIDE, T. M.; ÁLVAREZ-BERRÍOS, N. L.; ANDERSON, L. O.; ARAOZ, E.; ARIMA, E.; BATISTELLA, M.; CALDERÓN-LOOR, M.; ECHEVERRÍA, C.; GONZALEZ-ROGLICH, M.; JOBBÁGY, E. G.; MATHEZ-STIEFEL, S.-L.; RAMIREZ-REYES, C-; PACHECHO, A.; VALLEJOS, M.; YOUNG, K. R.; GRAU, R. |
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Afiliación : |
LUCÍA ZARBÁ, Instituto de Ecología Regional (IER), Universidad Nacional de Tucumán (UNT) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tucumán, Argentina.; MARÍA PIQUER-RODRÍGUEZ, Instituto Ecología Regional (IER), Univ. Nacional de Tucumán (UNT). Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tucumán, Argentina; Lateinamerika-Institut, Freie Universität Berlin, Germany; Geography Department, Humbold, Germany; SÉBASTIEN BOILLAT, Institute of Geography, University of Bern, Bern, Switzerland; CHRISTIAN LEVERS, Depart. Environmental Geography, Inst. for Environmental Studies, Vrije Univ. Amsterdam, Netherlands; Inst. for Resources, Environment and Sustainability, Univ. of British Columbia, Vancouver, BC, Canada; School of Public Policy and Global Affairs, Univ.; IGNACIO GASPARRI, Instituto de Ecología Regional (IER), Universidad Nacional de Tucumán (UNT) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tucumán, Argentina; T. MITCHELL AIDE, Department of Biology, University of Puerto Rico-Rio Piedras, Puerto Rico; NORA L. ÁLVAREZ-BERRÍOS, USDA Forest Service, International Institute of Tropical Forestry, Río Piedras, Puerto Rico; LIANA O. ANDERSON, National Center for Monitoring and Early Warning of Natural Disasters-CEMADEN, Ministry of Science, Technology and Innovation-MCTI, Brazil; EZEQUIEL ARAOZ, Instituto de Ecología Regional (IER), Universidad Nacional de Tucumán (UNT) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tucumán, Argentina; EUGENIO ARIMA, Department of Geography and the Environment, University of Texas at Austin, United States; MATEUS BATISTELLA, Brazilian Agricultural Research Corporation (Embrapa Agricultural Informatics) State University of Campinas (Unicamp), Brazil; MARCO CALDERÓN-LOOR, Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, Melbourne, Australia;Grupo de Investigación de Biodiversidad, Medio Ambiente y Salud-BIOMAS, Universidad de las Américas (UDLA), Quito, Ecuador; CRISTIAN ECHEVERRÍA, Landscape Ecology Laboratory, Facultad de Ciencias Forestales, Universidad de Concepción, Chile; Millennium Nucleus Center for the Socioeconomic Impact of Environmental Policies (CESIEP), Santiago de Chile, Chile; MARIANO GONZALEZ-ROGLICH, Wildlife Conservation Society, Buenos Aires, Argentina; ESTEBAN G. JOBBÁGY, Grupo de Estudios Ambientales, IMASL-CONICET and Universidad Nacional de San Luis, San Luis, Argentina; South American Institute for Resilience and Sustainability Studies (SARAS), Maldonado, Uruguay; SARAH-LAN MATHEZ-STIEFEL, Centre for Development and Environment, University of Bern, Switzerland; Wyss Academy for Nature at the University of Bern, Switzerland; CARLOS RAMIREZ-REYES, Quantitative Ecology & Spatial Technologies Laboratory, Department of Wildlife, Fisheries and Aquaculture, Mississippi State University, United States; ANDREA PACHECO, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Germany; MARÍA VALLEJOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Departamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, Universidad de Buenos Aires, Argentina; KENNETH R. YOUNG, Department of Geography and the Environment, University of Texas at Austin, United States; RICARDO GRAU, Instituto de Ecología Regional (IER), Universidad Nacional de Tucumán (UNT) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tucumán, Argentina. |
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Título : |
Mapping and characterizing social-ecological land systems of South America. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Ecology and Society, 2022, Volume 27, Issue 2, Article number 27. OPEN ACCESS. doi: https://doi.org/10.5751/ES-13066-270227 |
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ISSN : |
1708-3087 |
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DOI : |
10.5751/ES-13066-270227 |
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Idioma : |
Inglés |
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Notas : |
Article: Gold Open Access, Green Open Access. -- Erratum: On 6 June 2022 the abstract was edited. See online for more detail: https://ecologyandsociety.org/vol27/iss2/art27/#dataarchive_stmt --
LICENSE: Published under license by The Resilience Alliance. This article is under a Creative Commons Attribution 4.0 International License. You may share and adapt the work provided the original author and source are credited, you indicate whether any changes were made, and you include a link to the license. -- Article metrics: https://plu.mx/plum/a/?doi=10.5751/ES-13066-270227&theme=plum-bigben-theme |
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Contenido : |
ABSTRACT.- Humans place strong pressure on land and have modified around 75% of Earth's terrestrial surface. In this context, ecoregions and biomes, merely defined on the basis of their biophysical features, are incomplete characterizations of the territory. Land system science requires classification schemes that incorporate both social and biophysical dimensions. In this study, we generated spatially explicit social-ecological land system (SELS) typologies for South America with a hybrid methodology that combined data-driven spatial analysis with a knowledge-based evaluation by an interdisciplinary group of regional specialists. Our approach embraced a holistic consideration of the social-ecological land systems, gathering a dataset of 26 variables spanning across 7 dimensions: physical, biological, land cover, economic, demographic, political, and cultural. We identified 13 SELS nested in 5 larger social-ecological regions (SER). Each SELS was discussed and described by specific groups of specialists. Although 4 environmental and 1 socioeconomic variable explained most of the distribution of the coarse SER classification, a diversity of 15 other variables were shown to be essential for defining several SELS, highlighting specific features that differentiate them. The SELS spatial classification presented is a systematic and operative characterization of South American social-ecological land systems. We propose its use can contribute as a reference framework for a wide range of applications such as analyzing observations within larger contexts, designing system-specific solutions for sustainable development, and structuring hypothesis testing and comparisons across space. Similar efforts could be done elsewhere in the world. Copyright © 2022 by the author(s). MenosABSTRACT.- Humans place strong pressure on land and have modified around 75% of Earth's terrestrial surface. In this context, ecoregions and biomes, merely defined on the basis of their biophysical features, are incomplete characterizations of the territory. Land system science requires classification schemes that incorporate both social and biophysical dimensions. In this study, we generated spatially explicit social-ecological land system (SELS) typologies for South America with a hybrid methodology that combined data-driven spatial analysis with a knowledge-based evaluation by an interdisciplinary group of regional specialists. Our approach embraced a holistic consideration of the social-ecological land systems, gathering a dataset of 26 variables spanning across 7 dimensions: physical, biological, land cover, economic, demographic, political, and cultural. We identified 13 SELS nested in 5 larger social-ecological regions (SER). Each SELS was discussed and described by specific groups of specialists. Although 4 environmental and 1 socioeconomic variable explained most of the distribution of the coarse SER classification, a diversity of 15 other variables were shown to be essential for defining several SELS, highlighting specific features that differentiate them. The SELS spatial classification presented is a systematic and operative characterization of South American social-ecological land systems. We propose its use can contribute as a reference framework for a wide ran... Presentar Todo |
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Palabras claves : |
Automatization; Hierarchical clustering; Multidisciplinary data; Participatory mapping; Social-ecological mapping. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16772/1/ES-2021-13066.pdf
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Marc : |
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100 1 $aZARBÁ, L.
245 $aMapping and characterizing social-ecological land systems of South America.$h[electronic resource]
260 $c2022
500 $aArticle: Gold Open Access, Green Open Access. -- Erratum: On 6 June 2022 the abstract was edited. See online for more detail: https://ecologyandsociety.org/vol27/iss2/art27/#dataarchive_stmt -- LICENSE: Published under license by The Resilience Alliance. This article is under a Creative Commons Attribution 4.0 International License. You may share and adapt the work provided the original author and source are credited, you indicate whether any changes were made, and you include a link to the license. -- Article metrics: https://plu.mx/plum/a/?doi=10.5751/ES-13066-270227&theme=plum-bigben-theme
520 $aABSTRACT.- Humans place strong pressure on land and have modified around 75% of Earth's terrestrial surface. In this context, ecoregions and biomes, merely defined on the basis of their biophysical features, are incomplete characterizations of the territory. Land system science requires classification schemes that incorporate both social and biophysical dimensions. In this study, we generated spatially explicit social-ecological land system (SELS) typologies for South America with a hybrid methodology that combined data-driven spatial analysis with a knowledge-based evaluation by an interdisciplinary group of regional specialists. Our approach embraced a holistic consideration of the social-ecological land systems, gathering a dataset of 26 variables spanning across 7 dimensions: physical, biological, land cover, economic, demographic, political, and cultural. We identified 13 SELS nested in 5 larger social-ecological regions (SER). Each SELS was discussed and described by specific groups of specialists. Although 4 environmental and 1 socioeconomic variable explained most of the distribution of the coarse SER classification, a diversity of 15 other variables were shown to be essential for defining several SELS, highlighting specific features that differentiate them. The SELS spatial classification presented is a systematic and operative characterization of South American social-ecological land systems. We propose its use can contribute as a reference framework for a wide range of applications such as analyzing observations within larger contexts, designing system-specific solutions for sustainable development, and structuring hypothesis testing and comparisons across space. Similar efforts could be done elsewhere in the world. Copyright © 2022 by the author(s).
653 $aAutomatization
653 $aHierarchical clustering
653 $aMultidisciplinary data
653 $aParticipatory mapping
653 $aSocial-ecological mapping
700 1 $aPIQUER-RODRÍGUEZ, M.
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700 1 $aANDERSON, L. O.
700 1 $aARAOZ, E.
700 1 $aARIMA, E.
700 1 $aBATISTELLA, M.
700 1 $aCALDERÓN-LOOR, M.
700 1 $aECHEVERRÍA, C.
700 1 $aGONZALEZ-ROGLICH, M.
700 1 $aJOBBÁGY, E. G.
700 1 $aMATHEZ-STIEFEL, S.-L.
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700 1 $aPACHECHO, A.
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700 1 $aYOUNG, K. R.
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773 $tEcology and Society, 2022, Volume 27, Issue 2, Article number 27. OPEN ACCESS. doi: https://doi.org/10.5751/ES-13066-270227
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