| |
|
|
| Registros recuperados : 56 | |
| 1. |  | CANOZZI, M.E.A.; MEDEROS, A.; ZAGO, D.; PEREIRA, G.R.; BARCELLOS, J.O. A systematic review-meta-analysis of castration and welfare indicators in beef cattle. [Abstract]. J. Anim. Sci Vol. 94, E-Suppl. 5/J. Dairy Sci. Vol. 99, E-Suppl. 1, 2016, 0086, p. 38. Conference, 2016 Joint Annual Meeting (JAM), At Salt Lake City, USA.| Biblioteca(s): INIA Tacuarembó. |
|    |
| 2. | | RAMOS, B.; BANCHERO, G.; LA MANNA, A.; CANOZZI, M.E.A.; FERNANDEZ, E.; CLARIGET, J.M. Applicability of an automated supplement feeder to dose titanium dioxide to estimate forage intake, fecal output, and diet digestibility of beef cattle. Applied Animal Science. 2024, Volume 40, Issue 2, pp. 132-141. https://doi.org/10.15232/aas.2023-02448 -- OPEN ACCESS. Article history: Available online 27 March 2024, Version of Record 27 March 2024. -- Correspondence: Clariget, J.; Instituto Nacional de Investigación Agropecuaria (INIA), Estación Experimental La Estanzuela, Ruta 50 km 11, Colonia,...| Biblioteca(s): INIA Las Brujas. |
|  |
| 4. | | CANOZZI, M.E.A. Ayuno pre-faena: pérdidas productivas y económica. In: INIA (Instituto Nacional de Investigación Agropecuaria); INIA La Estanzuela; Programa Nacional Carne y Lana. Día de Campo de Ganadería Intensiva. La Estanzuela, Colonia, UY: INIA, Agosto 2019. p. 23-24. (Serie Actividades de Difusión; 791).| Biblioteca(s): INIA La Estanzuela. |
| |
| 5. | | DE SOUZA TEIXEIRA, O.; KUCZYNSKI DA ROCHA, M; MENDES PAIZANO ALFORMA, A.; SILVA FERNANDES, V.; DE OLIVEIRA FEIJÓ, J; NUNES CORRÊA, M.; CANOZZI, M.E.A.; MCMANUS,C.; BARCELLOS, J,O.J. Behavioural and physiological responses of male and female beef cattle to weaning at 30, 75 or 180 days of age. Applied Animal Behaviour Science, Volume 240, July 2021, 105339. Doi: https://doi.org/10.1016/j.applanim.2021.105339| Biblioteca(s): INIA La Estanzuela. |
|  |
| 6. | | LOPES, R.B.; CANOZZI, M.E.A.; CANELLAS, L.C; GONZALEZ, F.A.L.; CORRÊA, R.F.; PEREIRA, P.R.R.X; BARCELLOS, J.O.J. Bioeconomic simulation of compensatory growth in beef cattle production systems. Livestock Science, October 2018, v.216,p.165-173. Article history: Received 20 December 2017//Revised 23 August 2018// Accepted 23 August 2018 // Available online 24 August 2018.| Biblioteca(s): INIA La Estanzuela. |
| |
| 13. | | CLARIGET, J.M.; BANCHERO, G.; AZNÁREZ, V.; ROIG, G.; CANOZZI, M.E.A.; PEREZ, E.; FERNANDEZ, E.; LA MANNA, A. Cuando lo que tenemos que suplementar es la fibra. Producción Animal. Revista INIA Uruguay, Marzo 2023, no.72, p.18-21. (Revista INIA; 72).| Biblioteca(s): INIA Las Brujas. |
| |
| 14. | | CANOZZI, M.E.A.; MEDEROS, A.; TURNER, S.; MANTECA, X.; MCMANNUS, C.; MENEGASSI, S.R.; BARCELLOS, J.O. Dehorning and welfare indicators in beef cattle: A meta-analysis. Review. Animal Production Science, 2019, Volume 59, Issue 5, p. 801-814. doi: https://doi.org/10.1071/AN17752 History Article: Received 27 January 2017 // accepted 11 April 2018 // published online 30 May 2018. -- Corresponding author: Barcellos, J.O.J.; Centre for Research on Production Systems and Beef Cattle Supply Chain (NESPro/UFRGS),...| Biblioteca(s): INIA Tacuarembó. |
| |
| 15. | | CANOZZI, M.E.A.; BANCHERO, G.; SARAVIA, A.; LUZARDO, S.; FERNANDEZ, E.; LA MANNA, A.; DEL CAMPO, M.; PEREZ, E.; RIVOIR, J.; UZUCA, J.; BATISTA, E.; PEREZ, J.; CLARIGET, J.M. Duración del ayuno y lugar de espera pre-faena en vacunos: ¿cuál es el impacto sobre el peso de la canal, la hidratación y la calidad de la carne?. Revista INIA Uruguay, 2020, no. 60, p. 13-17. (Revista INIA; 60) Agradecimientos: A los frigoríficos MARFRIG Establecimiento Colonia y BPU Meat Uruguay. A Alvaro Ferrés, Director Ejecutivo de AUPCIN.| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó. |
| |
| 16. | | CLARIGET, J.M.; BANCHERO, G.; LUZARDO, S.; FERNANDEZ, E.; PEREZ, E.; LA MANNA, A.; SARAVIA, A.; DEL CAMPO, M.; CANOZZI, M.E.A.; FERRÉS, A Effect of pre-slaughter fasting duration on physiology, carcass and meat quality in beef cattle finished on pastures or feedlot, Research in Veterinary Science, Volume 136, May 2021, Pages 158-165. Doi://doi.org/10.1016/j.rvsc.2021.02.018 Article history:Received 10 February 2020/ Revised 9 February 2021/ Accepted 18 February 2021,/Available online 20 February 2021. Corresponding author at: E-mail address: mecanozzi@inia.org.uy (M.E.A. Canozzi).| Biblioteca(s): INIA La Estanzuela. |
| |
| 18. | | CANOZZI, M.E.A.; MEDEROS, A.; MENEGASI, S.R.O.; CAMARGO, C.M.; BREMM, B.; HOERBE, J.B.; BARCELLOS, J.O.J. Effects of dehorning on welfare indicators in beef cattle: systematic review-meta-analysis approach. In: Conference, Reunião Anual da Sociedade Brasileira de Zootecnia (SBZ), 53., 01-04 de Agosto, Gramado, Brasil, 2016.| Biblioteca(s): INIA Tacuarembó. |
| |
| 19. | | BRUTTI, D.D.; CANOZZI, M.E.A.; SARTORI, E.D.; COLOMBATTO, D.; BARCELLOS, J.O.J. Effects of the use of tannins on the ruminal fermentation of cattle: A meta-analysis and meta-regression. Animal Feed Science and Technology, December 2023, Volume 306, article 115806. https://doi.org/10.1016/j.anifeedsci.2023.115806 Article history: Received 22 January 2022; Received in revised form 11 October 2023; Accepted 21 October 2023; Available online 24 October 2023. -- Correspondence: Barcellos, J.O.J.; Departamento de Zootecnia, Universidade Federal do Rio...| Biblioteca(s): INIA Las Brujas. |
| |
| 20. | | UBIOS, D.; LA MANNA, A.; CLARIGET, J.M.; CANOZZI, M.E.A.; SARAVIA, A.; BANCHERO, G. Eficiencia de conversión alimenticia de novillos terminados a corral parasitados, parasitados tratados o libres de Fasciola hepática.[Feed conversion efficiency of parasitized, parasitized and treated, or free from Liver fluke feed lot-finished steers]. SP 15. In: Congreso Argentino de Producción Animal Virtual, 43, 25 al 27 de noviembre de 2020. p. 319. ( Revista Argentina de Producción Animal ; 40 Suplemento 1).| Biblioteca(s): INIA La Estanzuela. |
| |
| Registros recuperados : 56 | |
|
|
|
|
Registro completo
|
|
Biblioteca (s) : |
INIA Las Brujas. |
|
Fecha actual : |
27/09/2022 |
|
Actualizado : |
27/09/2022 |
|
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
|
Circulación / Nivel : |
Internacional - -- |
|
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. |
|
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. |
|
Título : |
Mapping and characterizing social-ecological land systems of South America. |
|
Fecha de publicación : |
2022 |
|
Fuente / Imprenta : |
Ecology and Society, 2022, Volume 27, Issue 2, Article number 27. OPEN ACCESS. doi: https://doi.org/10.5751/ES-13066-270227 |
|
ISSN : |
1708-3087 |
|
DOI : |
10.5751/ES-13066-270227 |
|
Idioma : |
Inglés |
|
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 |
|
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 |
|
Palabras claves : |
Automatization; Hierarchical clustering; Multidisciplinary data; Participatory mapping; Social-ecological mapping. |
|
Asunto categoría : |
F01 Cultivo |
|
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16772/1/ES-2021-13066.pdf
|
|
Marc : |
LEADER 03737naa a2200457 a 4500
001 1063581
005 2022-09-27
008 2022 bl uuuu u00u1 u #d
022 $a1708-3087
024 7 $a10.5751/ES-13066-270227$2DOI
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.
700 1 $aBOILLAT, S.
700 1 $aLEVERS, C.
700 1 $aGASPARRI, I.
700 1 $aAIDE, T. M.
700 1 $aÁLVAREZ-BERRÍOS, N. L.
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.
700 1 $aRAMIREZ-REYES, C-
700 1 $aPACHECHO, A.
700 1 $aVALLEJOS, M.
700 1 $aYOUNG, K. R.
700 1 $aGRAU, R.
773 $tEcology and Society, 2022, Volume 27, Issue 2, Article number 27. OPEN ACCESS. doi: https://doi.org/10.5751/ES-13066-270227
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Las Brujas (LB) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
| Expresión de búsqueda válido. Check! |
|
|
