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Biblioteca (s) : |
INIA Tacuarembó. |
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Fecha : |
28/11/2019 |
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Actualizado : |
28/11/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Nacionales |
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Autor : |
CÁMARA, G.; CAZZULI, F.; ARBELETCHE, P.; DE HEGEDUS, P. |
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Afiliación : |
FIORELLA CARLA CAZZULI ALBA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; P. ARBELETCHE, Universidad de la República (UdelaR)/ Facultad de Agronomía; P. DEHEGEDUS, Universidad de la República (UdelaR)/ Facultad de Agronomía. |
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Título : |
Los productores ganaderos que adoptan riego: análisis del cambio técnico. [Livestock farmers who adopt irrigation: analysis of technical
change] |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Agrociencia Uruguay, 2019, 23(2):1-13. |
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ISSN : |
e ISSN: 2301-1548 |
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DOI : |
10.31285/AGRO.23.8 |
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Idioma : |
Español |
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Notas : |
Article history: Recibido: 2017-12-06 // Aceptado: 2019-02-18. |
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Contenido : |
Resumen: La ganadería es clave en la dinámica social, territorial y económica del Uruguay. El riego incluido en estos sistemas tiene la capacidad de potenciarlos, si bien la adopción de esta tecnología en el rubro es limitada. Esta investigación pretende estudiar la dinámica del cambio técnico en el riego, focalizando en aquellos productores ganaderos que han adoptado esta tecnología, así como indagar los factores que llevaron a su adopción. El estudio se realizó utilizando tres abordajes: revisión de fuentes secundarias, entrevistas a ganaderos regantes y entrevistas a informantes calificados. Los ganaderos
regantes fueron categorizados como «innovadores», y las razones que llevaron a los ganaderos a adoptar el riego son el aumento de la productividad y la estabilidad productiva de los sistemas. Si se asume que la falta de conocimiento para aplicar el riego no es limitante y que no es necesaria una escala mínima para su aplicación, estos son dos factores favorables para una eventual estrategia de promoción de esta tecnología. Mejoras en factores como las políticas públicas (marco jurídico), capacitaciones a todos los actores involucrados y el empleo de predios demostrativos (enfoque predios foco) son algunas sugerencias que se plantean para dinamizar el cambio técnico en la situación actual // Summary: Livestock farming is key to Uruguay?s social, territorial and economic dynamics. Should irrigation be included in these production systems, it would have the ability to boost them, but for the time being, the adoption of this technology is still limited. This research aimed at studying the dynamics of irrigation, focusing on livestock farmers that have adopted this technology, and at investigating the factors that led them to its adoption. Three approaches were utilized: secondary sources revision, interviews to farmers who irrigate, and interviews with qualified informants. These farmers were typified as «innovators» and
the reasons that led them to adopt irrigation were the increase in production and the stability of their production systems as a whole. Assuming that there are no knowledge constraints to use irrigation, and also that a minimum scale is not necessary, these two factors may turn an eventual adoption policy very promising. Improvements in factors such as public policies, training policies addressed to all involved actors and the use of demonstration farms are some suggestions proposed to boost the technical change in the current situation. MenosResumen: La ganadería es clave en la dinámica social, territorial y económica del Uruguay. El riego incluido en estos sistemas tiene la capacidad de potenciarlos, si bien la adopción de esta tecnología en el rubro es limitada. Esta investigación pretende estudiar la dinámica del cambio técnico en el riego, focalizando en aquellos productores ganaderos que han adoptado esta tecnología, así como indagar los factores que llevaron a su adopción. El estudio se realizó utilizando tres abordajes: revisión de fuentes secundarias, entrevistas a ganaderos regantes y entrevistas a informantes calificados. Los ganaderos
regantes fueron categorizados como «innovadores», y las razones que llevaron a los ganaderos a adoptar el riego son el aumento de la productividad y la estabilidad productiva de los sistemas. Si se asume que la falta de conocimiento para aplicar el riego no es limitante y que no es necesaria una escala mínima para su aplicación, estos son dos factores favorables para una eventual estrategia de promoción de esta tecnología. Mejoras en factores como las políticas públicas (marco jurídico), capacitaciones a todos los actores involucrados y el empleo de predios demostrativos (enfoque predios foco) son algunas sugerencias que se plantean para dinamizar el cambio técnico en la situación actual // Summary: Livestock farming is key to Uruguay?s social, territorial and economic dynamics. Should irrigation be included in these production systems, it would have the ability to boost... Presentar Todo |
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Palabras claves : |
ADOPCIÓN DE TECNOLOGÍAS; DIFFUSION OF TECHNOLOGY; DYNAMICS OF TECHNICAL CHANGE; GANADERÍA; IRRIGATION; LIVESTOCK FARMERS; PRODUCCIÓN GANADERA; RIEGO. |
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Asunto categoría : |
L01 Ganadería |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13855/1/Agrociencia-2019-Cazzuli.pdf
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Marc : |
LEADER 03471naa a2200289 a 4500
001 1060470
005 2019-11-28
008 2019 bl uuuu u00u1 u #d
022 $ae ISSN: 2301-1548
024 7 $a10.31285/AGRO.23.8$2DOI
100 1 $aCÁMARA, G.
245 $aLos productores ganaderos que adoptan riego$banálisis del cambio técnico. [Livestock farmers who adopt irrigation: analysis of technical change]$h[electronic resource]
260 $c2019
500 $aArticle history: Recibido: 2017-12-06 // Aceptado: 2019-02-18.
520 $aResumen: La ganadería es clave en la dinámica social, territorial y económica del Uruguay. El riego incluido en estos sistemas tiene la capacidad de potenciarlos, si bien la adopción de esta tecnología en el rubro es limitada. Esta investigación pretende estudiar la dinámica del cambio técnico en el riego, focalizando en aquellos productores ganaderos que han adoptado esta tecnología, así como indagar los factores que llevaron a su adopción. El estudio se realizó utilizando tres abordajes: revisión de fuentes secundarias, entrevistas a ganaderos regantes y entrevistas a informantes calificados. Los ganaderos regantes fueron categorizados como «innovadores», y las razones que llevaron a los ganaderos a adoptar el riego son el aumento de la productividad y la estabilidad productiva de los sistemas. Si se asume que la falta de conocimiento para aplicar el riego no es limitante y que no es necesaria una escala mínima para su aplicación, estos son dos factores favorables para una eventual estrategia de promoción de esta tecnología. Mejoras en factores como las políticas públicas (marco jurídico), capacitaciones a todos los actores involucrados y el empleo de predios demostrativos (enfoque predios foco) son algunas sugerencias que se plantean para dinamizar el cambio técnico en la situación actual // Summary: Livestock farming is key to Uruguay?s social, territorial and economic dynamics. Should irrigation be included in these production systems, it would have the ability to boost them, but for the time being, the adoption of this technology is still limited. This research aimed at studying the dynamics of irrigation, focusing on livestock farmers that have adopted this technology, and at investigating the factors that led them to its adoption. Three approaches were utilized: secondary sources revision, interviews to farmers who irrigate, and interviews with qualified informants. These farmers were typified as «innovators» and the reasons that led them to adopt irrigation were the increase in production and the stability of their production systems as a whole. Assuming that there are no knowledge constraints to use irrigation, and also that a minimum scale is not necessary, these two factors may turn an eventual adoption policy very promising. Improvements in factors such as public policies, training policies addressed to all involved actors and the use of demonstration farms are some suggestions proposed to boost the technical change in the current situation.
653 $aADOPCIÓN DE TECNOLOGÍAS
653 $aDIFFUSION OF TECHNOLOGY
653 $aDYNAMICS OF TECHNICAL CHANGE
653 $aGANADERÍA
653 $aIRRIGATION
653 $aLIVESTOCK FARMERS
653 $aPRODUCCIÓN GANADERA
653 $aRIEGO
700 1 $aCAZZULI, F.
700 1 $aARBELETCHE, P.
700 1 $aDE HEGEDUS, P.
773 $tAgrociencia Uruguay, 2019, 23(2):1-13.
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Registro original : |
INIA Tacuarembó (TBO) |
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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 : |
28/03/2016 |
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Actualizado : |
24/09/2018 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 1 |
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Autor : |
BASSU, S.; BRISSON, N.; DURAND, J.L.; BOOTE, K.; LIZASO, J.; JONES, J.W.; ROSENZWEIG, C.; RUANE, A.C.; ADAM, M.; BARON, C.; BASSO, B.; BIERNATH, C.; BOOGAARD, H.; CONIJN, S.; CORBEELS, M.L; DERYNG, D.; SANTIS, G. DE; GAYLER, S.; GRASSINI, P.; HATFIELD, J.; HOEK, S.; IZAURRALDE, C.; JONGSCHAAP, R.; KEMANIAN, A.R.; KERSEBAUM, C.KIM, S-H.; KUMAR, N.; MAKOWSKI, D.; MÜLLER, C.; NENDEL, C.; PRIESACK, E.; PRAVIA, V.; SAU, F.; SHCHERBAK, I.; TAO, F.; TEXEIRA, E.; TIMLIN, D.; WAHA, K. |
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Afiliación : |
MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Department of Plant Science, The Pennsylvania State University, USA. |
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Título : |
How do various maize crop models vary in their responses to climate change factors? |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
Global Change Biology, 2014, v.20(7), p. 2301-2320. |
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DOI : |
10.1111/gcb.12520 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 7 June 2013 and accepted 2 December 2013, published 2014. |
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Contenido : |
Abstract:
Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, growth, and yield. With the goal of analyzing the sensitivity of simulated yields to changes in temperature and atmospheric carbon dioxide concentrations [CO2], we present the largest maize crop model intercomparison to date, including 23 different models. These models were evaluated for four locations representing a wide range of maize production conditions in the world: Lusignan (France), Ames (USA), Rio Verde (Brazil) and Morogoro (Tanzania).
While individual models differed considerably in absolute yield simulation at the four sites, an ensemble of a minimum number of models was able to simulate absolute yields accurately at the four sites even with low data forcalibration, thus suggesting that using an ensemble of models has merit. Temperature increase had strong negative influence on modeled yield response of roughly 0.5 Mg ha1 per °C. Doubling [CO2] from 360 to 720 lmol mol1 increased grain yield by 7.5% on average across models and the sites. That would therefore make temperature the main factor altering maize yields at the end of this century. Furthermore, there was a large uncertainty in the yield response to [CO2] among models. Model responses to temperature and [CO2] did not differ whether models were simulated with low calibration information or, simulated with high level of calibration information. MenosAbstract:
Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, growth, and yield. With the goal of analyzing the sensitivity of simulated yields to changes in temperature and atmospheric carbon dioxide concentrations [CO2], we present the largest maize crop model intercomparison to date, including 23 different models. These models were evaluated for four locations representing a wide range of maize production conditions in the world: Lusignan (France), Ames (USA), Rio Verde (Brazil) and Morogoro (Tanzania).
While individual models differed considerably in absolute yield simulation at the four sites, an ensemble of a minimum number of models was able to simulate absolute yields accurately at the four sites even with low data forcalibration, thus suggesting that using an ensemble of models has merit. Temperature increase had strong negative influence on modeled yield response of roughly 0.5 Mg ha1 per °C. Doubling [CO2] from 360 to 720 lmol mol1 increased grain yield by 7.5% on average across models and the sites. That would therefore make temperature the main factor altering maize yields at the end of this century. Furthermore, there was a large uncertainty in the yield response to [CO2]... Presentar Todo |
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Palabras claves : |
AGMIP; CARBON DIOXIDE; CLIMATE; CO2; GRAIN YIELD; MAIZE; MODEL INTERCOMPARISON; MODELIZACIÓN DE CULTIVOS; SIMULATION MODELS; TEMPERATURE. |
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Thesagro : |
CLIMA; DIOXIDO DE CARBONO; INCERTIDUMBRE; MAÍZ; MODELOS DE SIMULACIÓN; TEMPERATURA. |
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Asunto categoría : |
U10 Métodos matemáticos y estadísticos |
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Marc : |
LEADER 03684naa a2200769 a 4500
001 1054517
005 2018-09-24
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1111/gcb.12520$2DOI
100 1 $aBASSU, S.
245 $aHow do various maize crop models vary in their responses to climate change factors?$h[electronic resource]
260 $c2014
500 $aArticle history: Received 7 June 2013 and accepted 2 December 2013, published 2014.
520 $aAbstract: Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, growth, and yield. With the goal of analyzing the sensitivity of simulated yields to changes in temperature and atmospheric carbon dioxide concentrations [CO2], we present the largest maize crop model intercomparison to date, including 23 different models. These models were evaluated for four locations representing a wide range of maize production conditions in the world: Lusignan (France), Ames (USA), Rio Verde (Brazil) and Morogoro (Tanzania). While individual models differed considerably in absolute yield simulation at the four sites, an ensemble of a minimum number of models was able to simulate absolute yields accurately at the four sites even with low data forcalibration, thus suggesting that using an ensemble of models has merit. Temperature increase had strong negative influence on modeled yield response of roughly 0.5 Mg ha1 per °C. Doubling [CO2] from 360 to 720 lmol mol1 increased grain yield by 7.5% on average across models and the sites. That would therefore make temperature the main factor altering maize yields at the end of this century. Furthermore, there was a large uncertainty in the yield response to [CO2] among models. Model responses to temperature and [CO2] did not differ whether models were simulated with low calibration information or, simulated with high level of calibration information.
650 $aCLIMA
650 $aDIOXIDO DE CARBONO
650 $aINCERTIDUMBRE
650 $aMAÍZ
650 $aMODELOS DE SIMULACIÓN
650 $aTEMPERATURA
653 $aAGMIP
653 $aCARBON DIOXIDE
653 $aCLIMATE
653 $aCO2
653 $aGRAIN YIELD
653 $aMAIZE
653 $aMODEL INTERCOMPARISON
653 $aMODELIZACIÓN DE CULTIVOS
653 $aSIMULATION MODELS
653 $aTEMPERATURE
700 1 $aBRISSON, N.
700 1 $aDURAND, J.L.
700 1 $aBOOTE, K.
700 1 $aLIZASO, J.
700 1 $aJONES, J.W.
700 1 $aROSENZWEIG, C.
700 1 $aRUANE, A.C.
700 1 $aADAM, M.
700 1 $aBARON, C.
700 1 $aBASSO, B.
700 1 $aBIERNATH, C.
700 1 $aBOOGAARD, H.
700 1 $aCONIJN, S.
700 1 $aCORBEELS, M.L
700 1 $aDERYNG, D.
700 1 $aSANTIS, G. DE
700 1 $aGAYLER, S.
700 1 $aGRASSINI, P.
700 1 $aHATFIELD, J.
700 1 $aHOEK, S.
700 1 $aIZAURRALDE, C.
700 1 $aJONGSCHAAP, R.
700 1 $aKEMANIAN, A.R.
700 1 $aKERSEBAUM, C.KIM, S-H.
700 1 $aKUMAR, N.
700 1 $aMAKOWSKI, D.
700 1 $aMÜLLER, C.
700 1 $aNENDEL, C.
700 1 $aPRIESACK, E.
700 1 $aPRAVIA, V.
700 1 $aSAU, F.
700 1 $aSHCHERBAK, I.
700 1 $aTAO, F.
700 1 $aTEXEIRA, E.
700 1 $aTIMLIN, D.
700 1 $aWAHA, K.
773 $tGlobal Change Biology, 2014$gv.20(7), p. 2301-2320.
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