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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
22/01/2021 |
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Actualizado : |
22/01/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
RIVERO, M.J.; LÓPEZ-VILLALOBOS, N.; EVANS, A.; BERNDT, A.; CARTMILL, A.; NEAL, A. L.; MCLAREN, A.; FARRUGGIA, A.; MIGNOLET, C.; CHADWICK, D.; STYLES, D.; MCCRACKEN, D.; BUSCH, D.; MARTIN, G. B.; FLEMING, H.; SHERIDAN, H.; GIBBONS, J.; MERBOLD, L.; EISLER, M.; LAMBE, N.; ROVIRA, P.J.; HARRIS, P.; MURPHY, P.; VERCOE, P. E.; WILLIAMS, P.; MACHADO, R.; TAKAHASHI, T.; PUECH, T.; BOLAND, T.; AYALA, W.; LEE, M.R.F. |
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Afiliación : |
M. JORDANA RIVERO, Sustainable Agricultural Science, Rothamsted Research, UK.; NICOLÁS LÓPEZ-VILLALOBOS, School of Agriculture and Environment, Massey University, New Zealand.; ALEX EVANS, School of Agriculture and Food Science, University College Dublin, Ireland.; ALEXANDRE BERNDT, Embrapa Southeast Livestock, Sao Paulo, Brazil.; ANDREW CARTMILL, Shool of Agriculture, University of Wisconsin-Platteville, USA.; ANDREW L. NEAL, Sustainable Agriculture Sciences, Rothamsted Research, UK.; ANN , MCLAREN, Hill and Mountain Research Centre, UK.; ANNE FARRUGGIA, Institut National de Recherche por l'agriculture. I'alimentation et I'environment (INRAE) Département sciences por l'action, les transitions, les territories (ACT), Unité Experimentale, Saint Laurent de la Prée. France; CATHERINE MIGNOLET, Institut National de Recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Departament Sciences jpor l'action, les transitions, les territories (ACT), Unité de Recherche Mirecourt, France.; DAVE CHADWICK, School of Nature Sciences, Bangor University, UK.; DAVID STYLES, School of Nature Sciences, Bangor University, UK.; DAVY MCCRAKEN, Hill and Mountain Research Centre, UK.; DENNIS BUSCH, Shool of Agriculture, University of Wisconsin-Platteville, USA.; GRAEME B. MARTIN, The UWA Institute of Agriculture, The University of Western Australia, Australia.; HANNAH FLEMING, Sustainable Agricultural Science, Rothamsted Research, UK.; HELEN SHERIDAN, School of Agriculture and Food Science, University College Dublin, Ireland.; JAMES GIBBONS, School of Nature Sciences, Bangor University, UK.; LUTZ MERBOLD, Mazingira Centre, International Livestock Research institute, Nairobi, kenya.; MARK EISLER, Bristol Veterinary school, University of Bristol, UK.; NICOLA LAMBE, Hill and Mountain Research Centre, UK.; PABLO JUAN ROVIRA SANZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PAUL HARRIS, Sustainable Agricultural Science, Rothamsted Research, UK.; PAUL MURPHY, School of Agriculture and Food Science, University College Dublin, Ireland.; PHILIP E. VERCOE, The UWA Institute of Agriculture, The University Research Institute, Nairobi, Kenya.; PRYSIR WILLIAMS, School of Nature Sciences, Bangor University, UK.; RUI MACHADO, Institut National de Recherche por l'agriculture. I'alimentation et I'environment (INRAE) Département sciences por l'action, les transitions, les territories (ACT), Unité Experimentale, Saint Laurent de la Prée. France; TARO TAKAHASHI, Sustainable Agricultural Science, Rothamsted Research, UK.; THOMAS PUECH, Institut National de Recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Departament Sciences jpor l'action, les transitions, les territories (ACT), Unité de Recherche Mirecourt, France.; TOMMY BOLAND, School of Agriculture and Food Science, University College Dublin, Ireland.; WALTER FELIZARDO AYALA SILVERA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MICHAEL R. F. LEE, Sustainable Agricultural Science, Rothamsted Research, UK. / Bristol Veterinary school, University of Bristol, UK. |
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Título : |
Key traits for ruminant livestock across diverse production systems in the context of climate change: perspectives from a global platform of research farms. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Reproduction, Fertility and Development, 8 January 2021, vol. 33, p. 1-19. OPEN ACCESS. Doi: https://doi.org/10.1071/RD20205 |
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DOI : |
10.1071/RD20205 |
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Idioma : |
Inglés |
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Notas : |
Article history: Published online 8 January 2021.
Corresponding author: michael.lee@rothamsted.ac.uk |
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Contenido : |
Abstract: Ruminant livestock are raised under diverse cultural and environmental production systems around the globe. Ruminant livestock can play a critical role in food security by supplying high-quality, nutrient-dense food with little or no competition for arable land while simultaneously improving soil health through vital returns of organic matter. However,
in the context of climate change and limited land resources, the role of ruminant-based systems is uncertain because of their reputed low efficiency of feed conversion (kilogram of feed required per kilogram of product) and the production of methane as a by-product of enteric fermentation. A growing human population will demand more animal protein, which
will put greater pressure on the Earth?s planetary boundaries and contribute further to climate change. Therefore, livestock production globally faces the dual challenges of mitigating emissions and adapting to a changing climate. This requires research-led animal and plant breeding and feeding strategies to optimise ruminant systems. This study collated information from a global network of research farms reflecting a variety of ruminant production systems in diverse regions of the globe. Using thisinformation, key changesin the genetic and nutritional approachesrelevant to each system were drawn that, if implemented, would help shape more sustainable future ruminant livestock systems. |
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Palabras claves : |
BREEDING GOALS; FEEDING STRATEGIES; GENETIC RESOURCES; GLOBAL WARMING; GRAZING RUMINANTS; PRODUCTION SYSTEMS; SUSTAINABLE INTENSIFICATION. |
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Asunto categoría : |
L01 Ganadería |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/14933/1/Reproduction-fertility-development-2021-1.pdf
https://www.publish.csiro.au/rd/Fulltext/RD20205
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Marc : |
LEADER 03190naa a2200589 a 4500
001 1061677
005 2021-01-22
008 2021 bl uuuu u00u1 u #d
024 7 $a10.1071/RD20205$2DOI
100 1 $aRIVERO, M.J.
245 $aKey traits for ruminant livestock across diverse production systems in the context of climate change$bperspectives from a global platform of research farms.$h[electronic resource]
260 $c2021
500 $aArticle history: Published online 8 January 2021. Corresponding author: michael.lee@rothamsted.ac.uk
520 $aAbstract: Ruminant livestock are raised under diverse cultural and environmental production systems around the globe. Ruminant livestock can play a critical role in food security by supplying high-quality, nutrient-dense food with little or no competition for arable land while simultaneously improving soil health through vital returns of organic matter. However, in the context of climate change and limited land resources, the role of ruminant-based systems is uncertain because of their reputed low efficiency of feed conversion (kilogram of feed required per kilogram of product) and the production of methane as a by-product of enteric fermentation. A growing human population will demand more animal protein, which will put greater pressure on the Earth?s planetary boundaries and contribute further to climate change. Therefore, livestock production globally faces the dual challenges of mitigating emissions and adapting to a changing climate. This requires research-led animal and plant breeding and feeding strategies to optimise ruminant systems. This study collated information from a global network of research farms reflecting a variety of ruminant production systems in diverse regions of the globe. Using thisinformation, key changesin the genetic and nutritional approachesrelevant to each system were drawn that, if implemented, would help shape more sustainable future ruminant livestock systems.
653 $aBREEDING GOALS
653 $aFEEDING STRATEGIES
653 $aGENETIC RESOURCES
653 $aGLOBAL WARMING
653 $aGRAZING RUMINANTS
653 $aPRODUCTION SYSTEMS
653 $aSUSTAINABLE INTENSIFICATION
700 1 $aLÓPEZ-VILLALOBOS, N.
700 1 $aEVANS, A.
700 1 $aBERNDT, A.
700 1 $aCARTMILL, A.
700 1 $aNEAL, A. L.
700 1 $aMCLAREN, A.
700 1 $aFARRUGGIA, A.
700 1 $aMIGNOLET, C.
700 1 $aCHADWICK, D.
700 1 $aSTYLES, D.
700 1 $aMCCRACKEN, D.
700 1 $aBUSCH, D.
700 1 $aMARTIN, G. B.
700 1 $aFLEMING, H.
700 1 $aSHERIDAN, H.
700 1 $aGIBBONS, J.
700 1 $aMERBOLD, L.
700 1 $aEISLER, M.
700 1 $aLAMBE, N.
700 1 $aROVIRA, P.J.
700 1 $aHARRIS, P.
700 1 $aMURPHY, P.
700 1 $aVERCOE, P. E.
700 1 $aWILLIAMS, P.
700 1 $aMACHADO, R.
700 1 $aTAKAHASHI, T.
700 1 $aPUECH, T.
700 1 $aBOLAND, T.
700 1 $aAYALA, W.
700 1 $aLEE, M.R.F.
773 $tReproduction, Fertility and Development, 8 January 2021, vol. 33, p. 1-19. OPEN ACCESS. Doi: https://doi.org/10.1071/RD20205
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Registro original : |
INIA Treinta y Tres (TT) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
19/03/2021 |
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Actualizado : |
22/03/2021 |
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Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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Autor : |
FERNANDEZ, E.; SOARES DE LIMA, J.M.; FERRARO, B.; LANFRANCO, B. |
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Afiliación : |
ENRIQUE GENARO FERNANDEZ RODRIGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN MANUEL SOARES DE LIMA LAPETINA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; BRUNO FERRARO ALBERTONI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; BRUNO ANTONIO LANFRANCO CRESPO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Technology adoption, production performance and factors driving farmers' decision making process in beef cattle farms in Uruguay. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
In: 23rd ICABR (Intenational Consortium on Applied Bioeconomy Research) Conference,4-7 June 2019, Ravello, Italy. [Trabajo en Congreso + Poster + Presentación Oral]. |
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Idioma : |
Inglés |
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Contenido : |
Abstract:
In 2016, the Sustainable Development Solutions Network (SDSN) project issued the first report with the Agricultural Transformation Pathways (ATP) for Uruguay and two other selected study cases. Beef is one of the main agri-food chains included in Uruguay´s first studies given is the
country´s main export, production is the largest in terms of land used (12,6 million ha) and farms involved (44780). After setting Sustainable Development Goals (SDG)-consistent ATPs, the proposed ?backcasting? methodology includes the identification of roadblocks to overcome to
transition. Using data from the National Cattle Farm Survey 2016 (1298 farms) this paper addresses the relationship between farm business orientation, farm size, technological level, and production performance. The objective is to understand the main constraints to the adoption of technology and the driving factors to consider in the design of future assistance programs. Cattle farms were classified according to their livestock business main orientation. A Technological Index (TI) was developed and calculated for each farm using data of application
of specific production practices, farm production efficiency indicators and the extension and type of improved pastures in the farm. Results show a strong and increasing relationship trend between farm size, technological level, production performance and net income, particularly for cow-calf operations. Available facilities for specific technology implementation and excess stocking rate are some of the main factors constraining productivity. Small farmers´ view of cattle accumulation as a denotation of wealth and a secure readily available savings fund needs to be addressed in future programs seeking higher technology use and production. MenosAbstract:
In 2016, the Sustainable Development Solutions Network (SDSN) project issued the first report with the Agricultural Transformation Pathways (ATP) for Uruguay and two other selected study cases. Beef is one of the main agri-food chains included in Uruguay´s first studies given is the
country´s main export, production is the largest in terms of land used (12,6 million ha) and farms involved (44780). After setting Sustainable Development Goals (SDG)-consistent ATPs, the proposed ?backcasting? methodology includes the identification of roadblocks to overcome to
transition. Using data from the National Cattle Farm Survey 2016 (1298 farms) this paper addresses the relationship between farm business orientation, farm size, technological level, and production performance. The objective is to understand the main constraints to the adoption of technology and the driving factors to consider in the design of future assistance programs. Cattle farms were classified according to their livestock business main orientation. A Technological Index (TI) was developed and calculated for each farm using data of application
of specific production practices, farm production efficiency indicators and the extension and type of improved pastures in the farm. Results show a strong and increasing relationship trend between farm size, technological level, production performance and net income, particularly for cow-calf operations. Available facilities for specific technology implementation a... Presentar Todo |
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Palabras claves : |
DEVELOPMENT; LIVESTOCK PRODUCTION; SDSN; SUSTAINABLE INTENSIFICATION; TECHNOLOGY ADOPTION. |
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Thesagro : |
APPLIED ECONOMY UNIT; BEEF CATTLE; ECONOMY PROGRAM; PRODUCTION SYSTEMS; PROGRAMA DE ECONONÍA; SISTEMAS DE PRODUCCIÓN; UNIDAD ECONOMIA APLICADA - INIA. |
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Asunto categoría : |
A50 Investigación agraria |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15369/1/ICABR-2019-Paper-225.pdf
http://www.ainfo.inia.uy/digital/bitstream/item/15370/1/Poster-paper-225-Ravello.pdf
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Marc : |
LEADER 02828nam a2200289 a 4500
001 1061847
005 2021-03-22
008 2019 bl uuuu u01u1 u #d
100 1 $aFERNANDEZ, E.
245 $aTechnology adoption, production performance and factors driving farmers' decision making process in beef cattle farms in Uruguay.$h[electronic resource]
260 $aIn: 23rd ICABR (Intenational Consortium on Applied Bioeconomy Research) Conference,4-7 June 2019, Ravello, Italy. [Trabajo en Congreso + Poster + Presentación Oral].$c2019
520 $aAbstract: In 2016, the Sustainable Development Solutions Network (SDSN) project issued the first report with the Agricultural Transformation Pathways (ATP) for Uruguay and two other selected study cases. Beef is one of the main agri-food chains included in Uruguay´s first studies given is the country´s main export, production is the largest in terms of land used (12,6 million ha) and farms involved (44780). After setting Sustainable Development Goals (SDG)-consistent ATPs, the proposed ?backcasting? methodology includes the identification of roadblocks to overcome to transition. Using data from the National Cattle Farm Survey 2016 (1298 farms) this paper addresses the relationship between farm business orientation, farm size, technological level, and production performance. The objective is to understand the main constraints to the adoption of technology and the driving factors to consider in the design of future assistance programs. Cattle farms were classified according to their livestock business main orientation. A Technological Index (TI) was developed and calculated for each farm using data of application of specific production practices, farm production efficiency indicators and the extension and type of improved pastures in the farm. Results show a strong and increasing relationship trend between farm size, technological level, production performance and net income, particularly for cow-calf operations. Available facilities for specific technology implementation and excess stocking rate are some of the main factors constraining productivity. Small farmers´ view of cattle accumulation as a denotation of wealth and a secure readily available savings fund needs to be addressed in future programs seeking higher technology use and production.
650 $aAPPLIED ECONOMY UNIT
650 $aBEEF CATTLE
650 $aECONOMY PROGRAM
650 $aPRODUCTION SYSTEMS
650 $aPROGRAMA DE ECONONÍA
650 $aSISTEMAS DE PRODUCCIÓN
650 $aUNIDAD ECONOMIA APLICADA - INIA
653 $aDEVELOPMENT
653 $aLIVESTOCK PRODUCTION
653 $aSDSN
653 $aSUSTAINABLE INTENSIFICATION
653 $aTECHNOLOGY ADOPTION
700 1 $aSOARES DE LIMA, J.M.
700 1 $aFERRARO, B.
700 1 $aLANFRANCO, B.
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