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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
19/02/2021 |
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Actualizado : |
09/04/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
ROSSING, W. A. H.; ALBICETTE, M.M.; AGUERRE, V.; LEONI, C.; RUGGIA, A.; DOGLIOTTI, S. |
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Afiliación : |
WALTER A.H. ROSSING, Farming Systems Ecology, Wageningen University and Research, Wageningen, the Netherlands; MARIA MARTA ALBICETTE BASTRERI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA VERONICA AGUERRE ANTIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAROLINA LEONI VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDREA PAOLA RUGGIA CHIESA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO DOGLIOTTI, Department of Plant Production, Faculty of Agronomy, University of the Republic, Montevideo, Uruguay. |
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Título : |
Crafting actionable knowledge on ecological intensification: Lessons from co-innovation approaches in Uruguay and Europe. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Agricultural Systems, May 2021, Volume 190, 103103. OPEN ACCESS. Doi: https://doi.org/10.1016/j.agsy.2021.103103 |
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ISSN : |
0308-521X |
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DOI : |
10.1016/j.agsy.2021.103103 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 12 October 2020; Revised 5 February 2021; Accepted 9 February 2021; Available online 18 February 2021.
Editor: Guillaume Martin. |
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Contenido : |
ABSTRACT.
Context. - Despite a wealth of analytical knowledge on factors and processes that operate to slow down or impede sustainability transitions in various sectors of society, design-oriented researchers face a lack of guidance on the ?how to? question for developing knowledge to support sustainability changes. From 2007, we crafted co-innovation as an approach for governance and management of change-oriented projects, combining three domains; a complex adaptive systems perspective, a social learning setting, and dynamic monitoring and evaluation.
Objective. - This paper sets out to describe the co-innovation approach and draw lessons from its application in projects on ecological intensification in Uruguay and the European Union.
© 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) |
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Palabras claves : |
Complex adaptive system; Dynamic monitoring and evaluation; Project pedigree; Social learning; Socio-technical system; Sustainability transition experiments. |
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Asunto categoría : |
A50 Investigación agraria |
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URL : |
https://www.sciencedirect.com/science/article/pii/S0308521X21000561/pdfft?md5=04b95d2c8afadc0024ca7af9357bd1a4&pid=1-s2.0-S0308521X21000561-main.pdf
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Marc : |
LEADER 02014naa a2200289 a 4500
001 1061736
005 2021-04-09
008 2021 bl uuuu u00u1 u #d
022 $a0308-521X
024 7 $a10.1016/j.agsy.2021.103103$2DOI
100 1 $aROSSING, W. A. H.
245 $aCrafting actionable knowledge on ecological intensification$bLessons from co-innovation approaches in Uruguay and Europe.$h[electronic resource]
260 $c2021
500 $aArticle history: Received 12 October 2020; Revised 5 February 2021; Accepted 9 February 2021; Available online 18 February 2021. Editor: Guillaume Martin.
520 $aABSTRACT. Context. - Despite a wealth of analytical knowledge on factors and processes that operate to slow down or impede sustainability transitions in various sectors of society, design-oriented researchers face a lack of guidance on the ?how to? question for developing knowledge to support sustainability changes. From 2007, we crafted co-innovation as an approach for governance and management of change-oriented projects, combining three domains; a complex adaptive systems perspective, a social learning setting, and dynamic monitoring and evaluation. Objective. - This paper sets out to describe the co-innovation approach and draw lessons from its application in projects on ecological intensification in Uruguay and the European Union. © 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
653 $aComplex adaptive system
653 $aDynamic monitoring and evaluation
653 $aProject pedigree
653 $aSocial learning
653 $aSocio-technical system
653 $aSustainability transition experiments
700 1 $aALBICETTE, M.M.
700 1 $aAGUERRE, V.
700 1 $aLEONI, C.
700 1 $aRUGGIA, A.
700 1 $aDOGLIOTTI, S.
773 $tAgricultural Systems, May 2021, Volume 190, 103103. OPEN ACCESS. Doi: https://doi.org/10.1016/j.agsy.2021.103103
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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
02/10/2019 |
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Actualizado : |
21/01/2020 |
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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 : |
CANOZZI, M.E.A.; MARQUES, P.M.; TEIXEIRA, O. DE S.; PIMENTEL, C.M.M.; DILL, M.D.; BARCELLOS, J.O.J. |
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Afiliación : |
MARÍA EUGENIA ANDRIGHETTO CANOZZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PEDRO ROCHA MARQUES, Departamento de Zootecnia, Universidade Federal do Rio Grande do Sul (UFRGS), 91540-000, Porto Alegre, RS, Brasil.; ODILENE DE SOUZA TEIXEIRA, Departamento de Zootecnia, Universidade Federal do Rio Grande do Sul (UFRGS), 91540-000, Porto Alegre, RS, Brasil.; CONCEPTA MARGARET MCMANUS PIMENTEL, Instituto de Ciências Biológicas, Universidade Federal de Brasília (UnB), Brasília, DF, Brasil.; MATHEUS DHEIN DILL, Unidade Acadêmica de Garanhuns (UAG), Universidade Federal Rural de Pernambuco (UFRPE), Garanhuns, PE, Brasil.; JÚLIO OTÁVIO JARDIM BARCELLOS, Departamento de Zootecnia, Universidade Federal do Rio Grande do Sul (UFRGS), 91540-000, Porto Alegre, RS, Brasil. |
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Título : |
Typology of beef production systems according to bioeconomic efficiency in the south of Brazil. [Tipologia de sistemas de produção de carne bovina de acordo com a eficiência bioeconômica no sul do Brasil]¨. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Ciencia Rural, Santa Marìa, september 2019, vol.49, no.10,e20190030. OPEN ACCESS. Doi: 10.1590/0103-8478cr20190030 |
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ISSN : |
0103-8478 On-line |
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DOI : |
10.1590/0103-8478cr20190030 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 01.14.19 / Approved 07.26.19/ Returned by the author 08.21.19. |
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Contenido : |
ABSTRACT: The objective of this study was to evaluate the bioeconomic efficiency of beef cattle production systems in the south of Brazil. A
survey was conducted with 33 beef cattle farmers operating with complete cycle production systems in areas larger or equal to 900 ha. Answers
were classified in two drivers, technology (TEC) and management (MAN), which were separated into subfactors with their respective components.
Multiple correspondence analysis, Tukey test, cluster analysis, and Pearson correlation were the statistics procedures. The TEC components were
above normal for Brazilian farmers, but the gross margin is still lower than that needed to generate financial resources for a proper remuneration
of cattle farmer. Farmers were classified into three clusters according to bioeconomic efficiency: low (LEL), intermediate (IEL), or high-efficiency
level (HEL). The TEC driver differentiated the LEL x HEL clusters and the MAN, mainly expressed in costs, the IEL x HEL. Positive correlation
between age at first mating and age at slaughter in the HEL cluster explains the higher costs when compared to IEL because of the use of
differentiated feed resources. Investments in technologies related to herd feeding in HEL cluster improved the productivity by only 20% and the
cost per hectare by 95 USD ha-1 in comparison to IEL cluster. The main differences between farmers are because of the use of technologies related
to feeding and cost management. Therefore, before implementing a new technology, an economic evaluation is necessary.
RESUMO: O objetivo deste estudo foi avaliar a eficiência bioeconômica em sistemas de produção de bovinos de corte no sul do Brasil. A pesquisa foi realizada com 33 pecuaristas que operam com sistemas de produção baseado em ciclo completo, em áreas maiores ou iguais a 900 hectares. As respostas foram classificadas em dois fatores: tecnologia (TEC) e gestão (GES), os quais foram separados em subfatores com seus respectivos componentes. A análise de correspondência múltipla, teste de Tukey, análise de cluster e correlação de Pearson foram os procedimentos estatísticos. Os componentes do TEC estavam acima do normal para os pecuaristas brasileiros, mas a margem bruta ainda é menor do que a necessária para gerar recursos financeiros para uma remuneração adequada ao pecuarista. Os pecuaristas foram classificados em três grupos de acordo com a eficiência bioeconômica: baixo (BNE), intermediário (INE) ou alto nível de eficiência (ANE). O driver TEC diferenciou os clusters BNE x ANE e o GES, expresso principalmente em custos, o INE x ANE. A correlação positiva entre a idade no primeiro acasalamento e a idade ao abate no agrupamento ANE explica os custos mais elevados quando comparados aos INE, devido ao uso de recursos alimentares diferenciados. Os investimentos em tecnologias relacionadas à alimentação de rebanho no agrupamento ANE melhoraram a produtividade em apenas 20% e o custo por hectare em 95 USD ha-1 em comparação ao cluster INE. As principais diferenças entre os pecuaristas se devem ao uso de tecnologias relacionadas à alimentação e ao gerenciamento de custos. Portanto, antes de implementar uma nova tecnologia, uma avaliação econômica é necessária. MenosABSTRACT: The objective of this study was to evaluate the bioeconomic efficiency of beef cattle production systems in the south of Brazil. A
survey was conducted with 33 beef cattle farmers operating with complete cycle production systems in areas larger or equal to 900 ha. Answers
were classified in two drivers, technology (TEC) and management (MAN), which were separated into subfactors with their respective components.
Multiple correspondence analysis, Tukey test, cluster analysis, and Pearson correlation were the statistics procedures. The TEC components were
above normal for Brazilian farmers, but the gross margin is still lower than that needed to generate financial resources for a proper remuneration
of cattle farmer. Farmers were classified into three clusters according to bioeconomic efficiency: low (LEL), intermediate (IEL), or high-efficiency
level (HEL). The TEC driver differentiated the LEL x HEL clusters and the MAN, mainly expressed in costs, the IEL x HEL. Positive correlation
between age at first mating and age at slaughter in the HEL cluster explains the higher costs when compared to IEL because of the use of
differentiated feed resources. Investments in technologies related to herd feeding in HEL cluster improved the productivity by only 20% and the
cost per hectare by 95 USD ha-1 in comparison to IEL cluster. The main differences between farmers are because of the use of technologies related
to feeding and cost management. Therefore, before implementing a ... Presentar Todo |
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Palabras claves : |
ANÁLISE DE CLUSTER; ANIMAL PRODUCTION; BOVINOS; CATTLE; CLUSTER ANALYSIS; CUSTO DE PRODUÇÃO; PRODUÇÃO ANIMAL; PRODUCTION COST. |
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Thesagro : |
PRODUCCION ANIMAL. |
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Asunto categoría : |
L01 Ganadería |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13391/1/CR-Canozzi-et-al.-2019.pdf
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Marc : |
LEADER 04478naa a2200325 a 4500
001 1060258
005 2020-01-21
008 2019 bl uuuu u00u1 u #d
022 $a0103-8478 On-line
024 7 $a10.1590/0103-8478cr20190030$2DOI
100 1 $aCANOZZI, M.E.A.
245 $aTypology of beef production systems according to bioeconomic efficiency in the south of Brazil. [Tipologia de sistemas de produção de carne bovina de acordo com a eficiência bioeconômica no sul do Brasil]¨.$h[electronic resource]
260 $c2019
500 $aArticle history: Received 01.14.19 / Approved 07.26.19/ Returned by the author 08.21.19.
520 $aABSTRACT: The objective of this study was to evaluate the bioeconomic efficiency of beef cattle production systems in the south of Brazil. A survey was conducted with 33 beef cattle farmers operating with complete cycle production systems in areas larger or equal to 900 ha. Answers were classified in two drivers, technology (TEC) and management (MAN), which were separated into subfactors with their respective components. Multiple correspondence analysis, Tukey test, cluster analysis, and Pearson correlation were the statistics procedures. The TEC components were above normal for Brazilian farmers, but the gross margin is still lower than that needed to generate financial resources for a proper remuneration of cattle farmer. Farmers were classified into three clusters according to bioeconomic efficiency: low (LEL), intermediate (IEL), or high-efficiency level (HEL). The TEC driver differentiated the LEL x HEL clusters and the MAN, mainly expressed in costs, the IEL x HEL. Positive correlation between age at first mating and age at slaughter in the HEL cluster explains the higher costs when compared to IEL because of the use of differentiated feed resources. Investments in technologies related to herd feeding in HEL cluster improved the productivity by only 20% and the cost per hectare by 95 USD ha-1 in comparison to IEL cluster. The main differences between farmers are because of the use of technologies related to feeding and cost management. Therefore, before implementing a new technology, an economic evaluation is necessary. RESUMO: O objetivo deste estudo foi avaliar a eficiência bioeconômica em sistemas de produção de bovinos de corte no sul do Brasil. A pesquisa foi realizada com 33 pecuaristas que operam com sistemas de produção baseado em ciclo completo, em áreas maiores ou iguais a 900 hectares. As respostas foram classificadas em dois fatores: tecnologia (TEC) e gestão (GES), os quais foram separados em subfatores com seus respectivos componentes. A análise de correspondência múltipla, teste de Tukey, análise de cluster e correlação de Pearson foram os procedimentos estatísticos. Os componentes do TEC estavam acima do normal para os pecuaristas brasileiros, mas a margem bruta ainda é menor do que a necessária para gerar recursos financeiros para uma remuneração adequada ao pecuarista. Os pecuaristas foram classificados em três grupos de acordo com a eficiência bioeconômica: baixo (BNE), intermediário (INE) ou alto nível de eficiência (ANE). O driver TEC diferenciou os clusters BNE x ANE e o GES, expresso principalmente em custos, o INE x ANE. A correlação positiva entre a idade no primeiro acasalamento e a idade ao abate no agrupamento ANE explica os custos mais elevados quando comparados aos INE, devido ao uso de recursos alimentares diferenciados. Os investimentos em tecnologias relacionadas à alimentação de rebanho no agrupamento ANE melhoraram a produtividade em apenas 20% e o custo por hectare em 95 USD ha-1 em comparação ao cluster INE. As principais diferenças entre os pecuaristas se devem ao uso de tecnologias relacionadas à alimentação e ao gerenciamento de custos. Portanto, antes de implementar uma nova tecnologia, uma avaliação econômica é necessária.
650 $aPRODUCCION ANIMAL
653 $aANÁLISE DE CLUSTER
653 $aANIMAL PRODUCTION
653 $aBOVINOS
653 $aCATTLE
653 $aCLUSTER ANALYSIS
653 $aCUSTO DE PRODUÇÃO
653 $aPRODUÇÃO ANIMAL
653 $aPRODUCTION COST
700 1 $aMARQUES, P.M.
700 1 $aTEIXEIRA, O. DE S.
700 1 $aPIMENTEL, C.M.M.
700 1 $aDILL, M.D.
700 1 $aBARCELLOS, J.O.J.
773 $tCiencia Rural, Santa Marìa, september 2019, vol.49, no.10,e20190030. OPEN ACCESS. Doi: 10.1590/0103-8478cr20190030
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