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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 Las Brujas. |
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Fecha actual : |
26/04/2023 |
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Actualizado : |
26/04/2023 |
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Tipo de producción científica : |
Artículos Indexados |
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Autor : |
REBOLLO, I.; SCHEFFEL, S.; BLANCO, P.H.; MOLINA, F.; MARTÍNEZ, S.; CARRACELAS, G.; PÉREZ DE VIDA, F.; ROSAS, J.E. |
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Afiliación : |
MARÍA INÉS REBOLLO PANUNCIO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SHEILA SCHEFFEL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PEDRO HORACIO BLANCO BARRAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FEDERICO MOLINA CASELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SEBASTIÁN MARTÍNEZ KOPP, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JULIO GONZALO CARRACELAS GARRIDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO BLAS PEREZ DE VIDA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN EDUARDO ROSAS CAISSIOLS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Instituto Nacional de Investigación Agropecuaria (INIA) Rice Breeding Program Historical Dataset. [Dataset]. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
DRYAD Dataset, 2024. https://doi.org/10.5061/dryad.x69p8czn8 |
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DOI : |
10.5061/dryad.x69p8czn8 |
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Idioma : |
Inglés |
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Notas : |
Correspondence author: Juan E. Rosas, email: jrosas@inia.org.uy -- Publication date: February 16, 2024. -- This dataset is embargoed and will be released when the associated article is published. Lists of files and downloads will become available to the public when released. -- FUNDING: Agencia Nacional de Investigación e Innovación, Award: FSDA_1_2018_1_154120; Instituto Nacional de Investigación Agropecuaria, Award: AZ13; Instituto Nacional de Investigación Agropecuaria, Award: AZ35. |
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Contenido : |
Breeding programs generate vast amounts of data which are often scattered in separate files. This hinders the application of modern breeding tools such as multi-environment analyses and genomic selection. This dataset is the result of consolidating 23 years of phenotypic, pedigree, and genomic records from the Uruguayan national rice breeding program. All the available data from 1997 to 2020 corresponding to field trials, blast nurseries, laboratory analyses of milling and cooking quality, pedigree information, and genomic information for selected advanced breeding lines are gathered. Records of 996 trials in 12 locations over a span of 23 years, 91,636 field plots with information on 14 phenotypic variables, pedigree for 19,447 genotypes, and genomic information regarding 61,260 SNP markers for 965 genotypes were recovered. The dataset is structured in Trials, Phenotypes, Lines, Genomic Information, and SNP Tables. Genotype identification has been coded. Copyright (c) 2023 Dryad |
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Palabras claves : |
Agricultural sciences; Agronomic performance; Breeding trials; Disease phenotype; Genotypic data; Genotyping by sequencing (GBS); Grain yield; Phenotypic data; Rice Breeding Program; SNP; Temperate region. |
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Thesagro : |
ORYZA SATIVA L; URUGUAY. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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URL : |
https://datadryad.org/stash/dataset/doi:10.5061/dryad.x69p8czn8
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Marc : |
LEADER 02599naa a2200385 a 4500
001 1064058
005 2023-04-26
008 2023 bl uuuu u00u1 u #d
024 7 $a10.5061/dryad.x69p8czn8$2DOI
100 1 $aREBOLLO, I.
245 $aInstituto Nacional de Investigación Agropecuaria (INIA) Rice Breeding Program Historical Dataset. [Dataset].$h[electronic resource]
260 $c2023
500 $aCorrespondence author: Juan E. Rosas, email: jrosas@inia.org.uy -- Publication date: February 16, 2024. -- This dataset is embargoed and will be released when the associated article is published. Lists of files and downloads will become available to the public when released. -- FUNDING: Agencia Nacional de Investigación e Innovación, Award: FSDA_1_2018_1_154120; Instituto Nacional de Investigación Agropecuaria, Award: AZ13; Instituto Nacional de Investigación Agropecuaria, Award: AZ35.
520 $aBreeding programs generate vast amounts of data which are often scattered in separate files. This hinders the application of modern breeding tools such as multi-environment analyses and genomic selection. This dataset is the result of consolidating 23 years of phenotypic, pedigree, and genomic records from the Uruguayan national rice breeding program. All the available data from 1997 to 2020 corresponding to field trials, blast nurseries, laboratory analyses of milling and cooking quality, pedigree information, and genomic information for selected advanced breeding lines are gathered. Records of 996 trials in 12 locations over a span of 23 years, 91,636 field plots with information on 14 phenotypic variables, pedigree for 19,447 genotypes, and genomic information regarding 61,260 SNP markers for 965 genotypes were recovered. The dataset is structured in Trials, Phenotypes, Lines, Genomic Information, and SNP Tables. Genotype identification has been coded. Copyright (c) 2023 Dryad
650 $aORYZA SATIVA L
650 $aURUGUAY
653 $aAgricultural sciences
653 $aAgronomic performance
653 $aBreeding trials
653 $aDisease phenotype
653 $aGenotypic data
653 $aGenotyping by sequencing (GBS)
653 $aGrain yield
653 $aPhenotypic data
653 $aRice Breeding Program
653 $aSNP
653 $aTemperate region
700 1 $aSCHEFFEL, S.
700 1 $aBLANCO, P.H.
700 1 $aMOLINA, F.
700 1 $aMARTÍNEZ, S.
700 1 $aCARRACELAS, G.
700 1 $aPÉREZ DE VIDA, F.
700 1 $aROSAS, J.E.
773 $tDRYAD Dataset, 2024. https://doi.org/10.5061/dryad.x69p8czn8
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