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 | Acceso al texto completo restringido a Biblioteca INIA Tacuarembó. Por información adicional contacte bibliotb@tb.inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas; INIA Tacuarembó. |
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Fecha : |
28/06/2017 |
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Actualizado : |
13/11/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
ALBICETTE, M.M.; LEONI, C.; RUGGIA, A.; SCARLATO, S.; BLUMETTO, O.; ALBIN, A.; AGUERRE, V. |
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Afiliación : |
MARIA MARTA ALBICETTE BASTRERI, 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 SCARLATO GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OSCAR RICARDO BLUMETTO VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALFREDO SANTIAGO ALBIN FERREIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA VERONICA AGUERRE ANTIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Co-innovation in family-farming livestock systems in Rocha, Uruguay: A 3-year learning process. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
Outlook in Agriculture, 2017, v.46 (2): 92-98. |
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ISSN : |
0030-7270 / eISSN: 2043-6866 |
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DOI : |
10.1177/0030727017707407 |
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Idioma : |
Inglés |
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Notas : |
Article history: Article first published online: June 8, 2017 / Issue published: June 1, 2017.
Special issue: Co-innovation in agricultural settings. Guest Editor : Neels Botha , James A Turner , Simon Fielke , and Laurens Klerkx. |
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Contenido : |
ABSTRACT.
There are opportunities to improve livestock family farms (LFFs) sustainability in Uruguay by using the co-innovation approach to change management practices and incorporate technologies. To harness these opportunities, between 2012 and 2015, a research project was implemented in Eastern Uruguay, where three simultaneous processes occurred at three levels: farm, region, and research team. At farm level, the work was carried out in seven LFF as case studies following three steps: (i) characterization and diagnosis; (ii) redesign; and (iii) implementation, monitoring, and evaluation. At the regional level, a participatory approach to planning, monitoring, and evaluating the project?s progress with regional stakeholders was adopted. At the team level, a Participatory Action Research approach was used. Consensus on the objectives and methods allowed for combined knowledge to solve practice-oriented problems. The 3-year project demonstrated the effectiveness in improving LFF sustainability, opened a learning space with stakeholders, and utilized a co-innovation model to improve rural development outcomes.
@The Authors, 2017. |
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Palabras claves : |
CO-INNOVACIÓN; CO-INNOVATION; MESMIS; MONITORING AND EVALUATION; PAR; PIPA; SYSTEMIC APPROACH. |
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Thesagro : |
PRODUCCION FAMILIAR; SISTEMAS DE EXPLOTACION. |
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Asunto categoría : |
--
A50 Investigación agraria |
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Marc : |
LEADER 02319naa a2200337 a 4500
001 1060415
005 2019-11-13
008 2017 bl uuuu u00u1 u #d
022 $a0030-7270 / eISSN: 2043-6866
024 7 $a10.1177/0030727017707407$2DOI
100 1 $aALBICETTE, M.M.
245 $aCo-innovation in family-farming livestock systems in Rocha, Uruguay$bA 3-year learning process.$h[electronic resource]
260 $c2017
500 $aArticle history: Article first published online: June 8, 2017 / Issue published: June 1, 2017. Special issue: Co-innovation in agricultural settings. Guest Editor : Neels Botha , James A Turner , Simon Fielke , and Laurens Klerkx.
520 $aABSTRACT. There are opportunities to improve livestock family farms (LFFs) sustainability in Uruguay by using the co-innovation approach to change management practices and incorporate technologies. To harness these opportunities, between 2012 and 2015, a research project was implemented in Eastern Uruguay, where three simultaneous processes occurred at three levels: farm, region, and research team. At farm level, the work was carried out in seven LFF as case studies following three steps: (i) characterization and diagnosis; (ii) redesign; and (iii) implementation, monitoring, and evaluation. At the regional level, a participatory approach to planning, monitoring, and evaluating the project?s progress with regional stakeholders was adopted. At the team level, a Participatory Action Research approach was used. Consensus on the objectives and methods allowed for combined knowledge to solve practice-oriented problems. The 3-year project demonstrated the effectiveness in improving LFF sustainability, opened a learning space with stakeholders, and utilized a co-innovation model to improve rural development outcomes. @The Authors, 2017.
650 $aPRODUCCION FAMILIAR
650 $aSISTEMAS DE EXPLOTACION
653 $aCO-INNOVACIÓN
653 $aCO-INNOVATION
653 $aMESMIS
653 $aMONITORING AND EVALUATION
653 $aPAR
653 $aPIPA
653 $aSYSTEMIC APPROACH
700 1 $aLEONI, C.
700 1 $aRUGGIA, A.
700 1 $aSCARLATO, S.
700 1 $aBLUMETTO, O.
700 1 $aALBIN, A.
700 1 $aAGUERRE, V.
773 $tOutlook in Agriculture, 2017$gv.46 (2): 92-98.
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INIA Tacuarembó (TBO) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
01/11/2021 |
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Actualizado : |
01/11/2021 |
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Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
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Autor : |
FERREIRA, V.; GONZÁLEZ-ARCOS, M.; PIANZZOLA, M.J.; COLL, N.S.; SIRI, M.I.; VALLS, M. |
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Afiliación : |
VIRGINIA FERREIRA, Área Microbiología, Departamento de Biociencias (DEPBIO), Facultad de Química, Universidad de la República, Montevideo, Uruguay; MATIAS GONZÁLEZ-ARCOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARÍA JULIA PIANZZOLA, Área Microbiología, Departamento de Biociencias (DEPBIO), Facultad de Química, Universidad de la República, Montevideo, Uruguay; NÚRIA S. COLL, Centre for Research in Agricultural Genomics (CSIC-IRTA-UAB-UB), Bellaterra, Catalonia, Spain; MARÍA INÉS SIRI, Área Microbiología, Departamento de Biociencias (DEPBIO), Facultad de Química, Universidad de la República, Montevideo, Uruguay; MARC VALLS, Centre for Research in Agricultural Genomics (CSIC-IRTA-UAB-UB), Bellaterra, Catalonia, Spain; Department of Genetics, University of Barcelona, Bellaterra, Catalonia, Spain. |
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Título : |
Molecular detection of Ralstonia solanacearum to facilitate breeding for resistance to bacterial wilt in potato. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
In: Dobnik D., Gruden K., Ram?ak ?., Coll A. (eds). Solanum tuberosum. Methods in Molecular Biology, 2021, vol 2354. Humana, New York, NY. doi: https://doi.org/10.1007/978-1-0716-1609-3_18 |
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Serie : |
eBook Packages Springer Protocols, (Methods in Molecular Biology, volume 2354). |
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ISBN : |
978-1-0716-1608-6 (print) / 978-1-0716-1609-3 (e-book) |
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ISSN : |
1064-3745 (print) / 1940-6029 (electronic) |
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DOI : |
10.1007/978-1-0716-1609-3_18 |
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Idioma : |
Inglés |
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Notas : |
Article history: First Online 27 August 2021. |
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Contenido : |
ABSTRACT. - Potato bacterial wilt is caused by the devastating bacterial pathogen Ralstonia solanacearum. Quantitative resistance to this disease has been and is currently introgressed from a number of wild relatives into cultivated varieties through laborious breeding programs. Here, we present two methods that we have developed to facilitate the screening for resistance to bacterial wilt in potato. The first one uses R. solanacearum reporter strains constitutively expressing the luxCDABE operon or the green fluorescent protein (gfp) to follow pathogen colonization in potato germplasm. Luminescent strains are used for nondestructive live imaging, while fluorescent ones enable precise pathogen visualization inside the plant tissues through confocal microscopy. The second method is a BIO-multiplex-PCR assay that is useful for sensitive and specific detection of viable R. solanacearum (IIB-1) cells in latently infected potato plants. This BIO-multiplex-PCR assay can specifically detect IIB-1 sequevar strains as well as strains belonging to all four R. solanacearum phylotypes and is sensitive enough to detect without DNA extraction ten bacterial cells per mL in complex samples. The described methods allow the detection of latent infections in roots and stems of asymptomatic plants and were shown to be efficient tools to assist potato breeding programs. © 2021, Springer Science+Business Media, LLC, part of Springer Nature. |
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Palabras claves : |
Bacterial wilt; Disease resistance; Plant breeding; Potato brown rot; Ralstonia solanacearum; Solanum tuberosum. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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Marc : |
LEADER 02607naa a2200301 a 4500
001 1062509
005 2021-11-01
008 2021 bl uuuu u00u1 u #d
022 $a1064-3745 (print) / 1940-6029 (electronic)
024 7 $a10.1007/978-1-0716-1609-3_18$2DOI
100 1 $aFERREIRA, V.
245 $aMolecular detection of Ralstonia solanacearum to facilitate breeding for resistance to bacterial wilt in potato.$h[electronic resource]
260 $c2021
490 $aeBook Packages Springer Protocols, (Methods in Molecular Biology, volume 2354).
500 $aArticle history: First Online 27 August 2021.
520 $aABSTRACT. - Potato bacterial wilt is caused by the devastating bacterial pathogen Ralstonia solanacearum. Quantitative resistance to this disease has been and is currently introgressed from a number of wild relatives into cultivated varieties through laborious breeding programs. Here, we present two methods that we have developed to facilitate the screening for resistance to bacterial wilt in potato. The first one uses R. solanacearum reporter strains constitutively expressing the luxCDABE operon or the green fluorescent protein (gfp) to follow pathogen colonization in potato germplasm. Luminescent strains are used for nondestructive live imaging, while fluorescent ones enable precise pathogen visualization inside the plant tissues through confocal microscopy. The second method is a BIO-multiplex-PCR assay that is useful for sensitive and specific detection of viable R. solanacearum (IIB-1) cells in latently infected potato plants. This BIO-multiplex-PCR assay can specifically detect IIB-1 sequevar strains as well as strains belonging to all four R. solanacearum phylotypes and is sensitive enough to detect without DNA extraction ten bacterial cells per mL in complex samples. The described methods allow the detection of latent infections in roots and stems of asymptomatic plants and were shown to be efficient tools to assist potato breeding programs. © 2021, Springer Science+Business Media, LLC, part of Springer Nature.
653 $aBacterial wilt
653 $aDisease resistance
653 $aPlant breeding
653 $aPotato brown rot
653 $aRalstonia solanacearum
653 $aSolanum tuberosum
700 1 $aGONZÁLEZ-ARCOS, M.
700 1 $aPIANZZOLA, M.J.
700 1 $aCOLL, N.S.
700 1 $aSIRI, M.I.
700 1 $aVALLS, M.
773 $tIn: Dobnik D., Gruden K., Ram?ak ?., Coll A. (eds). Solanum tuberosum. Methods in Molecular Biology, 2021, vol 2354. Humana, New York, NY. doi: https://doi.org/10.1007/978-1-0716-1609-3_18
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