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Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy.
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Biblioteca (s) :  INIA Las Brujas.
Fecha :  22/02/2021
Actualizado :  22/02/2021
Tipo de producción científica :  Artículos en Revistas Indexadas Internacionales
Autor :  ZOPPOLO, R.; RODRIGUEZ, P.; UBERTI, A.; SANTANA, A. S.; CONIBERTI, A.; CABRERA, D.
Afiliación :  ROBERTO JOSE ZOPPOLO GOLDSCHMIDT, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PABLO ANDRES RODRIGUEZ BRUNO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; A. UBERTI, Universidad Federal da Fronteira Sul - UFFS, Chapeco?, Brazil; A. S. SANTANA, Universidad Federal da Fronteira Sul - UFFS, Chapeco?, Brazil; ANDRES CONIBERTI MUNDY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS DANILO CABRERA BOLOGNA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.
Título :  Influence of climatic factors on productivity of 'Williams' pear trees on different rootstocks. [Conference paper].
Fecha de publicación :  2021
Fuente / Imprenta :  Acta Horticulturae, February 2021, N°1303, p. 251-258. DOI: https://doi.org/10.17660/ActaHortic.2021.1303.36
ISSN :  0567-7572 (print); 2406-6168 (electronic)
DOI :  10.17660/ActaHortic.2021.1303.36
Idioma :  Inglés
Notas :  Article history: Published 5 February 2021. In: Acta Horticulturae (ISHS) 1303: XIII International Pear Symposium, Montevideo, Uruguay. Conveners: Roberto Zoppolo, Danilo Cabrera. Editors: Roberto Zoppolo, Danilo Cabrera, D. Granatstein.
Contenido :  Abstract: Pear (Pyrus communis) is reasonably well-adapted to the average climatic conditions of southern Uruguay, but the climatic variables are not always agreeable for satisfactory production. The objective of this research was to evaluate the impact of climatic factors, on yield components (average fruit weight and productivity) of 'Williams' pears on two different rootstocks ('OH×F40' and 'BA29'). The experiment was established in July 2003 at Instituto Nacional de Investigación Agropecuaria - INIA Las Brujas (34°67?S; 56°37?W). According to Köppen-Geiger classification, the climate of the studied region is ?Cfa? and the soil type is a Typic Argiudoll. To analyze the contribution of climatic factors on productivity of pear trees, a principal component analysis (PCA) was applied using the statistical software R. The correlations between yield components and precipitation, cold units, chill hours (≤7.2°C), relative humidity, evapotranspiration and average temperature were studied from the growing season 2014/15 until 2017/18. Climatic data were collected from the meteorological station at INIA Las Brujas, located less than 500 m from the trial plot. Climatic factors had a more significant effect on 'Williams' productivity than the rootstock factor. One main factor affecting seasonal productivity was chill hours. The average productivity values for the two rootstocks during the cycles 2015/16 and 2017/18 was zero and 7.2 t ha‑1, respectively. During the seasons... Presentar Todo
Palabras claves :  ALTERNATE BEARING; PCA - PRINCIPAL COMPONENT ANALYSIS; PRECIPITATION.
Thesagro :  PYRUS COMMUNIS.
Asunto categoría :  F30 Genética vegetal y fitomejoramiento
Marc :  Presentar Marc Completo
Registro original :  INIA Las Brujas (LB)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LB102492 - 1PXIAP - DDPP/ACTA HORTICULTURAE/2021/1303

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Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy.
Registro completo
Biblioteca (s) :  INIA Las Brujas.
Fecha actual :  01/11/2021
Actualizado :  01/11/2021
Tipo de producción científica :  Capítulo en Libro Técnico-Científico
Autor :  FERREIRA, V.; GONZÁLEZ-ARCOS, M.; PIANZZOLA, M.J.; COLL, N.S.; SIRI, M.I.; VALLS, M.
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.
Título :  Molecular detection of Ralstonia solanacearum to facilitate breeding for resistance to bacterial wilt in potato.
Fecha de publicación :  2021
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
Serie :  eBook Packages Springer Protocols, (Methods in Molecular Biology, volume 2354).
ISBN :  978-1-0716-1608-6 (print) / 978-1-0716-1609-3 (e-book)
ISSN :  1064-3745 (print) / 1940-6029 (electronic)
DOI :  10.1007/978-1-0716-1609-3_18
Idioma :  Inglés
Notas :  Article history: First Online 27 August 2021.
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.
Palabras claves :  Bacterial wilt; Disease resistance; Plant breeding; Potato brown rot; Ralstonia solanacearum; Solanum tuberosum.
Asunto categoría :  F30 Genética vegetal y fitomejoramiento
Marc :  Presentar Marc Completo
Registro original :  INIA Las Brujas (LB)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LB102827 - 1PXIPL - DDMethods in Molecular Biology/2354/2021
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