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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
08/11/2017 |
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Actualizado : |
28/09/2018 |
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Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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Autor : |
AZZIMONTI, G.; GARCIA, R.; GONZALEZ, N.; DOMENIGUINI, V.; CAROLINA SAINT-PIERRE, C.; SINGH, P.K.; QUINCKE, M.; PEREYRA, S.; GERMAN, S. |
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Afiliación : |
GUSTAVO AZZIMONTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RICHARD ANSELMO GARCIA USUCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NESTOR RICARDO GONZALEZ PEREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; VANESA DOMENIGUINI RIVOIR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAROLINA SAINT-PIERRE, Centro Internacional de Mejoramiento de Maíz y Trigo (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco, México .; PAWAN K. SINGH2, Centro Internacional de Mejoramiento de Maíz y Trigo (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco, México .; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVIA ANTONIA PEREYRA CORREA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVIA ELISA GERMAN FAEDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Field-based phenotyping for wheat diseases within a new multiple diseases platform in Uruguay: promoting germplasm sharing to increase resistance diversity. |
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Complemento del título : |
P 309-Topic: Future of Wheat Improvement in Different Parts of the World. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
In: Buerstmayr, H.; Lang-Mladek, C.; Steiner, B.; Michel, S.; Buerstmayr, M.; Lemmens, M.; Vollmann, J.; Grausgruber, H. (Eds.). Proceedings of the 13th International Wheat Genetics Symposium. Tulln, Austria; April 23-28, 2017. |
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Páginas : |
p.485. |
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Idioma : |
Inglés |
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Contenido : |
Key message: Data from multiple traits obtained in this platform, complemented by molecular selection technologies, would increase the prediction value of phenotype/genotype data for new germplasm emerging from the partners breeding pipelines.
Breeding for durable disease resistance in wheat is a challenging task since it is usually quantitatively inherited, thus relying on the accumulation of QTL involved in resistance. This goal could be achieved by the use of a broad spectrum of resistance sources. Moreover, breeders usually need to test their materials in different abiotic and biotic stress conditions to know their adaptability to diverse environments. In order to improve the quality and speed of wheat breeding, CGIAR-WHEAT Initiative has promoted the establishment of field-based Precision Wheat Phenotyping Platforms (PWPP) accessible to public and private breeding partners. In 2015, a partnership between CGIAR and INIA launched the PWPP-Uruguay to test genotypes for multiple diseases: Fusarium head blight (FHB), Septoria tritici blotch (STB) and leaf rust (LR). These diseases are phenotyped each year in separate field trials. Trials are artificially inoculated with pathogen races identified as representatives of the pathogen regional population. Wheat material is sowed in plots; with susceptible checks every 50 entries. Disease severity and other variables characterizing the disease development are measured in internationally standard scales at dates when the expression of plant resistance is optimal. Disease variables are measured at more than one date, to determine the response of the material to the disease at different moments of the epidemic development. Plant height, heading date, growth stage at disease scoring dates and agronomic score are also measured. In 2016, 1544 genotypes were screened for the three diseases. These materials had diversified origins (ten different institutions, public and private, from six countries) and were of different types: from recent commercialized cultivars to ancient ones, advanced lines, International CIMMYT nurseries, mapping populations or association mapping panels. Disease variables were measured at three dates for all materials, except for FHB trial, with two measurements dates. Genotypes could be selected because of their high level of resistance for each set of material (from each institution) in the FHB, STB and LR trial. A 9% to 25% range of genotypes were found highly resistant when selected only from one disease. From these resistant genotypes, up to 5% were resistant against two diseases and near 2% were resistant to the three diseases screened. Data from multiple traits obtained in this platform, complemented by molecular selection technologies, would increase the precision and prediction value of phenotype/genotype data for new germplasm emerging from the partners breeding pipelines. MenosKey message: Data from multiple traits obtained in this platform, complemented by molecular selection technologies, would increase the prediction value of phenotype/genotype data for new germplasm emerging from the partners breeding pipelines.
Breeding for durable disease resistance in wheat is a challenging task since it is usually quantitatively inherited, thus relying on the accumulation of QTL involved in resistance. This goal could be achieved by the use of a broad spectrum of resistance sources. Moreover, breeders usually need to test their materials in different abiotic and biotic stress conditions to know their adaptability to diverse environments. In order to improve the quality and speed of wheat breeding, CGIAR-WHEAT Initiative has promoted the establishment of field-based Precision Wheat Phenotyping Platforms (PWPP) accessible to public and private breeding partners. In 2015, a partnership between CGIAR and INIA launched the PWPP-Uruguay to test genotypes for multiple diseases: Fusarium head blight (FHB), Septoria tritici blotch (STB) and leaf rust (LR). These diseases are phenotyped each year in separate field trials. Trials are artificially inoculated with pathogen races identified as representatives of the pathogen regional population. Wheat material is sowed in plots; with susceptible checks every 50 entries. Disease severity and other variables characterizing the disease development are measured in internationally standard scales at dates when the expressio... Presentar Todo |
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Palabras claves : |
ENFERMEDADES DE LAS PLANTAS; ENFERMEDADES DEL TRIGO; FENOTIPADO; WHEAT. |
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Thesagro : |
RESISTENCIA; TRIGO; URUGUAY. |
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Asunto categoría : |
H20 Enfermedades de las plantas |
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Marc : |
LEADER 03972nam a2200301 a 4500
001 1057734
005 2018-09-28
008 2017 bl uuuu u01u1 u #d
100 1 $aAZZIMONTI, G.
245 $aField-based phenotyping for wheat diseases within a new multiple diseases platform in Uruguay$bpromoting germplasm sharing to increase resistance diversity.$h[electronic resource]
260 $aIn: Buerstmayr, H.; Lang-Mladek, C.; Steiner, B.; Michel, S.; Buerstmayr, M.; Lemmens, M.; Vollmann, J.; Grausgruber, H. (Eds.). Proceedings of the 13th International Wheat Genetics Symposium. Tulln, Austria; April 23-28$c2017
300 $ap.485.
520 $aKey message: Data from multiple traits obtained in this platform, complemented by molecular selection technologies, would increase the prediction value of phenotype/genotype data for new germplasm emerging from the partners breeding pipelines. Breeding for durable disease resistance in wheat is a challenging task since it is usually quantitatively inherited, thus relying on the accumulation of QTL involved in resistance. This goal could be achieved by the use of a broad spectrum of resistance sources. Moreover, breeders usually need to test their materials in different abiotic and biotic stress conditions to know their adaptability to diverse environments. In order to improve the quality and speed of wheat breeding, CGIAR-WHEAT Initiative has promoted the establishment of field-based Precision Wheat Phenotyping Platforms (PWPP) accessible to public and private breeding partners. In 2015, a partnership between CGIAR and INIA launched the PWPP-Uruguay to test genotypes for multiple diseases: Fusarium head blight (FHB), Septoria tritici blotch (STB) and leaf rust (LR). These diseases are phenotyped each year in separate field trials. Trials are artificially inoculated with pathogen races identified as representatives of the pathogen regional population. Wheat material is sowed in plots; with susceptible checks every 50 entries. Disease severity and other variables characterizing the disease development are measured in internationally standard scales at dates when the expression of plant resistance is optimal. Disease variables are measured at more than one date, to determine the response of the material to the disease at different moments of the epidemic development. Plant height, heading date, growth stage at disease scoring dates and agronomic score are also measured. In 2016, 1544 genotypes were screened for the three diseases. These materials had diversified origins (ten different institutions, public and private, from six countries) and were of different types: from recent commercialized cultivars to ancient ones, advanced lines, International CIMMYT nurseries, mapping populations or association mapping panels. Disease variables were measured at three dates for all materials, except for FHB trial, with two measurements dates. Genotypes could be selected because of their high level of resistance for each set of material (from each institution) in the FHB, STB and LR trial. A 9% to 25% range of genotypes were found highly resistant when selected only from one disease. From these resistant genotypes, up to 5% were resistant against two diseases and near 2% were resistant to the three diseases screened. Data from multiple traits obtained in this platform, complemented by molecular selection technologies, would increase the precision and prediction value of phenotype/genotype data for new germplasm emerging from the partners breeding pipelines.
650 $aRESISTENCIA
650 $aTRIGO
650 $aURUGUAY
653 $aENFERMEDADES DE LAS PLANTAS
653 $aENFERMEDADES DEL TRIGO
653 $aFENOTIPADO
653 $aWHEAT
700 1 $aGARCIA, R.
700 1 $aGONZALEZ, N.
700 1 $aDOMENIGUINI, V.
700 1 $aCAROLINA SAINT-PIERRE, C.
700 1 $aSINGH, P.K.
700 1 $aQUINCKE, M.
700 1 $aPEREYRA, S.
700 1 $aGERMAN, S.
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Registro original : |
INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
18/04/2024 |
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Actualizado : |
25/04/2024 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
PRITSCH, C.; OBERTI, H.; VAIO, M.; BAZ, N.; MANGINO, M.; BERNÁ, L.; ROSSI, F.; RODRÍGUEZ DECUADRO, S.; QUEZADA, M.; GAIERO, P.; PESCE, M.; FILIPPI, C.; GARAYCOCHEA, S.; DINI, M.; GUTIÉRREZ GONZÁLEZ, J.; VARANI, A. |
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Afiliación : |
CLARA PRITSCH, Dpto. Biología Vegetal, Facultad de Agronomía, Udelar; HÉCTOR OBERTI, Dpto. Biología Vegetal, Facultad de Agronomía, Udelar; MAGDALENA VAIO, Dpto. Biología Vegetal, Facultad de Agronomía, Udelar; NATALIE BAZ, Dpto. Biología Vegetal, Facultad de Agronomía, Udelar; MATHIAS MANGINO, Dpto. Biología Vegetal, Facultad de Agronomía, Udelar; LUIS BERNÁ, Depto de Genómica Evolutiva, Facultad de Ciencias, Udelar; FLORENCIA ROSSI, Dpto. Biología Vegetal, Facultad de Agronomía, Udelar; SUSANA RODRÍGUEZ DECUADRO, Dpto. Biología Vegetal, Facultad de Agronomía, Udelar; MARIANELLA QUEZADA, Dpto. Biología Vegetal, Facultad de Agronomía, Udelar; PAOLA GAIERO, Dpto. Biología Vegetal, Facultad de Agronomía, Udelar; MAURICIO PESCE, Dpto. Biología Vegetal, Facultad de Agronomía, Udelar; CARLA FILIPPI, Dpto. Biología Vegetal, Facultad de Agronomía, Udelar; SILVIA RAQUEL GARAYCOCHEA SOLSONA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MAXIMILIANO ANTONIO DINI VIÑOLY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN GUTIÉRREZ GONZÁLEZ, Departamento de Biología Molecular, Universidad de León, España; ALESSANDRO VARANI, Departamento de Biotecnología Agropecuaria y Ambiental, UNESP-FCAV, Brasil. |
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Título : |
Terra Incógnita: conociendo el genoma del guayabo del país. [Presentación oral]. |
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Complemento del título : |
Módulo 1. Recursos genéticos. Presentaciones Orales. |
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Fecha de publicación : |
2024 |
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Fuente / Imprenta : |
In: Dini, M.; Speroni, G. (Eds.). Encuentro Nacional sobre Frutos Nativos, 11°. Universidad Tecnológica (UTEC), Durazno, Uruguay, 4 y 5 abril 2024, Libro de resúmenes. Canelones (UY): INIA, 2024. p.6. |
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Serie : |
(Serie Actividades de Difusión; 804) |
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ISSN : |
1688-9258 |
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Idioma : |
Español |
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Notas : |
Agradecimientos: A la Comisión Sectorial de Investigación Científica, Udelar por la financiación. |
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Contenido : |
Acca sellowiana (Myrtaceae) o "guayabo del país" (2n=2x=22) es una especie frutal nativa con alto valor patrimonial en Uruguay. Este estudio se enfocó a construir por primera vez en Uruguay, el genoma de referencia, a escala cromosómica de un árbol nativo. |
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Palabras claves : |
ÁREA MEJORAMIENTO GENÉTICO Y BIOTECNOLOGÍA VEGETAL - INIA; Cloroplasto; GENOMA; Mitocondria; Repetidos; SISTEMA VEGETAL INTENSIVO - INIA. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/17627/1/SAD804-Frutos-Nativos-PO5.pdf
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Marc : |
LEADER 01636nam a2200397 a 4500
001 1064602
005 2024-04-25
008 2024 bl uuuu u01u1 u #d
022 $a1688-9258
100 1 $aPRITSCH, C.
245 $aTerra Incógnita$bconociendo el genoma del guayabo del país. [Presentación oral].$h[electronic resource]
260 $aIn: Dini, M.; Speroni, G. (Eds.). Encuentro Nacional sobre Frutos Nativos, 11°. Universidad Tecnológica (UTEC), Durazno, Uruguay, 4 y 5 abril 2024, Libro de resúmenes. Canelones (UY): INIA, 2024. p.6.$c2024
490 $a(Serie Actividades de Difusión; 804)
500 $aAgradecimientos: A la Comisión Sectorial de Investigación Científica, Udelar por la financiación.
520 $aAcca sellowiana (Myrtaceae) o "guayabo del país" (2n=2x=22) es una especie frutal nativa con alto valor patrimonial en Uruguay. Este estudio se enfocó a construir por primera vez en Uruguay, el genoma de referencia, a escala cromosómica de un árbol nativo.
653 $aÁREA MEJORAMIENTO GENÉTICO Y BIOTECNOLOGÍA VEGETAL - INIA
653 $aCloroplasto
653 $aGENOMA
653 $aMitocondria
653 $aRepetidos
653 $aSISTEMA VEGETAL INTENSIVO - INIA
700 1 $aOBERTI, H.
700 1 $aVAIO, M.
700 1 $aBAZ, N.
700 1 $aMANGINO, M.
700 1 $aBERNÁ, L.
700 1 $aROSSI, F.
700 1 $aRODRÍGUEZ DECUADRO, S.
700 1 $aQUEZADA, M.
700 1 $aGAIERO, P.
700 1 $aPESCE, M.
700 1 $aFILIPPI, C.
700 1 $aGARAYCOCHEA, S.
700 1 $aDINI, M.
700 1 $aGUTIÉRREZ GONZÁLEZ, J.
700 1 $aVARANI, A.
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