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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
21/02/2014 |
Actualizado : |
24/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
ROSSI, C.; CUESTA-MARCOS, A.; GOMEZ-PANDO, L.; ORJEDA, G.; WISE, R.; SATO, K.; HORI, K.; CAPETTINI, F.; VIVAR, H.; CHEN, X.; HAYES, P. |
Afiliación : |
CARLOS ALBERTO ROSSI RODRIGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./Department of Crop and Soil Science Oregon State University Corvallis USA.; A. CUESTA-MARCOS, Estación Experimental de Aula Dei (CSIC)Zaragoza, España.; L. GOMEZ-PANDO, University of Nacional Agraria La Molina Lima, Perú.; G. ORJEDA, Universidad Peruana Cayetano Heredia Lima, Peru.; Corn Insects and Crop Genetics Research, USDA-ARS & Department of Plant Pathology Iowa State University Ames, USA.; Research Institute for Bioresources Okayama University Kurashiki, Japan.; Research Institute for Bioresources Okayama University Kurashiki, Japan.; FLAVIO CAPETTINI, ICARDA/CIMMYT El Batan, Mexico.; ICARDA/CIMMYT El Batan, Mexico.; USDA/ARS Pullman, USA,; Department of Crop and Soil Science Oregon State University Corvallis USA. |
Título : |
Mapping multiple disease resistance genes using a barley mapping population evaluated in Peru, Mexico, and the USA. |
Fecha de publicación : |
2006 |
Fuente / Imprenta : |
Molecular Breeding, November 2006, Volume 18, Issue 4, Pages 355-366. |
DOI : |
10.1007/s11032-006-9043-0 |
Idioma : |
Inglés |
Notas : |
Article history: Received: 14 April 2006 / Accepted: 24 August 2006. |
Contenido : |
Abstract: We used a well-characterized barley mapping population (BCD 47 x Baronesse) to determine if barley stripe rust (BSR) resistance quantitative trait loci (QTL) mapped in Mexico and the USA were effective against a reported new race in Peru. Essentially the same resistance QTL were detected using data from each of the three environments, indicating that these resistance alleles are effective against the spectrum of naturally occurring races at these sites. In addition to the mapping population, we evaluated a germplasm array consisting of lines with different numbers of mapped BSR resistance alleles. A higher BSR disease severity on CI10587, which has a single qualitative resistance gene, in Peru versus Mexico suggests there are differences in pathogen virulence between the two locations. Confirmation of a new race in Peru will require characterization using a standard set of differentials, an experiment that is underway. The highest levels of resistance in Peru were observed when the qualitative resistance gene was pyramided with quantitative resistance alleles. We also used the mapping population to locate QTL conferring resistance to barley leaf rust and barley powdery mildew. For mildew, we identified resistance QTL under field conditions in Peru that are distinct from the Mla resistance that we mapped using specific isolates under controlled conditions. These results demonstrate the long-term utility of a reference mapping population and a well-characterized germplasm array for locating and validating genes conferring quantitative and qualitative resistance to multiple pathogen. MenosAbstract: We used a well-characterized barley mapping population (BCD 47 x Baronesse) to determine if barley stripe rust (BSR) resistance quantitative trait loci (QTL) mapped in Mexico and the USA were effective against a reported new race in Peru. Essentially the same resistance QTL were detected using data from each of the three environments, indicating that these resistance alleles are effective against the spectrum of naturally occurring races at these sites. In addition to the mapping population, we evaluated a germplasm array consisting of lines with different numbers of mapped BSR resistance alleles. A higher BSR disease severity on CI10587, which has a single qualitative resistance gene, in Peru versus Mexico suggests there are differences in pathogen virulence between the two locations. Confirmation of a new race in Peru will require characterization using a standard set of differentials, an experiment that is underway. The highest levels of resistance in Peru were observed when the qualitative resistance gene was pyramided with quantitative resistance alleles. We also used the mapping population to locate QTL conferring resistance to barley leaf rust and barley powdery mildew. For mildew, we identified resistance QTL under field conditions in Peru that are distinct from the Mla resistance that we mapped using specific isolates under controlled conditions. These results demonstrate the long-term utility of a reference mapping population and a well-characterized germ... Presentar Todo |
Palabras claves : |
BLUMERIA GRAMINIS F. SP. HORDEI; HORDEUM VULGARE SUBSP. VULGARE; MAPEO DE CEBADA; PUCCINIA HORDEI; PUCCINIA STRIIFORMIS F. SP. HORDEI; QUALITATIVE RESISTANCE; QUANTITATIVE RESISTANCE; RESISTENCIA ROYA EN CEBADA. |
Thesagro : |
CEBADA. |
Asunto categoría : |
H20 Enfermedades de las plantas |
Marc : |
LEADER 02783naa a2200373 a 4500 001 1049597 005 2019-10-24 008 2006 bl uuuu u00u1 u #d 024 7 $a10.1007/s11032-006-9043-0$2DOI 100 1 $aROSSI, C. 245 $aMapping multiple disease resistance genes using a barley mapping population evaluated in Peru, Mexico, and the USA. 260 $c2006 500 $aArticle history: Received: 14 April 2006 / Accepted: 24 August 2006. 520 $aAbstract: We used a well-characterized barley mapping population (BCD 47 x Baronesse) to determine if barley stripe rust (BSR) resistance quantitative trait loci (QTL) mapped in Mexico and the USA were effective against a reported new race in Peru. Essentially the same resistance QTL were detected using data from each of the three environments, indicating that these resistance alleles are effective against the spectrum of naturally occurring races at these sites. In addition to the mapping population, we evaluated a germplasm array consisting of lines with different numbers of mapped BSR resistance alleles. A higher BSR disease severity on CI10587, which has a single qualitative resistance gene, in Peru versus Mexico suggests there are differences in pathogen virulence between the two locations. Confirmation of a new race in Peru will require characterization using a standard set of differentials, an experiment that is underway. The highest levels of resistance in Peru were observed when the qualitative resistance gene was pyramided with quantitative resistance alleles. We also used the mapping population to locate QTL conferring resistance to barley leaf rust and barley powdery mildew. For mildew, we identified resistance QTL under field conditions in Peru that are distinct from the Mla resistance that we mapped using specific isolates under controlled conditions. These results demonstrate the long-term utility of a reference mapping population and a well-characterized germplasm array for locating and validating genes conferring quantitative and qualitative resistance to multiple pathogen. 650 $aCEBADA 653 $aBLUMERIA GRAMINIS F. SP. HORDEI 653 $aHORDEUM VULGARE SUBSP. VULGARE 653 $aMAPEO DE CEBADA 653 $aPUCCINIA HORDEI 653 $aPUCCINIA STRIIFORMIS F. SP. HORDEI 653 $aQUALITATIVE RESISTANCE 653 $aQUANTITATIVE RESISTANCE 653 $aRESISTENCIA ROYA EN CEBADA 700 1 $aCUESTA-MARCOS, A. 700 1 $aGOMEZ-PANDO, L. 700 1 $aORJEDA, G. 700 1 $aWISE, R. 700 1 $aSATO, K. 700 1 $aHORI, K. 700 1 $aCAPETTINI, F. 700 1 $aVIVAR, H. 700 1 $aCHEN, X. 700 1 $aHAYES, P. 773 $tMolecular Breeding, November 2006, Volume 18, Issue 4, Pages 355-366.
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
11/05/2022 |
Actualizado : |
11/05/2022 |
Tipo de producción científica : |
Informes Agroclimáticos |
Autor : |
INIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA); GRAS |
Afiliación : |
UNIDAD DE AGROCLIMA Y SISTEMAS DE INFORMACIÓN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Informe agroclimático 2022- Situación a Abril. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
Montevideo (UY): INIA, 2022. |
Páginas : |
6 p. |
Serie : |
(Informe Agroclimático; Año 17, No.4) |
Idioma : |
Español |
Notas : |
Equipo de trabajo INIA-GRAS (Unidad de Agtech y sistemas de Información): Adrián Cal, Guadalupe Tiscornia, Carlos Schiavi, Gabriel García. |
Contenido : |
Contenido. Síntesis de la Situación Agroclimática de Abril-- Perspectivas Climáticas Trimestrales elaboradas por el IRI de la Universidad de Columbia (Más información puede encontrarse en el sitio del IRI: http://www.iri.columbia.edu) -- Índice de Vegetación (NDVI) -- Precipitaciones -- Porcentaje de Agua Disponible (PAD) -- Agua No Retenida (ANR) -- Índice de Bienestar Hídrico (IBH) -- Perspectivas Climáticas May-Jun-Jul elaboradas por el IRI de la Universidad de Columbia. Destacamos para este mes: Previsión de temperaturas mínimas. Mapas a nivel nacional mostrando una estimación a 3 días de la temperatura mínima a nivel de superficie, así como temperatura
mínima del aire (a 2mts. de altura). Link directo: http://www.inia.uy/gras/Alertas-y-herramientas/Prevision-de-Temperatura-Minima |
Palabras claves : |
AGTECH; BOLETIN AGROCLIMÁTICO; CARACTERIZACIÓN AGROCLIMÁTICA; DIRECCION VIENTO; ESTACIONES AGROMETEOROLOGICAS; ESTACIONES AUTOMATICAS; ESTACIONES INIA; ESTADO DEL TIEMPO; GRAFICAS AGROCLIMATICAS; GRAS; INFORMACION SATELITAL; INFORME AGROCLIMÁTICO 2022; INUNDACIONES; LLUVIAS DIARIAS; MAXIMA; MEDIA; MINIMA; PANEL SOLAR; PERSPECTIVAS CLIMATICAS; PLUVIOMETRO; PRECIPITACION NACIONAL; PREVENCION HELADAS; PRONOSTICO; SENSOR; TANQUE A;; TERMOCUPLAS; TERMOHIDROGRAFO; VARIABLES AGROCLIMATICAS; VELETA. |
Thesagro : |
AGROCLIMATOLOGIA; CAMBIO CLIMÁTICO; CLIMA; CLIMATOLOGIA; ESTACIONES METEOROLOGICAS; ESTRES HIDRICO; EVAPOTRANSPIRACION; HUMEDAD; HUMEDAD RELATIVA; LLUVIA; METEOROLOGIA; PERSPECTIVAS; PLUVIOMETROS; PRONOSTICO DEL TIEMPO; SENSORES; SISTEMAS; SISTEMAS DE INFORMACION; SISTEMAS DE INFORMACION GEOGRAFICOS; TEMPERATURA; TERMOMETROS. |
Asunto categoría : |
P40 Meteorología y climatología |
URL : |
http://www.inia.uy/Publicaciones/Documentos%20compartidos/Informe%20agroclimatico%20INIA-GRAS%20Abril%20de%202022.pdf
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Marc : |
LEADER 02978nam a2200745 a 4500 001 1063122 005 2022-05-11 008 2022 bl uuuu u0uu1 u #d 100 1 $aINIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA) 245 $aInforme agroclimático 2022- Situación a Abril.$h[electronic resource] 260 $aMontevideo (UY): INIA$c2022 300 $a6 p. 490 $a(Informe Agroclimático; Año 17, No.4) 500 $aEquipo de trabajo INIA-GRAS (Unidad de Agtech y sistemas de Información): Adrián Cal, Guadalupe Tiscornia, Carlos Schiavi, Gabriel García. 520 $aContenido. Síntesis de la Situación Agroclimática de Abril-- Perspectivas Climáticas Trimestrales elaboradas por el IRI de la Universidad de Columbia (Más información puede encontrarse en el sitio del IRI: http://www.iri.columbia.edu) -- Índice de Vegetación (NDVI) -- Precipitaciones -- Porcentaje de Agua Disponible (PAD) -- Agua No Retenida (ANR) -- Índice de Bienestar Hídrico (IBH) -- Perspectivas Climáticas May-Jun-Jul elaboradas por el IRI de la Universidad de Columbia. Destacamos para este mes: Previsión de temperaturas mínimas. Mapas a nivel nacional mostrando una estimación a 3 días de la temperatura mínima a nivel de superficie, así como temperatura mínima del aire (a 2mts. de altura). Link directo: http://www.inia.uy/gras/Alertas-y-herramientas/Prevision-de-Temperatura-Minima 650 $aAGROCLIMATOLOGIA 650 $aCAMBIO CLIMÁTICO 650 $aCLIMA 650 $aCLIMATOLOGIA 650 $aESTACIONES METEOROLOGICAS 650 $aESTRES HIDRICO 650 $aEVAPOTRANSPIRACION 650 $aHUMEDAD 650 $aHUMEDAD RELATIVA 650 $aLLUVIA 650 $aMETEOROLOGIA 650 $aPERSPECTIVAS 650 $aPLUVIOMETROS 650 $aPRONOSTICO DEL TIEMPO 650 $aSENSORES 650 $aSISTEMAS 650 $aSISTEMAS DE INFORMACION 650 $aSISTEMAS DE INFORMACION GEOGRAFICOS 650 $aTEMPERATURA 650 $aTERMOMETROS 653 $aAGTECH 653 $aBOLETIN AGROCLIMÁTICO 653 $aCARACTERIZACIÓN AGROCLIMÁTICA 653 $aDIRECCION VIENTO 653 $aESTACIONES AGROMETEOROLOGICAS 653 $aESTACIONES AUTOMATICAS 653 $aESTACIONES INIA 653 $aESTADO DEL TIEMPO 653 $aGRAFICAS AGROCLIMATICAS 653 $aGRAS 653 $aINFORMACION SATELITAL 653 $aINFORME AGROCLIMÁTICO 2022 653 $aINUNDACIONES 653 $aLLUVIAS DIARIAS 653 $aMAXIMA 653 $aMEDIA 653 $aMINIMA 653 $aPANEL SOLAR 653 $aPERSPECTIVAS CLIMATICAS 653 $aPLUVIOMETRO 653 $aPRECIPITACION NACIONAL 653 $aPREVENCION HELADAS 653 $aPRONOSTICO 653 $aSENSOR 653 $aTANQUE A; 653 $aTERMOCUPLAS 653 $aTERMOHIDROGRAFO 653 $aVARIABLES AGROCLIMATICAS 653 $aVELETA 700 1 $aGRAS
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