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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
18/12/2017 |
Actualizado : |
04/11/2021 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
ROSAS, J.E.; MARTÍNEZ, S.; BLANCO, P.H.; PÉREZ DE VIDA, F.; BONNECARRERE, V.; MOSQUERA, G.; CRUZ, M.; GARAYCOCHEA, S.; MONTEVERDE, E.; GERMAN, S.; MCCOUCH, S.; JANNINK, J.; GUTIÉRREZ, L. |
Afiliación : |
JUAN EDUARDO ROSAS CAISSIOLS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Dep. of Statistics, College of Agriculture, Univ. de la República.; SEBASTIÁN MARTÍNEZ KOPP, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PEDRO HORACIO BLANCO BARRAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO BLAS PEREZ DE VIDA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA VICTORIA BONNECARRERE MARTINEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GLORIA MOSQUERA, Rice and Beans Project, CIAT, Cali, Colombia.; MARIBEL CRUZ, Latin American Rice Fund. Cali, Colombia; SILVIA RAQUEL GARAYCOCHEA SOLSONA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ELIANA MONTEVERDE, Dep. of Plant Breeding and Genetics, Cornell Univ., Ithaca, NY, USA.; SILVIA ELISA GERMAN FAEDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SUSAN MCCOUCH, Dep. of Plant Breeding and Genetics, Cornell Univ., Ithaca, NY, USA.; JEAN-LUC JANNINK; LUCÍA GUTIÉRREZ, Dep. of Agronomy, Univ. of Wisconsin-Madison. Dep. of Statistics, College of Agriculture, Univ. de la República. |
Título : |
Resistance to multiple temperate and tropical stem and sheath diseases of rice. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
The Plant Genome, 2018, v. 11, no. 1. art. 170029. OPEN ACCESS. Doi: https://doi.org/10.3835/plantgenome2017.03.0029 |
Páginas : |
p. 1-13. |
DOI : |
10.3835/plantgenome2017.03.0029 |
Idioma : |
Inglés |
Notas : |
History paper: Received 29 Mar. 2017, Accepted 19 Sep. 2017. Publihed online December 14, 2017. |
Contenido : |
ABSTRACT:
Stem rot and aggregated sheath spot are the two major stem and sheath diseases affecting rice (Oryza sativa L.) in temperate areas. A third fungal disease, sheath blight, is a major disease in tropical areas. Resistance to these diseases is a key objective in rice breeding programs but phenotyping is challenged by the confounding effects of phenological and morphological traits such as flowering time (FT) and plant height (PH). This study sought to identify quantitative trait loci (QTL) for resistance to these three diseases after removing the confounding effects of FT and PH. Two populations of advanced breeding germplasm, one with 316 tropical japonica and the other with 325 indica genotypes, were evaluated in field and greenhouse trials for resistance to the diseases. Phenotypic means for field and greenhouse disease resistance, adjusted by FT and PH, were analyzed for associations with 29,000 single nucleotide polymorphisms (SNPs) in tropical japonica and 50,000 SNPs in indica. A total of 29 QTL were found for resistance that were not associated with FT or PH. Multilocus models with selected resistance-associated SNPs were fitted for each disease to estimate their effects on the other diseases. A QTL on chromosome 9 accounted for more than 15% of the phenotypic variance for the three diseases. When resistance-associated SNPs at this locus from both the tropical japonica and indica populations were incorporated into the model, resistance was improved for all three diseases with little impact on FT and PH. MenosABSTRACT:
Stem rot and aggregated sheath spot are the two major stem and sheath diseases affecting rice (Oryza sativa L.) in temperate areas. A third fungal disease, sheath blight, is a major disease in tropical areas. Resistance to these diseases is a key objective in rice breeding programs but phenotyping is challenged by the confounding effects of phenological and morphological traits such as flowering time (FT) and plant height (PH). This study sought to identify quantitative trait loci (QTL) for resistance to these three diseases after removing the confounding effects of FT and PH. Two populations of advanced breeding germplasm, one with 316 tropical japonica and the other with 325 indica genotypes, were evaluated in field and greenhouse trials for resistance to the diseases. Phenotypic means for field and greenhouse disease resistance, adjusted by FT and PH, were analyzed for associations with 29,000 single nucleotide polymorphisms (SNPs) in tropical japonica and 50,000 SNPs in indica. A total of 29 QTL were found for resistance that were not associated with FT or PH. Multilocus models with selected resistance-associated SNPs were fitted for each disease to estimate their effects on the other diseases. A QTL on chromosome 9 accounted for more than 15% of the phenotypic variance for the three diseases. When resistance-associated SNPs at this locus from both the tropical japonica and indica populations were incorporated into the model, resistance was improved for all thr... Presentar Todo |
Palabras claves : |
DISEASE RESISTANCE; ENFERMEDADES DE LA VAINA. |
Thesagro : |
ARROZ; ENFERMEDADES DE LAS PLANTAS; RESISTENCIA A LA ENFERMEDAD. |
Asunto categoría : |
H20 Enfermedades de las plantas |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/8156/1/Rosas-arb-2017-1.pdf
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Marc : |
LEADER 02718naa a2200361 a 4500 001 1057899 005 2021-11-04 008 2018 bl uuuu u00u1 u #d 024 7 $a10.3835/plantgenome2017.03.0029$2DOI 100 1 $aROSAS, J.E. 245 $aResistance to multiple temperate and tropical stem and sheath diseases of rice.$h[electronic resource] 260 $c2018 300 $ap. 1-13. 500 $aHistory paper: Received 29 Mar. 2017, Accepted 19 Sep. 2017. Publihed online December 14, 2017. 520 $aABSTRACT: Stem rot and aggregated sheath spot are the two major stem and sheath diseases affecting rice (Oryza sativa L.) in temperate areas. A third fungal disease, sheath blight, is a major disease in tropical areas. Resistance to these diseases is a key objective in rice breeding programs but phenotyping is challenged by the confounding effects of phenological and morphological traits such as flowering time (FT) and plant height (PH). This study sought to identify quantitative trait loci (QTL) for resistance to these three diseases after removing the confounding effects of FT and PH. Two populations of advanced breeding germplasm, one with 316 tropical japonica and the other with 325 indica genotypes, were evaluated in field and greenhouse trials for resistance to the diseases. Phenotypic means for field and greenhouse disease resistance, adjusted by FT and PH, were analyzed for associations with 29,000 single nucleotide polymorphisms (SNPs) in tropical japonica and 50,000 SNPs in indica. A total of 29 QTL were found for resistance that were not associated with FT or PH. Multilocus models with selected resistance-associated SNPs were fitted for each disease to estimate their effects on the other diseases. A QTL on chromosome 9 accounted for more than 15% of the phenotypic variance for the three diseases. When resistance-associated SNPs at this locus from both the tropical japonica and indica populations were incorporated into the model, resistance was improved for all three diseases with little impact on FT and PH. 650 $aARROZ 650 $aENFERMEDADES DE LAS PLANTAS 650 $aRESISTENCIA A LA ENFERMEDAD 653 $aDISEASE RESISTANCE 653 $aENFERMEDADES DE LA VAINA 700 1 $aMARTÍNEZ, S. 700 1 $aBLANCO, P.H. 700 1 $aPÉREZ DE VIDA, F. 700 1 $aBONNECARRERE, V. 700 1 $aMOSQUERA, G. 700 1 $aCRUZ, M. 700 1 $aGARAYCOCHEA, S. 700 1 $aMONTEVERDE, E. 700 1 $aGERMAN, S. 700 1 $aMCCOUCH, S. 700 1 $aJANNINK, J. 700 1 $aGUTIÉRREZ, L. 773 $tThe Plant Genome, 2018$gv. 11, no. 1. art. 170029. OPEN ACCESS. Doi: https://doi.org/10.3835/plantgenome2017.03.0029
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Registro original : |
INIA Treinta y Tres (TT) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
05/09/2018 |
Actualizado : |
05/09/2018 |
Tipo de producción científica : |
Informes Agroclimáticos |
Autor : |
GIMÉNEZ, A.; CAL, A.; TISCORNIA, G.; SCHIAVI, C. |
Afiliación : |
AGUSTIN EDUARDO GIMÉNEZ FUREST, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ADRIAN TABARE CAL ALVAREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS IGNACIO SCHIAVI RAMPELBERG, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Informe agroclimático 2018 - Situación a Agosto. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
Montevideo (Uruguay): INIA, 2018. |
Páginas : |
4 p. |
Serie : |
(Informe Agroclimático; 148) |
Idioma : |
Español |
Palabras claves : |
AGROCLIMA; AGROCLIMATOLOGÍA; BOLETIN AGROCLIMÁTICO; CARACTERIZACIÓN AGROCLIMÁTICA; DIRECCION VIENTO; ESTACIONES AGROMETEOROLOGICAS; ESTACIONES AUTOMATICAS; ESTACIONES INIA; ESTADO DEL TIEMPO; ESTRÉS HÍDRICO; GRAFICAS AGROCLIMATICOS; GRAS; HELIOFANOGRAFO; INFORMACION SATELITAL; INFORME AGROCLIMÁTICO 2018; INUNDACIONES; LLUVIAS DIARIAS; MAXIMA; MEDIA; MINIMA; PANEL SOLAR; PERSPECTIVAS CLIMATICAS; PLUVIOMETRO; PRECIPITACION NACIONAL; PREVENCION HELADAS; PRONOSTICO; SENSOR; SIMETRICO; TANQUE A; TERMOCUPLAS; TERMOHIDROGRAFO; VARIABLES AGROCLIMATICAS; VELETA. |
Thesagro : |
AGROCLIMATOLOGIA; CAMBIO CLIMATICO; CLIMA; CLIMATOLOGIA; ESTACIONES METEOROLOGICAS; ESTRES HIDRICO; EVAPORACION; EVAPOTRANSPIRACION; HUMEDAD; HUMEDAD RELATIVA; LLUVIA; METEOROLOGIA; PERSPECTIVAS; PLUVIOMETROS; PRONOSTICO DEL TIEMPO; SENSORES; SISTEMAS; SISTEMAS DE INFORMACION; SUELO; TEMPERATURA; TERMOMETROS. |
Asunto categoría : |
P40 Meteorología y climatología |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/11185/1/Informe-agroclimatico-INIA-GRAS-Agosto-de-2018.pdf
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Marc : |
LEADER 02127nam a2200805 a 4500 001 1058995 005 2018-09-05 008 2018 bl uuuu u0uu1 u #d 100 1 $aGIMÉNEZ, A. 245 $aInforme agroclimático 2018 - Situación a Agosto.$h[electronic resource] 260 $aMontevideo (Uruguay): INIA$c2018 300 $a4 p. 490 $a(Informe Agroclimático; 148) 650 $aAGROCLIMATOLOGIA 650 $aCAMBIO CLIMATICO 650 $aCLIMA 650 $aCLIMATOLOGIA 650 $aESTACIONES METEOROLOGICAS 650 $aESTRES HIDRICO 650 $aEVAPORACION 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 $aSUELO 650 $aTEMPERATURA 650 $aTERMOMETROS 653 $aAGROCLIMA 653 $aAGROCLIMATOLOGÍA 653 $aBOLETIN AGROCLIMÁTICO 653 $aCARACTERIZACIÓN AGROCLIMÁTICA 653 $aDIRECCION VIENTO 653 $aESTACIONES AGROMETEOROLOGICAS 653 $aESTACIONES AUTOMATICAS 653 $aESTACIONES INIA 653 $aESTADO DEL TIEMPO 653 $aESTRÉS HÍDRICO 653 $aGRAFICAS AGROCLIMATICOS 653 $aGRAS 653 $aHELIOFANOGRAFO 653 $aINFORMACION SATELITAL 653 $aINFORME AGROCLIMÁTICO 2018 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 $aSIMETRICO 653 $aTANQUE A 653 $aTERMOCUPLAS 653 $aTERMOHIDROGRAFO 653 $aVARIABLES AGROCLIMATICAS 653 $aVELETA 700 1 $aCAL, A. 700 1 $aTISCORNIA, G. 700 1 $aSCHIAVI, C.
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