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| Registros recuperados : 85 | |
| 61. |  | ROSAS, J.E.; SPRUNCK, B.; IRIARTE, W.; REBOLLO, I.; BONNECARRERE, V.; MOLINA, F.; BLANCO, P.H.; PÉREZ DE VIDA, F. Validación de SNP asociados a variables de interés en germoplasma Japónica tropical de INIA. In: Terra, J. A.; Martínez, S.; Saravia, H. (Eds.) Arroz 2019. Montevideo (UY): INIA, 2019. p. 89-92. (INIA Serie Técnica; 250)| Biblioteca(s): INIA Treinta y Tres. |
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| 62. | | BONNECARRERE, V.; QUERO, G.; MONTEVERDE, E.; ROSAS, J.E.; PÉREZ DE VIDA, F.; CRUZ, M.; CORREDOR, E.; GARAYCOCHEA, S.; MONZA, J.; BORSANI, O. Candidate gene markers associated with cold tolerance in vegetative stage of rice (Oryza sativa L.). Euphytica, 2015, v. 203 no. 2, p. 385-398. p. 385-398. Received: 17 June 2014 / Accepted: 23 October 2014 / Published online: 2 November 2014| Biblioteca(s): INIA Las Brujas; INIA Treinta y Tres. |
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| 63. | | BONNECARRERE, V.; GARAYCOCHEA, S.; GUTIERREZ, L.; ROSAS, J.E.; BERBERIAN, N.; FERNÁNDEZ, S.; MARTÍNEZ, S.; PÉREZ DE VIDA, F.; BLANCO, P.H. Avances de resultados del proyecto mapeo asociativo para la identificación de marcadores asociados a rendimiento, calidad y resistencia a enfermedades In: PROGRAMA NACIONAL PRODUCCIÓN DE ARROZ; JORNADA ANUAL ARROZ-SOJA, 2013, INIA TREINTA Y TRES, UY. Arroz-soja: resultados experimentales 2012-2013. Treinta y Tres: INIA, 2013. "cap. 6; p. 22-24" (INIA Serie Actividades de Difusión ; 713)| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| 64. | | BLANCO, P.H.; PÉREZ DE VIDA, F.; MOLINA, F.; AVILA, S.; LAVECCHIA, A.; BONNECARRERE, V.; SILVERA, W.; ROSAS, J.E.; ARISMENDI, N. Comentarios generales sobre la evaluación interna de cultivares. ln: INIA TREINTA Y TRES. Arroz: Resultados experimentales 2009-2010. Treinta y Tres (Uruguay): INIA, 2010. cap. 7, p. 11-15 (INIA Serie Actividades de Difusión; 611)| Biblioteca(s): INIA Treinta y Tres. |
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| 65. | | BLANCO, P.H.; PÉREZ DE VIDA, F.; MOLINA, F.; LAVECCHIA, A.; MARCHESI, C.; BONNECARRERE, V.; MARTINEZ, S.; SILVERA, W.; ROSAS, J.E.; ARISMENDI, G.; CASALES, L.; ESCALANTE, F. Comentarios generales sobre la evaluación interna de cultivares. ln: INIA TREINTA Y TRES. Arroz : Resultados experimentales 2010-2011. Treinta y Tres (Uruguay): INIA, 2011. C. 6 p. 3-5. (INIA Serie Actividades de Difusión; 651)| Biblioteca(s): INIA Treinta y Tres. |
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| 66. | | ROSAS, J.E.; MARTÍNEZ, S.; BONNECARRERE, M.; PÉREZ DE VIDA, F.; BLANCO, P.H.; MALOSETTI, M.; JANNINK, J.L.; GUTIÉRREZ, L. Comparison of phenotyping methods for resistance to stem rot and aggregated sheath spot in rice. Crop Science, 2016, v. 56, no. 4, p. 1619-1627. Open Access Article history: Published June 15, 2016.| Biblioteca(s): INIA Las Brujas. |
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| 67. | | REBOLLO, I.; SCHEFFEL, S.; BLANCO, P.H.; MOLINA, F.; MARTÍNEZ, S.; CARRACELAS, G.; AGUILAR, I.; PÉREZ DE VIDA, F.; ROSAS, J.E. Consolidating twenty-three years of historical data from an irrigated subtropical rice breeding program in Uruguay. Crop Science, 2023. https://doi.org/10.1002/csc2.20955 - [Article in Press]. Article history: First published 15 March 2023. -- Corresponding author: jrosas@inia.org.uy --| Biblioteca(s): INIA Las Brujas. |
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| 68. | | ROSAS, J.E.; MARTÍNEZ, S.; BONNECARRERE, V.; BLANCO, P.H.; PÉREZ DE VIDA, F.; GERMAN, S.; JANNINK, J.L.; GUTIÉRREZ, L. Evaluación de nuevos métodos de selección para resistencia a enfermedades del tallo y la vaina en arroz. In: Zorrilla, G.; Martínez, S.; Saravia, H. (Eds.) Arroz 2017. Montevideo (UY): INIA, 2017. p. 31-34. (INIA Serie Técnica; 233)| Biblioteca(s): INIA Treinta y Tres. |
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| 69. | | ROSAS, J.E.; BONNECARRERE, V.; MARTÍNEZ, S.; PÉREZ DE VIDA, F.; BLANCO, P.H.; QUERO, G.; FERNANDEZ, S.; GARAYCOCHEA, S.; JANNINK, J.L.; GUTIÉRREZ, L. GWAS for resistance to stem rot and aggregated sheath spot in advanced temperate rice (Oryza sativa L.) germplasm. [Poster]. In: International Conference on Quantitative Genetics, (5o., 2016, Madison)| Biblioteca(s): INIA Treinta y Tres. |
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| 70. | | ROSAS, J.E.; MARTÍNEZ, S.; BONNECARRERE, V.; PÉREZ DE VIDA, F.; BLANCO, P.H.; FERNANDEZ, S.; GARAYCOCHEA, S.; JANNINK, J.L.; GUTIERREZ, L. GWAS for resistance to stem rot and aggregated sheath spot of rice advanced breeding lines. [Poster]. In: International Symposium on Rice Functional Genomics, (14o., 2016, Montpellier),| Biblioteca(s): INIA Treinta y Tres. |
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| 71. | | ROSAS, J.E.; MARTÍNEZ, S.; BONNECARRERE, V.; BLANCO, P.H.; PÉREZ DE VIDA, F.; GERMAN, S.; JANNINK, J.L.; GUTIÉRREZ, L. Herramientas bioestadísticas para mejoramiento de la resistencia genética a enfermedades del tallo en arroz. In: INIA (Instituto Nacional de Investigación Agropecuaria); INIA Las Brujas; Biotecnología. Jornada de Agrobiotecnología, X. Encuentro Nacional de REDBIO, II. Jornada técnica. Las Brujas, Canelones (UY): INIA, 2017. p. 9-12. (Serie Actividades de Difusión; 780)| Biblioteca(s): INIA Las Brujas. |
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| 72. | | QUERO, G.; GUTIÉRREZ, L.; FERNANDEZ, S.; BLANCO, P.H.; PÉREZ DE VIDA, F.; GARAYCOCHEA, S.; MONTEVERDE, E.; MCCOUCH, M.; ROSAS, J.E.; BERBERIAN, N.; SIMONDIS, S.; BONNECARRERE, V. Genome wide association (GWAS) discovers rice granin quality genes in the starch metabolism, grain size and cell wall synthesis pathways. MV 24 - COMUNICACIONES LIBRES - MV. MEJORAMIENTO VEGETAL In: JOURNAL OF BASIC & APPLIED GENETICS, 2016, Vol.27, Iss. 1 (Supp.). XVI LATIN AMERICAN CONGRESS OF GENETICS, IV CONGRESS OF THE URUGUAYAN SOCIETY OF GENETICS, XLIX ANNUAL MEETING OF THE GENETICS SOCIETY OF CHILE, XLV ARGENTINE CONGRESS OF GENETICS, 9-12 October 2016. PROCEEDINGS. Montevideo (Uruguay): SAG, 2016. p. 292| Biblioteca(s): INIA Las Brujas. |
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| 73. | | ROSAS, J.E.; BONNECARRERE, V.; MARTÍNEZ, S.; PÉREZ DE VIDA, F.; BLANCO, P.H.; QUERO, G.; FERNANDEZ, S.; GARAYCOCHEA, S.; JANNINK, J.; GUTIERREZ, L. Mapeo asociativo de la resistencia a enfermedades del tallo y la vaina en germoplasma avanzado de arroz. 2 - SIMPOSIOS "MEJORAMIENTO GENÉTICO POR RESISTENCIA A ENFERMEDADES E INTERACCIONES PLANTA-PATÓGENO" In: JOURNAL OF BASIC & APPLIED GENETICS, 2016, Vol.27, Iss. 1 (Supp.). XVI LATIN AMERICAN CONGRESS OF GENETICS, IV CONGRESS OF THE URUGUAYAN SOCIETY OF GENETICS, XLIX ANNUAL MEETING OF THE GENETICS SOCIETY OF CHILE, XLV ARGENTINE CONGRESS OF GENETICS, 9-12 October 2016. PROCEEDINGS. Montevideo (Uruguay): SAG, 2016. p. 61| Biblioteca(s): INIA Las Brujas. |
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| 74. | | BONNECARRERE, M.; QUERO, G.; ROSAS, J.E.; FERNANDEZ, S.; GARAYCOCHEA, S.; MARTÍNEZ, S.; PÉREZ DE VIDA, F.; BLANCO, P.H.; BERBERIAN, N.; GUTIERREZ, L. Marcadores moleculares identificados en el Proyecto "Mapeo asociativo para asistir el mejoramiento genético de arroz". In: JORNADA TÉCNICA, VIII JORNADA DE AGROBIOTECNOLOGÍA. INIA LAS BRUJAS, 30 DE OCTUBRE DE 2014. UNIDAD DE BIOTECNOLOGÍA. Montevideo (Uruguay): INIA, 2014. 5-6 (Actividades de Difusión; 741)| Biblioteca(s): INIA Las Brujas. |
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| 75. | | MONTEVERDE, E.; BLANCO, P.H.; BONNECARRERE, V.; GUTIÉRREZ, L.; ROSAS, J.E.; QUERO, G.; BARBERIÁN, N.; GARAYCOCHEA, S.; FERNANDEZ, S.; MCCOUCH, S. Implementing Genomic Selection in a temperate Rice Breeding Program. [P0716] In: International Plant & Animal Genome, Conference PAG XXIV, "The largest Ag-genomics Meeting in the World San Diego, CA, USA; January 9-13, 2016. [Abstract]| Biblioteca(s): INIA Las Brujas. |
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| 76. | | ROSAS, J.E.; SPRUNK, B.; DIAZ, L.; RIPOLL, M.; PÉREZ OIS, M.; NIETO, C.; SOSA, B.; MARCHESI, C.; SALDAIN, N.E. Intensidad de uso del sistema Clearfield® en arroz y ocurrencia de arroz maleza resistente a imidazolinonas. In: Zorrilla, G.; Martínez, S.; Terra, J. A. Saravia, H. (Eds.) Arroz 2018. Montevideo (UY): INIA, 2018. p. 43-45. (INIA Serie Técnica; 246)| Biblioteca(s): INIA Treinta y Tres. |
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| 77. | | BLANCO, P.H.; PÉREZ DE VIDA, F.; MOLINA, F.; SILVERA, W.; LAVECCHIA, A.; ROSAS, J.E.; ARRASTIA, M.; ARISMENDI, N.; AVILA, S.; BONNECARRERE, V.; CAPDEVIELLE, F. Mejoramiento genético. I. Resumen de actividades. Evaluación interna de cultivares. ln: INIA TREINTA Y TRES. Arroz: Resultados experimentales 2008-2009. Treinta y Tres (Uruguay): INIA, 2009. cap. 7 p. 1-7 (INIA Serie Actividades de Difusión; 571)| Biblioteca(s): INIA Treinta y Tres. |
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| 78. | | ROSAS, J.E.; MARTÍNEZ, S.; BONNECARRERE, V.; PÉREZ DE VIDA, F.; BLANCO, P.H.; FERNANDEZ, S.; GARAYCOCHEA, S.; JANNINK, J-L.; GUTIERREZ, L. Resistance to multiple temperate and tropical stem and sheath diseases of rice. [Poster]. En: Jornadas de Investigación, Facultad de Agronomía (UdelaR), 8-9, nov. 2018, Montevideo, UY.| Biblioteca(s): INIA Treinta y Tres. |
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| 79. | | SPINDEL, J.E.; MONTEVERDE, E.; BEGUM, H.; AKDEMIR, D.; COLLARD, B.; REDOÑA, E.; BLANCO, P.H.; PÉREZ DE VIDA, F.; BONNECARRERE, V.; GUTIÉRREZ, L.; ROSAS, J.E.; QUERO, G.; BERBERIÁN, N.; GARAYCOCHEA, S.; FERNANDEZ, S.; JANNINK, J.L.; MCCOUCH, S. GS + de novo GWAS in Tropical and Temperate Irrigated Rice Breeding Programs. [W809] In: International Plant & Animal Genome, Conference PAG XXIV, "The largest Ag-genomics Meeting in the World San Diego, CA, USA; January 9-13, 2016. [Abstract] .| Biblioteca(s): INIA Las Brujas. |
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| 80. | | QUERO, G.; GUTIÉRREZ, L.; MONTEVERDE, E.; BLANCO, P.H.; PÉREZ DE VIDA, F.; ROSAS, J.E.; FERNANDEZ, S.; GARAYCOCHEA, S.; MC COUCH, S.; BERBERIAN, N.; SIMONDI, S.; BONNECARRERE, V. Genome-wide association study using historical breeding populations discovers genomic regions involved in high-quality rice. Plant Genome, 2018, Volume 11, Article number 170076. Open Access. Article history: Received: Aug 25, 2017 // Accepted: Apr 09, 2018 // Published: July 12, 2018.
Permissions: This is an open access article under the CC BY-NC-ND license. Proper attribution is required for reuse. No permissions are needed...| Biblioteca(s): INIA Las Brujas; INIA Treinta y Tres. |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
15/12/2020 |
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Actualizado : |
08/02/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
-- - -- |
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Autor : |
ROSAS, J.E.; ESCOBAR, M.; MARTÍNEZ, S.; BLANCO, P.H.; PÉREZ DE VIDA, F.; QUERO, G.; GUTIÉRREZ, L.; BONNECARRERE, V. |
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Afiliación : |
JUAN EDUARDO ROSAS CAISSIOLS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MAIA ESCOBAR BONORA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; 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; GASTÓN QUERO CORRALLO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUCÍA GUTIÉRREZ, Facultad de Agronomía, UDELAR; University of Wisconsin-Madison, USA.; MARIA VICTORIA BONNECARRERE MARTINEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Epistasis and quantitative resistance to Pyricularia oryzae revealed by GWAS in advanced rice breeding populations. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Agriculture 2020, 10(12), 622. Open Access. DOI: https://doi.org/10.3390/agriculture10120622 |
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DOI : |
10.3390/agriculture10120622 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 30 October 2020 / Revised: 23 November 2020 / Accepted: 24 November 2020 / Published: 11 December 2020. |
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Contenido : |
Rice blast caused by Pyricularia oryzae is a major rice disease worldwide. Despite the detailed knowledge on major resistance genes available to date, little is known about how these genes interact with quantitative blast resistance loci and with the genetic background. Knowledge on these interactions is crucial for assessing the usefulness of introgressed resistance loci in breeding germplasm. Our goal was to identify quantitative trait loci (QTL) for blast resistance in rice breeding populations and to describe how they interact among each other and with the genetic background. To that end, resistance to blast was mapped by genome-wide association study (GWAS) in two advanced rice breeding subpopulations, one made of 305 indica type inbred lines, and the other of 245 tropical japonica inbred lines. The interactions and main effects of blast resistance loci were assessed in a multilocus model. Well known, major effect blast resistance gene clusters were detected in both tropical japonica (Pii/Pi3/Pi5) and indica (Piz/Pi2/Pi9) subpopulations with the GWAS scan 1. When these major effect loci were included as fixed cofactors in subsequent GWAS scans 2 and 3, additional QTL and more complex genetic architectures were revealed. The multilocus model for the tropical japonica subpopulation showed that Pii/Pi3/Pi5 had significant interaction with two QTL in chromosome 1 and one QTL in chromosome 8, together explaining 64% of the phenotypic variance. In the indica subpopulation a significant interaction among the QTL in chromosomes 6 and 4 and the genetic background, together with Piz/Pi2/Pi9 and QTL in chromosomes 1, 4 and 7, explained 35% of the phenotypic variance. Our results suggest that epistatic interactions can play a major role modulating the response mediated by major effect blast resistance loci such as Pii/Pi3/Pi5. Furthermore, the additive and epistatic effects of multiple QTL bring additional layers of quantitative resistance with a magnitude comparable to that of major effect loci. These findings highlight the need of genetic background-specific validation of markers for molecular assisted blast resistance breeding and provide insights for developing quantitative resistance to blast disease in rice. MenosRice blast caused by Pyricularia oryzae is a major rice disease worldwide. Despite the detailed knowledge on major resistance genes available to date, little is known about how these genes interact with quantitative blast resistance loci and with the genetic background. Knowledge on these interactions is crucial for assessing the usefulness of introgressed resistance loci in breeding germplasm. Our goal was to identify quantitative trait loci (QTL) for blast resistance in rice breeding populations and to describe how they interact among each other and with the genetic background. To that end, resistance to blast was mapped by genome-wide association study (GWAS) in two advanced rice breeding subpopulations, one made of 305 indica type inbred lines, and the other of 245 tropical japonica inbred lines. The interactions and main effects of blast resistance loci were assessed in a multilocus model. Well known, major effect blast resistance gene clusters were detected in both tropical japonica (Pii/Pi3/Pi5) and indica (Piz/Pi2/Pi9) subpopulations with the GWAS scan 1. When these major effect loci were included as fixed cofactors in subsequent GWAS scans 2 and 3, additional QTL and more complex genetic architectures were revealed. The multilocus model for the tropical japonica subpopulation showed that Pii/Pi3/Pi5 had significant interaction with two QTL in chromosome 1 and one QTL in chromosome 8, together explaining 64% of the phenotypic variance. In the indica subpopulation a s... Presentar Todo |
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Palabras claves : |
DISEASE RESISTANCE; GWAS; LEAF BLAST; MAGNAPORTHE ORYZAE; PYRICULARIA ORYZAE; QTL BY GENETIC BACKGROUND INTERACTION; QTL by QTL INTERACTION; RESISTENCIA A ENFERMEDADES. |
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Asunto categoría : |
H20 Enfermedades de las plantas |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/14870/1/agriculture-10-00622.pdf
https://www.mdpi.com/2077-0472/10/12/622
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Marc : |
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024 7 $a10.3390/agriculture10120622$2DOI
100 1 $aROSAS, J.E.
245 $aEpistasis and quantitative resistance to Pyricularia oryzae revealed by GWAS in advanced rice breeding populations.$h[electronic resource]
260 $c2020
500 $aArticle history: Received: 30 October 2020 / Revised: 23 November 2020 / Accepted: 24 November 2020 / Published: 11 December 2020.
520 $aRice blast caused by Pyricularia oryzae is a major rice disease worldwide. Despite the detailed knowledge on major resistance genes available to date, little is known about how these genes interact with quantitative blast resistance loci and with the genetic background. Knowledge on these interactions is crucial for assessing the usefulness of introgressed resistance loci in breeding germplasm. Our goal was to identify quantitative trait loci (QTL) for blast resistance in rice breeding populations and to describe how they interact among each other and with the genetic background. To that end, resistance to blast was mapped by genome-wide association study (GWAS) in two advanced rice breeding subpopulations, one made of 305 indica type inbred lines, and the other of 245 tropical japonica inbred lines. The interactions and main effects of blast resistance loci were assessed in a multilocus model. Well known, major effect blast resistance gene clusters were detected in both tropical japonica (Pii/Pi3/Pi5) and indica (Piz/Pi2/Pi9) subpopulations with the GWAS scan 1. When these major effect loci were included as fixed cofactors in subsequent GWAS scans 2 and 3, additional QTL and more complex genetic architectures were revealed. The multilocus model for the tropical japonica subpopulation showed that Pii/Pi3/Pi5 had significant interaction with two QTL in chromosome 1 and one QTL in chromosome 8, together explaining 64% of the phenotypic variance. In the indica subpopulation a significant interaction among the QTL in chromosomes 6 and 4 and the genetic background, together with Piz/Pi2/Pi9 and QTL in chromosomes 1, 4 and 7, explained 35% of the phenotypic variance. Our results suggest that epistatic interactions can play a major role modulating the response mediated by major effect blast resistance loci such as Pii/Pi3/Pi5. Furthermore, the additive and epistatic effects of multiple QTL bring additional layers of quantitative resistance with a magnitude comparable to that of major effect loci. These findings highlight the need of genetic background-specific validation of markers for molecular assisted blast resistance breeding and provide insights for developing quantitative resistance to blast disease in rice.
653 $aDISEASE RESISTANCE
653 $aGWAS
653 $aLEAF BLAST
653 $aMAGNAPORTHE ORYZAE
653 $aPYRICULARIA ORYZAE
653 $aQTL BY GENETIC BACKGROUND INTERACTION
653 $aQTL by QTL INTERACTION
653 $aRESISTENCIA A ENFERMEDADES
700 1 $aESCOBAR, M.
700 1 $aMARTÍNEZ, S.
700 1 $aBLANCO, P.H.
700 1 $aPÉREZ DE VIDA, F.
700 1 $aQUERO, G.
700 1 $aGUTIÉRREZ, L.
700 1 $aBONNECARRERE, V.
773 $tAgriculture 2020, 10(12), 622. Open Access. DOI: https://doi.org/10.3390/agriculture10120622
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