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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
04/03/2020 |
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Actualizado : |
04/03/2020 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
PEDROZO, P.; MOLTINI, A.I.; PINTOS, P.; LUQUE, E.; SALVO, M.; ARRUABARRENA, A.; ARES, G.; ALCAIRE, F.; VICENTE, E.; LADO, J. |
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Afiliación : |
P. PEDROZO; A. I. MOLTINI; PEDRO MAXIMILIANO PINTOS RODRIGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MAYZA ELEANA LUQUE NUÑEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MATÍAS SALVO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANA ARRUABARRENA PASCOVICH, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; G. ARES; F. ALCAIRE; CARLOS ESTEBAN VICENTE CASTRO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOANNA LADO LINDNER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Herramientas de selección temprana en la mejora de la calidad sensorial de las frutillas nacionales. [Resumen] |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
In: INIA (Instituto Nacional de Investigación Agropecuaria); Programa Nacional Producción Hortícola. Resúmenes. Jornada Mejoramiento Genético de Hortalizas: Ciencia y Tecnología para la producción y el consumidor, 2019, Salto, Uruguay. Trabajos de investigación relacionados al proyecto. Salto (UY): INIA, 2019. p. 26-27. |
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Idioma : |
Español |
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Contenido : |
La selección temprana por marcadores moleculares asociados a características de interés sensorial, sería una herramienta clave para optimizar y acelerar la selección de frutillas desde etapas tempranas del programa de mejoramiento genético. El presente trabajo consiste en conocer el impacto de la presencia/ausencia de estos compuestos en la percepción del consumidor uruguayo, así como validar el uso se selección asistida por estos marcadores en el proceso de mejora genética de frutilla. |
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Thesagro : |
FRUTILLA; MARCADORES MOLECULARES. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/14273/1/Pedrozo-P.-Libro-Resumenes-Mejoramiento-genetico-hortalizas-2019.pdf
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Marc : |
LEADER 01483nam a2200241 a 4500
001 1060875
005 2020-03-04
008 2019 bl uuuu u01u1 u #d
100 1 $aPEDROZO, P.
245 $aHerramientas de selección temprana en la mejora de la calidad sensorial de las frutillas nacionales. [Resumen]$h[electronic resource]
260 $aIn: INIA (Instituto Nacional de Investigación Agropecuaria); Programa Nacional Producción Hortícola. Resúmenes. Jornada Mejoramiento Genético de Hortalizas: Ciencia y Tecnología para la producción y el consumidor, 2019, Salto, Uruguay. Trabajos de investigación relacionados al proyecto. Salto (UY): INIA, 2019. p. 26-27.$c2019
520 $aLa selección temprana por marcadores moleculares asociados a características de interés sensorial, sería una herramienta clave para optimizar y acelerar la selección de frutillas desde etapas tempranas del programa de mejoramiento genético. El presente trabajo consiste en conocer el impacto de la presencia/ausencia de estos compuestos en la percepción del consumidor uruguayo, así como validar el uso se selección asistida por estos marcadores en el proceso de mejora genética de frutilla.
650 $aFRUTILLA
650 $aMARCADORES MOLECULARES
700 1 $aMOLTINI, A.I.
700 1 $aPINTOS, P.
700 1 $aLUQUE, E.
700 1 $aSALVO, M.
700 1 $aARRUABARRENA, A.
700 1 $aARES, G.
700 1 $aALCAIRE, F.
700 1 $aVICENTE, E.
700 1 $aLADO, J.
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Registro original : |
INIA Las Brujas (LB) |
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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 : |
LEADER 03395naa a2200325 a 4500
001 1061583
005 2021-02-08
008 2020 bl uuuu u00u1 u #d
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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