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| Registros recuperados : 85 | |
| 41. |  | DIEZ VIGNOLA, M.; SAINZ, M.; SALDAIN, N.E.; MARCHESI, C.; BONNECARRERE, V.; DÍAZ GADEA, P. Limited induction of ethylene and cyanide synthesis are observed in quinclorac-resistant barnyardgrass (Echinochloa crus-galli) in Uruguay. Weed Science, 1 July 2020, Volume 68, Issue 4, Pages 348-357. Doi: https://doi.org/10.1017/wsc.2020.32 Article history: Article accepted and Published online by Cambridge University Press: 28 April 2020| Biblioteca(s): INIA Treinta y Tres. |
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| 42. | | QUERO, G.; SIMONDI, S.; CERETTA, S.; OTERO, A.; GARAYCOCHEA, S.; FERNANDEZ, S.; BORSANI, O.; BONNECARRERE, V. An integrative analysis of yield stability for a GWAS in a small soybean breeding population. Crop Science, May 2021, volume 61, issue 3, pages 19003-1914. Doi: https://doi.org/10.1002/csc2.20490 Article history: Received, 3 November 2020; Accepted, 11 February 2021; Published online, 14 April 2021.
Associate Editor: Junping Chen.
The authors thank Edgardo Rey and Wanda Iriarte for technical assistance in field experiment and...| Biblioteca(s): INIA Las Brujas. |
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| 44. | | SIMONDI, S.; CASARETTO, E.; QUERO, S.; CERETTA, S.; BONNECARRERE, V.; BORSANI, O. A simple and accurate method based on a water-consumption model for phenotyping soybean genotypes under hydric deficit conditions. Agronomy, 2022, Volume 12, Issue 3, Article number 575. GOLD OPEN ACCESS. doi: https://doi.org/10.3390/agronomy12030575 Article history: Received 14 December 2021; Revised 17 February 2022; Accepted 24 February 2022; Published 25 February 2022.
Corresponding author: Borsani, O.; Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la...| Biblioteca(s): INIA Las Brujas. |
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| 45. | | GALLINO, J. P.; CASTILLO, A.; CERETTA, S.; ESTEVES, P.; BONNECARRERE, V. A simple and inexpensive procedure to more quickly obtain new varieties in soybean. Crop Breeding and Applied Biotechnology, 2022, volume 22, Issue 1, e38212216. OPEN ACCESS. doi: https://doi.org/10.1590/1984-70332022v22n1a06 Article history: Received 24 May 2021; Accepted 12 Aug 2021; Published 30 Mar 2022; Publication in this collection 04 May 2022; Date of issue 2022.
Corresponding author: Gallino, J.P.; INIA, Estación Experimental "Wilson Ferreira...| Biblioteca(s): INIA Las Brujas. |
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| 49. | | FEINGOLD, S.; BONNECARRERE, V.; NEPOMUCENO, A.; HINRICHSEN, P.; CARDOZO, L.; MOLINARI, H.; BARBA, P.; EYHERABIDE, G.; CERETTA, S.; DUJACK, CH. Edición génica: una oportunidad para la región. [Debate]. Revista de Investigaciones Agropecuarias (RIA), 2018, Volume 44, Issue 3, Pages 424-427. OPEN ACCESS 2-s2.0-85068609552 Article history: Publicado online 5 de diciembre de 2018.
Este documento fue originado durante la ?Primera Reunión del Núcleo de Estudio de Nuevas Técnicas de Mejoramiento Genético? del PROCISUR, realizada en
Montevideo entre el 25 y 26...| Biblioteca(s): INIA Las Brujas. |
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| 50. | | ROSAS, J.E.; ESCOBAR, M.; MARTÍNEZ, S.; BLANCO, P.H.; PÉREZ DE VIDA, F.; QUERO, G.; GUTIÉRREZ, L.; BONNECARRERE, V. Epistasis and quantitative resistance to Pyricularia oryzae revealed by GWAS in advanced rice breeding populations. Agriculture 2020, 10(12), 622. Open Access. DOI: https://doi.org/10.3390/agriculture10120622 Article history: Received: 30 October 2020 / Revised: 23 November 2020 / Accepted: 24 November 2020 / Published: 11 December 2020.| Biblioteca(s): INIA Treinta y Tres. |
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| 51. | | PORTA, B.; CONDON, F.; FRANCO, J.; IRIARTE, W.; BONNECARRERE, V.; GUIMARAENS-MOREIRA, M; VIDAL, R.; GALVAN, G.A. Genetic structure, core collection and regeneration quality in white dent corn landraces. Crop Science, v.58: 1-15, July-August 2018. Article history: Received: Dec 31, 2017 / Accepted: Mar 05, 2018 / Published: April 26, 2018.| Biblioteca(s): INIA La Estanzuela. |
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| 53. | | BERBERIAN, N.; BONNECARRERE, V.; BLANCO, P.H.; PÉREZ DE VIDA, F.; ROSAS, J.E.; MARTÍNEZ, S.; GUTIÉRREZ, L. Model comparison and experimental design simulation including natural field variability in rice crop (Oryza sativa L.). In: UNIVERSIDAD DE LA REPÚBLICA (UDELAR). FACULTAD DE AGRONOMÍA. Resúmenes. Jornadas de Investigación, 8-9 nov., 2018, Montevideo, Uruguay. Montevideo; FAGRO, 2019. p. 14 Trabajo originalmente presentado en: Berberian, N.; Bonecarrere, V.; Blaco, P.; Pérez de Vida, F.; Rosas, J.; Martínez, S.; Gutíerrez, L. 2018. International Biometric Conference, 29. Model comparison and experimental design simulation...| Biblioteca(s): INIA Treinta y Tres. |
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| 54. | | REBOLLO, I.; PÉREZ DE VIDA, F.; BLANCO, P.H.; MOLINA, F.; CRUZ, M.; BONNECARRERE, V.; GARAYCOCHEA, S.; ROSAS, J.E. Mapeo asociado de tolerancia a bajas temperaturas en germoplasma avanzado de arroz. [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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| 55. | | REBOLLO, I.; CRUZ, M.; PÉREZ DE VIDA, F.; BLANCO, P.H.; MOLINA, F.; BONNECARRERE, V.; GARAYCOCHEA, S.; ROSAS, J.E. Mapeo asociativo de tolerancia a bajas temperaturas en germoplasma avanzado de arroz. In: UNIVERSIDAD DE LA REPÚBLICA (UDELAR). FACULTAD DE AGRONOMÍA. Resúmenes. Jornadas de Investigación, 8-9 nov., 2018, Montevideo, Uruguay. Montevideo; FAGRO, 2019. p. 18| Biblioteca(s): INIA Treinta y Tres. |
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| 56. | | MONTEVERDE, E.; ROSAS, J.E.; BLANCO, P.H.; PÉREZ DE VIDA, F.; BONNECARRERE, V.; QUERO, G.; GUTIERREZ, L.; MCCOUCH, S. Multienvironment models increase prediction accuracy of complex traits in advanced breeding lines of rice (O. sativa). Crop Science, 2018, 58:1519-1530. Article history: Accepted on May 09, 2018. Published online June 21, 2018.| Biblioteca(s): INIA Treinta y Tres. |
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| 57. | | MONTEVERDE, E.; GUTIERREZ, L.; BLANCO, P.H.; PÉREZ DE VIDA, F.; ROSAS, J.E.; BONNECARRERE, V.; QUERO, G.; MCCOUCH, SUSAN Integrating molecular markers and environmental covariates to interpret genotype by environment interaction in rice (Oryza sativa L.) grown in subtropical areas. G3: GENES, GENOMES, GENETICS May 1, 2019, v.9 (5), p. 1519-1531. OPEN ACCESS. Article history: Manuscript received February 6, 2019 // Accepted for publication March 5, 2019// Published Early Online March 15, 2019.
Supplemental material available at Figshare: https://doi.org/10.25387/g3.7685636| Biblioteca(s): INIA Treinta y Tres. |
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| 59. | | 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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| 60. | | 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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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 : |
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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