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| Registros recuperados : 14 | |
| 3. |  | MONTEVERDE, E.; SCHEFFEL, S.; REBOLLO, I.; MOLINA, F.; PÉREZ DE VIDA, F.; ROSAS, J.E. Ganancia genética del Programa de Mejoramiento Genético de Arroz de INIA. In: Terra, J. A.; Martínez, S.; Saravia, H.; Mesones, B. (Eds.) Arroz 2021. Montevideo (UY): INIA, 2022. p. 68-70. (INIA Serie Técnica; 262)| Biblioteca(s): INIA Treinta y Tres. |
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| 4. | | ROSAS, J.E.; MARTÍNEZ, S.; BLANCO, P.H.; PÉREZ DE VIDA, F.; BONNECARRERE, V.; MOSQUERA, G.; CRUZ, M.; GARAYCOCHEA, S.; MONTEVERDE, E.; MOSQUERA, G.; CRUZ, M.; GARAYCOCHEA, S.; MONTEVERDE, E.; MCCOUCH, S.; GERMAN, S.; JANNINK, J.; GUTIÉRREZ, L. Resistencia múltiple a enfermedades tropicales y templadas del tallo y la vaina del arroz. In: UNIVERSIDAD DE LA REPÚBLICA (UDELAR). FACULTAD DE AGRONOMÍA. Resúmenes. Jornadas de Investigación, 8-9 nov., 2018, Montevideo, Uruguay. Montevideo; FAGRO, 2019. p. 19 Trabajo originalmente publicado en: Rosas, J.E.; Martínez, S.; Blanco, P.; Pérez de Vida, F.; Bonnecarrère, V.; Mosquera, G.; Cruz, M. Garaycochea, S.; Monteverde, E.; McCouch, S.; Germán, S.; Jannink, J.L.; Gutiérrez, L. 2018....| Biblioteca(s): INIA Treinta y Tres. |
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| 5. | | 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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| 6. | | 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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| 7. | | 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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| 8. | | 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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| 9. | | 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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| 10. | | Galván, G.Colnago, P.Noguez, M.Peluffo, S.González Idiarte, H.Cortizas, J.M.Malutín, L.Musso, D.González Ravelino, P.Monteverde, E.Speranza, P. Mejoramiento por resistencia a enfermedades en cebolla (Proyecto INIA-FPTA) Las Brujas, Canelones (Uruguay): INIA, 2009. p. 1 (INIA Serie Actividades de Difusión ; 564) INIA Las Brujas| Biblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
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| 11. | | 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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| 12. | | 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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| 13. | | ROSAS, J.E.; MARTÍNEZ, S.; BLANCO, P.H.; PÉREZ DE VIDA, F.; GARAYCOCHEA, S.; FERNANDEZ, S.; IRIARTE, W.; MONTEVERDE, E.; BERBERIÁN, N.; BONNECARRERE, V.; GUTIERREZ, L.; MCCOUCH, S.; JANNINK, J.L. Mapeo asociativo de resistencia a enfermedades del tallo y la vaina en arroz.[Poster]. In: Jornadas de Agrobiotecnologìa, (9a., 2015, Montevideo)| Biblioteca(s): INIA Treinta y Tres. |
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| 14. | | 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. Resistance to multiple temperate and tropical stem and sheath diseases of rice. The Plant Genome, 2018, v. 11, no. 1. art. 170029. OPEN ACCESS. Doi: https://doi.org/10.3835/plantgenome2017.03.0029 p. 1-13. History paper: Received 29 Mar. 2017, Accepted 19 Sep. 2017. Publihed online December 14, 2017.| Biblioteca(s): INIA Treinta y Tres. |
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| Registros recuperados : 14 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas; INIA Treinta y Tres. |
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Fecha actual : |
12/03/2019 |
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Actualizado : |
12/03/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
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. |
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Afiliación : |
GASTÓN QUERO CORRALLO, Universidad de la República (UdelaR)/ Facultad de Agronomía; INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUCÍA GUTIÉRREZ, Dep. of Agronomy, Univ. of Wisconsin-Madison, United States.; Universidad de la República (UdelaR)/ Facultad de Agronomía; ELIANA MONTEVERDE, Dep. of Plant Breeding and Genetics, Cornell Univ., United States; PEDRO HORACIO BLANCO BARRAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO BLAS PEREZ DE VIDA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN EDUARDO ROSAS CAISSIOLS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SCHUBERT DANIEL FERNANDEZ REGGIARDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVIA RAQUEL GARAYCOCHEA SOLSONA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SUSAN MCCOUCH, Dep. of Plant Breeding and Genetics, Cornell Univ., United States; NATALIA BERBERIAN, Universidad de la República (UdelaR)/ Facultad de Agronomía; SEBASTIÁN SIMONDI, College of Natural and Exact Sciences, Univ. Nacional de Cuyo, Argentina; MARIA VICTORIA BONNECARRERE MARTINEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Genome-wide association study using historical breeding populations discovers genomic regions involved in high-quality rice. |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
Plant Genome, 2018, Volume 11, Article number 170076. Open Access. |
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ISSN : |
1940-3372 |
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DOI : |
10.3835/plantgenome2017.08.0076 |
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Idioma : |
Inglés |
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Notas : |
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 for reuse unless it is derivative or for commercial purposes. |
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Contenido : |
Abstract.
Rice (Oryza sativa L.) is one of the most important staple food crops in the world; however, there has recently been a shift in consumer demand for higher grain quality. Therefore, understanding the genetic architecture of grain quality has become a key objective of rice breeding programs. Genomewide association studies (GWAS) using large diversity panels have successfully identified genomic regions associated with complex traits in diverse crop species. Our main objective was to identify genomic regions associated with grain quality and to identify and characterize favorable haplotypes for selection. We used two locally adapted rice breeding populations and historical phenotypic data for three rice quality traits: yield after milling, percentage of head rice recovery, and percentage of chalky grain. We detected 22 putative quantitative trait loci (QTL) in the same genomic regions as starch synthesis, starch metabolism, and cell wall synthesis-related genes are found. Additionally, we found a genomic region on chromosome 6 in the tropical japonica population that was associated with all quality traits and we identified favorable haplotypes. Furthermorethis region is linked to the OsBEI gene that codes for a starch branching enzyme I, which is implicated in starch granule formation. In tropical japonica, we also found two putative QTL linked to OsBEII, OsDEP1, and OsDEP2. Our study provides an insight into the genetic basis of rice grain chalkiness, yield after milling, and head rice, identifying favorable haplotypes and molecular markers for selection in breeding programs.
© 2018 Crop Science Society of America MenosAbstract.
Rice (Oryza sativa L.) is one of the most important staple food crops in the world; however, there has recently been a shift in consumer demand for higher grain quality. Therefore, understanding the genetic architecture of grain quality has become a key objective of rice breeding programs. Genomewide association studies (GWAS) using large diversity panels have successfully identified genomic regions associated with complex traits in diverse crop species. Our main objective was to identify genomic regions associated with grain quality and to identify and characterize favorable haplotypes for selection. We used two locally adapted rice breeding populations and historical phenotypic data for three rice quality traits: yield after milling, percentage of head rice recovery, and percentage of chalky grain. We detected 22 putative quantitative trait loci (QTL) in the same genomic regions as starch synthesis, starch metabolism, and cell wall synthesis-related genes are found. Additionally, we found a genomic region on chromosome 6 in the tropical japonica population that was associated with all quality traits and we identified favorable haplotypes. Furthermorethis region is linked to the OsBEI gene that codes for a starch branching enzyme I, which is implicated in starch granule formation. In tropical japonica, we also found two putative QTL linked to OsBEII, OsDEP1, and OsDEP2. Our study provides an insight into the genetic basis of rice grain chalkiness, yield after mil... Presentar Todo |
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Palabras claves : |
FOOD GRAIN; GENETIC SELECTION; GENETIC VARIATION; GENETICS; MILLED RICE; PLANT BREEDING. |
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Thesagro : |
ORYZA SATIVA; RICE. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12507/1/tpg-11-3-170076.pdf
https://dl.sciencesocieties.org/publications/tpg/abstracts/11/3/170076
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Marc : |
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245 $aGenome-wide association study using historical breeding populations discovers genomic regions involved in high-quality rice.$h[electronic resource]
260 $c2018
500 $aArticle 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 for reuse unless it is derivative or for commercial purposes.
520 $aAbstract. Rice (Oryza sativa L.) is one of the most important staple food crops in the world; however, there has recently been a shift in consumer demand for higher grain quality. Therefore, understanding the genetic architecture of grain quality has become a key objective of rice breeding programs. Genomewide association studies (GWAS) using large diversity panels have successfully identified genomic regions associated with complex traits in diverse crop species. Our main objective was to identify genomic regions associated with grain quality and to identify and characterize favorable haplotypes for selection. We used two locally adapted rice breeding populations and historical phenotypic data for three rice quality traits: yield after milling, percentage of head rice recovery, and percentage of chalky grain. We detected 22 putative quantitative trait loci (QTL) in the same genomic regions as starch synthesis, starch metabolism, and cell wall synthesis-related genes are found. Additionally, we found a genomic region on chromosome 6 in the tropical japonica population that was associated with all quality traits and we identified favorable haplotypes. Furthermorethis region is linked to the OsBEI gene that codes for a starch branching enzyme I, which is implicated in starch granule formation. In tropical japonica, we also found two putative QTL linked to OsBEII, OsDEP1, and OsDEP2. Our study provides an insight into the genetic basis of rice grain chalkiness, yield after milling, and head rice, identifying favorable haplotypes and molecular markers for selection in breeding programs. © 2018 Crop Science Society of America
650 $aORYZA SATIVA
650 $aRICE
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653 $aGENETIC SELECTION
653 $aGENETIC VARIATION
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773 $tPlant Genome, 2018, Volume 11, Article number 170076. Open Access.
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