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| Registros recuperados : 14 | |
| 1. |  | REBOLLO, I.; AGUILAR, I.; ROSAS, J.E. Comparison of conventional and GBLUP Genome-Wide Association mapping of cold tolerance in advanced rice breeding populations. [Abstract] + [Poster]. In: International Temperate Rice Conference (7., 2020, Pelotas, RS), Science & Innovation: feeding a world of 10 billion people: proceedings. Pelotas RS, Brasil, February 9-12, 2020. Brasília, DF : Embrapa, 2020.| Biblioteca(s): INIA Treinta y Tres. |
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| 4. | | SCHEFFEL, S.; REBOLLO, I.; PÉREZ DE VIDA, F.; ROSAS, J.E. Consolidating INIA's Rice Breeding Program Database, phase I: historical índica trials.[Abstract] + [Poster]. In: International Temperate Rice Conference (7., 2020, Pelotas, RS), Science & Innovation: feeding a world of 10 billion people: proceedings. Pelotas RS, Brasil, February 9-12, 2020. Brasília, DF : Embrapa, 2020.| Biblioteca(s): INIA Treinta y Tres. |
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| 5. | | SANDRO, P.; REBOLLO, I.; GAIERO, P.; VAIO, M.; VILARO, F.; SPERANZA, P. Diseño de microsatélites para Solanum commersonii a partir de información genómica. GGM 44 - COMUNICACIONES LIBRES - GGM. GENÓMICA Y GENÉTICA MOLECULAR 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. 276| Biblioteca(s): INIA Las Brujas. |
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| 6. | | 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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| 7. | | REBOLLO, I.; AGUILAR, I.; PÉREZ DE VIDA, F.; MOLINA, F.; GUTIÉRREZ, L.; ROSAS, J.E. Genotype by environment interaction characterization and its modeling with random regression to climatic variables in two rice breeding populations. Original article. Crop Science. 2023, Volume 63, Issue 4, Pages 2220-2240. https://doi.org/10.1002/csc2.21029 -- OPEN ACCESS. Article history: Received 21 November 2022, Accepted 10 May 2023, Published online 16 June 2023. -- Correspondence: Rosas, J.E.; INIA, Estación Experimental Treinta y Tres, Road 8 km 281, Treinta y Tres, Uruguay; email:jrosas@inia.org.uy...| Biblioteca(s): INIA Las Brujas. |
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| 8. | | ROSAS, J.E.; ALE, L.; REBOLLO, I.; SCHEFFEL, S.; AGUILAR, I.; MOLINA, F.; PÉREZ DE VIDA, F. Boosting INIA's Rice Breeding Program with molecular quantitative genetics approaches. [Abstract]. In: International Temperate Rice Conference (7., 2020, Pelotas, RS), Science & Innovation: feeding a world of 10 billion people: proceedings. Pelotas RS, Brasil, February 9-12, 2020. Brasília, DF : Embrapa, 2020.| Biblioteca(s): INIA Treinta y Tres. |
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| 9. | | REBOLLO, I.; SCHEFFEL, S.; IRIARTE, W.; BLANCO, P.H.; MOLINA, F.; PÉREZ DE VIDA, F.; ROSAS, J.E. Consolidación de los datos históricos del Programa de Mejoramiento Genético de Arroz en una base de datos. In: Terra, J. A.; Martínez, S.; Saravia, H.; Mesones, B.; Álvarez, O. (Eds.) Arroz 2020. Montevideo (UY): INIA, 2020. p. 5-8. (INIA Serie Técnica; 257)| Biblioteca(s): INIA Treinta y Tres. |
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| 10. | | 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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| 11. | | 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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| 12. | | REBOLLO, I.; SCHEFFEL, S.; BLANCO, P.H.; MOLINA, F.; MARTÍNEZ, S.; CARRACELAS, G.; PÉREZ DE VIDA, F.; ROSAS, J.E. Instituto Nacional de Investigación Agropecuaria (INIA) Rice Breeding Program Historical Dataset. [Dataset]. DRYAD Dataset, 2024. https://doi.org/10.5061/dryad.x69p8czn8 Correspondence author: Juan E. Rosas, email: jrosas@inia.org.uy -- Publication date: February 16, 2024. -- This dataset is embargoed and will be released when the associated article is published. Lists of files and downloads will become...| Biblioteca(s): INIA Las Brujas. |
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| 13. | | 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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| 14. | | 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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| Registros recuperados : 14 | |
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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
26/04/2023 |
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Actualizado : |
19/06/2023 |
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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 : |
REBOLLO, I.; SCHEFFEL, S.; BLANCO, P.H.; MOLINA, F.; MARTÍNEZ, S.; CARRACELAS, G.; AGUILAR, I.; PÉREZ DE VIDA, F.; ROSAS, J.E. |
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Afiliación : |
MARÍA INÉS REBOLLO PANUNCIO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Department of Statistics, College of Agriculture, Universidad de la República, Montevideo, Uruguay; SHEILA SCHEFFEL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Department of Statistics, College of Agriculture, Universidad de la República, Montevideo, Uruguay; PEDRO HORACIO BLANCO BARRAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FEDERICO MOLINA CASELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SEBASTIÁN MARTÍNEZ KOPP, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JULIO GONZALO CARRACELAS GARRIDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; IGNACIO AGUILAR GARCIA, 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; Department of Statistics, College of Agriculture, Universidad de la República, Montevideo, Uruguay. |
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Título : |
Consolidating twenty-three years of historical data from an irrigated subtropical rice breeding program in Uruguay. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Crop Science, 2023. https://doi.org/10.1002/csc2.20955 - [Article in Press]. |
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ISSN : |
1435-0653 |
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DOI : |
10.1002/csc2.20955 |
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Idioma : |
Inglés |
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Notas : |
Article history: First published 15 March 2023. -- Corresponding author: jrosas@inia.org.uy -- |
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Contenido : |
Breeding programs generate vast amount of data which are often scattered in separate files. This hinders the application of modern breeding tools such as multi-environment analyses and genomic selection. This research work describes the process of consolidating 23 years of phenotypic, pedigree, and genomic records from the Uruguayan national rice (Oryza sativa L.) breeding program, and the features and structure of the resulting database. Using a custom-made R code, we gathered all the available data from 1997 to 2020 corresponding to field trials, blast disease evaluation nurseries, laboratory analyses of milling and cooking quality, pedigree information, and genomic information for selected advanced breeding lines, and organized it into a relational database. Records of 996 trials in 12 locations over a span of 23 years, 91,636 field plots with information on 14 phenotypic variables, pedigree for 19,447 genotypes, and genomic information regarding 61,260 single nucleotide polymorphism (SNP) markers for 965 genotypes were recovered. The dataset is structured in trials, phenotypes, lines, genomic information, and SNP tables in an easy-to-access relational database, which will be a valuable resource for rice breeding. © 2023 American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America |
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Palabras claves : |
Breeding program; Breeding trials; Phenotypic data. |
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Thesagro : |
ORYZA SATIVA L. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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Marc : |
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001 1064059
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022 $a1435-0653
024 7 $a10.1002/csc2.20955$2DOI
100 1 $aREBOLLO, I.
245 $aConsolidating twenty-three years of historical data from an irrigated subtropical rice breeding program in Uruguay.$h[electronic resource]
260 $c2023
500 $aArticle history: First published 15 March 2023. -- Corresponding author: jrosas@inia.org.uy --
520 $aBreeding programs generate vast amount of data which are often scattered in separate files. This hinders the application of modern breeding tools such as multi-environment analyses and genomic selection. This research work describes the process of consolidating 23 years of phenotypic, pedigree, and genomic records from the Uruguayan national rice (Oryza sativa L.) breeding program, and the features and structure of the resulting database. Using a custom-made R code, we gathered all the available data from 1997 to 2020 corresponding to field trials, blast disease evaluation nurseries, laboratory analyses of milling and cooking quality, pedigree information, and genomic information for selected advanced breeding lines, and organized it into a relational database. Records of 996 trials in 12 locations over a span of 23 years, 91,636 field plots with information on 14 phenotypic variables, pedigree for 19,447 genotypes, and genomic information regarding 61,260 single nucleotide polymorphism (SNP) markers for 965 genotypes were recovered. The dataset is structured in trials, phenotypes, lines, genomic information, and SNP tables in an easy-to-access relational database, which will be a valuable resource for rice breeding. © 2023 American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America
650 $aORYZA SATIVA L
653 $aBreeding program
653 $aBreeding trials
653 $aPhenotypic data
700 1 $aSCHEFFEL, S.
700 1 $aBLANCO, P.H.
700 1 $aMOLINA, F.
700 1 $aMARTÍNEZ, S.
700 1 $aCARRACELAS, G.
700 1 $aAGUILAR, I.
700 1 $aPÉREZ DE VIDA, F.
700 1 $aROSAS, J.E.
773 $tCrop Science, 2023. https://doi.org/10.1002/csc2.20955 - [Article in Press].
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