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| Registros recuperados : 3 | |
| 2. |  | BRAZEIRO, A.; ACHKAR, M.; CANAVERO, A.; FAGÚNDEZ, C.; GONZÁLEZ, E.; GRELA, I.; LEZAMA, F.; MANEYRO, R.; BARTESAGHI, L.; CAMARGO, A.; CARREIRA, S.; COSTA, B.; NÚÑEZ, D.; DA ROSA, I.; TORANZA, C. Prioridad geográfica para la conservación de la biodiversidad terrestre de Uruguay. Montevideo (Uruguay): PDT, 2008. 45 p. Resumen Ejecutivo Proyecto PDT 32-26| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| 3. | | IBÁÑEZ, M.; MANTERO, C.; RABINOVICH, M.; CECCHETTO G.; BOLLAZZI, M.; CERDEIRAS, M.; RESQUÍN, F.; DA ROSA, G.; BENÍTEZ, V.; CAMARGO, A.; SERRENTINO, P. Grupo de investigación en deterioro y preservación de la madera. ln: Encuentro de Investigadores de la Región Noreste: Cerro Largo-Rivera-Tacuarembó, 1., 12 de agosto de 2016, Campus Interinstitucional de Tacuarembó, Tacuarembó. Libro de Resúmenes. Tacuarembó: UDELAR; INIA, 2016. p. 104| Biblioteca(s): INIA Tacuarembó. |
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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 : |
LEADER 02322naa a2200301 a 4500
001 1064059
005 2023-06-19
008 2023 bl uuuu u00u1 u #d
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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