Fecha/hora: 03/06/2024 14:35:43

Biblioteca(s): | INIA Las Brujas.
Tipo de la producción científica: | Artículos Indexados
Fecha corriente: | 26/04/2023
Fecha de la última actualización: | 26/04/2023
Autoria: | REBOLLO, I.; SCHEFFEL, S.; BLANCO, P.H.; MOLINA, F.; MARTÍNEZ, S.; CARRACELAS, G.; PÉREZ DE VIDA, F.; ROSAS, J.E.
Afiliación: | MARÍA INÉS REBOLLO PANUNCIO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SHEILA SCHEFFEL, INIA (Instituto Nacional de Investigación Agropecuaria), 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; FERNANDO BLAS PEREZ DE VIDA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN EDUARDO ROSAS CAISSIOLS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.
Título: | Instituto Nacional de Investigación Agropecuaria (INIA) Rice Breeding Program Historical Dataset. [Dataset].
Año de publicación: | 2023
Fuente/Imprenta: | DRYAD Dataset, 2024. https://doi.org/10.5061/dryad.x69p8czn8
DOI: | 10.5061/dryad.x69p8czn8
Idioma: | Inglés
Notas: | 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 available to the public when released. -- FUNDING: Agencia Nacional de Investigación e Innovación, Award: FSDA_1_2018_1_154120; Instituto Nacional de Investigación Agropecuaria, Award: AZ13; Instituto Nacional de Investigación Agropecuaria, Award: AZ35.
Contenido: | Breeding programs generate vast amounts 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 dataset is the result of consolidating 23 years of phenotypic, pedigree, and genomic records from the Uruguayan national rice breeding program. All the available data from 1997 to 2020 corresponding to field trials, blast nurseries, laboratory analyses of milling and cooking quality, pedigree information, and genomic information for selected advanced breeding lines are gathered. 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 SNP markers for 965 genotypes were recovered. The dataset is structured in Trials, Phenotypes, Lines, Genomic Information, and SNP Tables. Genotype identification has been coded. Copyright (c) 2023 Dryad
Palabras-Clave: | Agricultural sciences; Agronomic performance; Breeding trials; Disease phenotype; Genotypic data; Genotyping by sequencing (GBS); Grain yield; Phenotypic data; Rice Breeding Program; SNP; Temperate region.
Thesagro: | ORYZA SATIVA L; URUGUAY.
Categoría del tema: | F30 Genética vegetal y fitomejoramiento
URL: | https://datadryad.org/stash/dataset/doi:10.5061/dryad.x69p8czn8
Registro original: | INIA Las Brujas (LB)
Ejemplares: | LB - (103405-1) - PXI - AP - DD - DRYAD/dataset/2024 -  -  - DIS