02599naa a2200385 a 450000100080000000500110000800800410001902400330006010000160009324501370010926000090024650004990025552009990075465000190175365000120177265300260178465300260181065300200183665300220185665300190187865300350189765300160193265300200194865300260196865300080199465300210200270000170202370000170204070000150205770000180207270000190209070000230210970000160213277300650214810640582023-04-26       2023    bl uuuu     u00u1 u    #d7 a10.5061/dryad.x69p8czn82DOI1 aREBOLLO, I.  aInstituto Nacional de Investigación Agropecuaria (INIA) Rice Breeding Program Historical Dataset. [Dataset].h[electronic resource]  c2023  aCorrespondence 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.  aBreeding 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  aORYZA SATIVA L  aURUGUAY  aAgricultural sciences  aAgronomic performance  aBreeding trials  aDisease phenotype  aGenotypic data  aGenotyping by sequencing (GBS)  aGrain yield  aPhenotypic data  aRice Breeding Program  aSNP  aTemperate region1 aSCHEFFEL, S.1 aBLANCO, P.H.1 aMOLINA, F.1 aMARTÍNEZ, S.1 aCARRACELAS, G.1 aPÉREZ DE VIDA, F.1 aROSAS, J.E.  tDRYAD Dataset, 2024. https://doi.org/10.5061/dryad.x69p8czn8