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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 : |
30/05/2023 |
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Actualizado : |
30/05/2023 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
TONUSSI, R.L.; SILVA, R.M.O.; MAGALHÃES, A.F.B.; PERIPOLLI , E.; OLIVIERI, B.F.; FEITOSA, F.L.B.; PEREIR, A.S.C.; LÔBO, R.B.; MAGNABOSCO, C.U.; AGUILAR, I.; BALDI, F. |
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Afiliación : |
R. L. TONUSSI, Sao Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences (FCAV), Department of Animal Science, Jaboticabal, Brazil; R. M. O. SILVA, Sao Paulo State University - FCAV/UNESP, Jaboticabal, Brazil; A. F. B. MAGALHÃES, Sao Paulo State University - FCAV/UNESP, Jaboticabal, Brazil; E. PERIPOLLI, Sao Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences (FCAV), Department of Animal Science, Jaboticabal, Brazil; B. F. OLIVIERI, Sao Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences (FCAV), Department of Animal Science, Jaboticabal, Brazil; F. L. B. FEITOSA, Sao Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences (FCAV), Department of Animal Science, Jaboticabal, Brazil; A. S. C. PEREIRA, University of Sao Paulo (USP), School of Veterinary Medicine and Animal Science (FMVZ), Department of Animal Science (VNP), Pirassununga, Brazil; R. B. LÔBO, National Association of Breeders and Researchers - ANCP, Ribeirão Preto, Brazil; C. U. MAGNABOSCO, Brazilian Agricultural Research Corporation - EMBRAPA, Brasília, Brazil; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO BALDI, Sao Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences (FCAV), Department of Animal Science, Jaboticabal, Brazil. |
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Título : |
Impact of multiple sire mating system on the accuracy of genomic breeding value prediction in a beef cattle population under selection . [abstract 206]. |
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Complemento del título : |
Issue Section: Breeding and Genetics. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
Journal of Animal Science. 2017, Volume 95, Issue Supplement 4, Page 102. https://doi.org/10.2527/asasann.2017.206 |
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ISSN : |
1525-3163 |
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DOI : |
10.2527/asasann.2017.206 |
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Idioma : |
Inglés |
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Notas : |
Article history: Published 01 August 2017. -- |
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Contenido : |
The objective of this study was to investigate the application of BLUP and ssGBLUP in different scenarios of uncertain paternity using data from a Nellore cattle population. The analyzed data set was provided by the National Association of Farmers and Researchers (ANCP). The data set contained information from 18 Nellore herds located in the southeast and mid-west regions of Brazil, which participate in the ANCP breeding program. © American Society of Animal Science 2017 |
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Palabras claves : |
Genetic evaluation; Missing pedigree; Uncertain paternity. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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Marc : |
LEADER 01517nam a2200301 a 4500
001 1064172
005 2023-05-30
008 2017 bl uuuu u01u1 u #d
022 $a1525-3163
024 7 $a10.2527/asasann.2017.206$2DOI
100 1 $aTONUSSI, R.L.
245 $aImpact of multiple sire mating system on the accuracy of genomic breeding value prediction in a beef cattle population under selection . [abstract 206].$h[electronic resource]
260 $aJournal of Animal Science. 2017, Volume 95, Issue Supplement 4, Page 102. https://doi.org/10.2527/asasann.2017.206$c2017
500 $aArticle history: Published 01 August 2017. --
520 $aThe objective of this study was to investigate the application of BLUP and ssGBLUP in different scenarios of uncertain paternity using data from a Nellore cattle population. The analyzed data set was provided by the National Association of Farmers and Researchers (ANCP). The data set contained information from 18 Nellore herds located in the southeast and mid-west regions of Brazil, which participate in the ANCP breeding program. © American Society of Animal Science 2017
653 $aGenetic evaluation
653 $aMissing pedigree
653 $aUncertain paternity
700 1 $aSILVA, R.M.O.
700 1 $aMAGALHÃES, A.F.B.
700 1 $aPERIPOLLI , E.
700 1 $aOLIVIERI, B.F.
700 1 $aFEITOSA, F.L.B.
700 1 $aPEREIR, A.S.C.
700 1 $aLÔBO, R.B.
700 1 $aMAGNABOSCO, C.U.
700 1 $aAGUILAR, I.
700 1 $aBALDI, F.
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Registro original : |
INIA Las Brujas (LB) |
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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 : |
26/04/2023 |
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Tipo de producción científica : |
Artículos Indexados |
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Autor : |
REBOLLO, I.; SCHEFFEL, S.; BLANCO, P.H.; MOLINA, F.; MARTÍNEZ, S.; CARRACELAS, G.; PÉREZ DE VIDA, F.; ROSAS, J.E. |
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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. |
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Título : |
Instituto Nacional de Investigación Agropecuaria (INIA) Rice Breeding Program Historical Dataset. [Dataset]. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
DRYAD Dataset, 2024. https://doi.org/10.5061/dryad.x69p8czn8 |
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DOI : |
10.5061/dryad.x69p8czn8 |
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Idioma : |
Inglés |
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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. |
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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 |
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Palabras claves : |
Agricultural sciences; Agronomic performance; Breeding trials; Disease phenotype; Genotypic data; Genotyping by sequencing (GBS); Grain yield; Phenotypic data; Rice Breeding Program; SNP; Temperate region. |
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Thesagro : |
ORYZA SATIVA L; URUGUAY. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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URL : |
https://datadryad.org/stash/dataset/doi:10.5061/dryad.x69p8czn8
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Marc : |
LEADER 02599naa a2200385 a 4500
001 1064058
005 2023-04-26
008 2023 bl uuuu u00u1 u #d
024 7 $a10.5061/dryad.x69p8czn8$2DOI
100 1 $aREBOLLO, I.
245 $aInstituto Nacional de Investigación Agropecuaria (INIA) Rice Breeding Program Historical Dataset. [Dataset].$h[electronic resource]
260 $c2023
500 $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.
520 $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
650 $aORYZA SATIVA L
650 $aURUGUAY
653 $aAgricultural sciences
653 $aAgronomic performance
653 $aBreeding trials
653 $aDisease phenotype
653 $aGenotypic data
653 $aGenotyping by sequencing (GBS)
653 $aGrain yield
653 $aPhenotypic data
653 $aRice Breeding Program
653 $aSNP
653 $aTemperate region
700 1 $aSCHEFFEL, S.
700 1 $aBLANCO, P.H.
700 1 $aMOLINA, F.
700 1 $aMARTÍNEZ, S.
700 1 $aCARRACELAS, G.
700 1 $aPÉREZ DE VIDA, F.
700 1 $aROSAS, J.E.
773 $tDRYAD Dataset, 2024. https://doi.org/10.5061/dryad.x69p8czn8
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