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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
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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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 : |
24/09/2021 |
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Actualizado : |
24/09/2021 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
MARQUES, C. B.; CIAPPESONI, G.; VELAZCO, J.I.; NAVAJAS, E.; FERREIRA, G.; RAMOS, Z.; ROVIRA, F.; DE BARBIERI, I. |
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Afiliación : |
CAMILA BALCONI MARQUES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS GABRIEL CIAPPESONI SCARONE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ IGNACIO VELAZCO DE LOS REYES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ELLY ANA NAVAJAS VALENTINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GRACIALDA FERREIRA DE FERREIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ZULLY MARGOT RAMOS ALVEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO ROVIRA GALARRAGA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUIS IGNACIO DE BARBIERI ETCHEBERRY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Evaluation of different models to define a more suitable residual feed intake estimation in sheep. [Abstract]. |
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Complemento del título : |
EAAP - 72nd Annual Meeting, Davos, Switzerland. Session 01, Theatre 9. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
In: Annual Meeting of the European Federation of Animal Science (EAAP), 72., 30 August - 3 September 2021, Davos, Switzerland. Book of abstracts. Wageningen, NL: WAP, 2021. p.115. doi: https://doi.org/10.3920/978-90-8686-918-3 |
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ISBN : |
978-90-8686-366-2; e-ISBN: 978-90-8686-918-3 |
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ISSN : |
1382-6077 |
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Idioma : |
Inglés |
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Notas : |
Conference website: www.eaap2021.org |
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Contenido : |
Residual feed intake (RFI) is the difference between an animal?s actual feed intake (FI) and its expected feed intake based on its size and growth or level of production. There is a lack of studies investigating the incidence of wool growth in the RFI estimation. This study aimed to compare different models for the estimation of RFI in Merino
lambs, based on data of 577 animals, born in 2018 and 2019, sired by 16 rams. |
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Palabras claves : |
Merino sheep; Residual feed intake (RFI). |
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Asunto categoría : |
L01 Ganadería |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15981/1/Marques-EAAP-2021.pdf
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Marc : |
LEADER 01345nam a2200241 a 4500
001 1062403
005 2021-09-24
008 2021 bl uuuu u01u1 u #d
022 $a1382-6077
100 1 $aMARQUES, C. B.
245 $aEvaluation of different models to define a more suitable residual feed intake estimation in sheep. [Abstract].$h[electronic resource]
260 $aIn: Annual Meeting of the European Federation of Animal Science (EAAP), 72., 30 August - 3 September 2021, Davos, Switzerland. Book of abstracts. Wageningen, NL: WAP, 2021. p.115. doi: https://doi.org/10.3920/978-90-8686-918-3$c8686
500 $aConference website: www.eaap2021.org
520 $aResidual feed intake (RFI) is the difference between an animal?s actual feed intake (FI) and its expected feed intake based on its size and growth or level of production. There is a lack of studies investigating the incidence of wool growth in the RFI estimation. This study aimed to compare different models for the estimation of RFI in Merino lambs, based on data of 577 animals, born in 2018 and 2019, sired by 16 rams.
653 $aMerino sheep
653 $aResidual feed intake (RFI)
700 1 $aCIAPPESONI, G.
700 1 $aVELAZCO, J.I.
700 1 $aNAVAJAS, E.
700 1 $aFERREIRA, G.
700 1 $aRAMOS, Z.
700 1 $aROVIRA, F.
700 1 $aDE BARBIERI, I.
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