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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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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
16/08/2019 |
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Actualizado : |
01/06/2020 |
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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 : |
VALLEJOS, M.; AGUIAR, S.; BALDI, G.; MASTRÁNGELO, M.E.; GALLEGO, F.; PACHECO-ROMERO, M; ALCARAZ-SEGURA, D.; PARUELO, J. |
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Afiliación : |
MARÍA VALLEJOS, Laboratorio de Análisis Regional y Teledetección,IFEVA, Facultad de Agronomía Universidad de Buenos Aires, CONICET./Departamento de Métodos Cuantitativos y Sistemas de Información// INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.; Laboratorio de Análisis Regional y Teledetección (LART), IFEVA, Facultad de Agronomía Universidad de Buenos Aires, CONICET Buenos Aires Argentina/Cátedra de Ecología, Facultad de Agronomía Universidad de Buenos AiresBuenos Aires Argentina.; Instituto de Matemática Aplicada San Luis Universidad Nacional de San Luis and CONICET San Luis Argentina.; Instituto de Matemática Aplicada San Luis Universidad Nacional de San Luis and CONICET San Luis Argentina.; Grupo de Ecología de Pastizales, Instituto de Ecología y Ciencias Ambientales Universidad de la República Montevideo Uruguay.; Departamento de Biología y Geología Universidad de Almería Almería Spain./Centro Andaluz para la Evaluación y Seguimiento del Cambio Global Universidad de Almería,Spain.; Centro Andaluz para la Evaluación y Seguimiento del Cambio Global Universidad de Almería,Spain./Departamen de Botánica, Facultad de Ciencias Universidad de Granad.// Interuniversitary Institute for Earth System Research (IISTA).; JOSÉ PARUELO, Laboratorio de Análisis Regional y Teledetección (LART),CONICET,Argentina/.Departamento de Métodos Cuantitativos y Sist./INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Social-ecological functional types: connecting people and ecosystems in the Argentine Chaco. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Ecosystems, 1 April 2020, Volume 23, Issue 3, Pages 471-484. Doi: https://doi.org/10.1007/s10021-019-00415-4 |
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ISSN : |
e-1435-0629 |
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DOI : |
10.1007/s10021-019-00415-4 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 10 January 2019// Accepted 21 June 2019//First Online 09 July 2019. |
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Contenido : |
Abstract:
Sustainability science recognizes the importance of the integrated assessment of the ecological and social systems in land-use planning. However, most studies so far have been conceptual rather than empirical. We developed a framework to characterize the social-ecological systems heterogeneity according to its functioning through the identification of social?ecological functional types (SEFT). The SEFT framework builds on the plant, ecosystem and agent functional type approaches, taking a step forward to integrate the dimensions of social?ecological systems into an operational product to characterize administrative units in a hierarchical way. To illustrate this novel framework, we described the heterogeneity of SEFT in the Argentine Chaco by clustering administrative entities. This area is a global deforestation hotspot and has diverse social actors that harness ecosystem services in multiple, and sometimes contrasting and conflictive, ways which determines an urgent need for land-use planning. We combined data from national census and remote sensing to identify SEFT by clustering census tracts based on 17 input variables that integrate key human, ecological and interaction processes across landscapes. We identified three classes and eight subclasses of SEFT. Ecological variables defined the first level of heterogeneity (classes), while human variables and the variables of interactions between the human and ecological components defined a second level of heterogeneity (subclasses). The degree of anthropization and mean annual productivity were important variables to explain the first two axes in the ordination (32% of the total variance). This framework offers a conceptually novel and comprehensive approach to understand the spatial heterogeneity of social?ecological systems functioning, which could play a pivotal role to support conservation or land-use planning in rural areas. MenosAbstract:
Sustainability science recognizes the importance of the integrated assessment of the ecological and social systems in land-use planning. However, most studies so far have been conceptual rather than empirical. We developed a framework to characterize the social-ecological systems heterogeneity according to its functioning through the identification of social?ecological functional types (SEFT). The SEFT framework builds on the plant, ecosystem and agent functional type approaches, taking a step forward to integrate the dimensions of social?ecological systems into an operational product to characterize administrative units in a hierarchical way. To illustrate this novel framework, we described the heterogeneity of SEFT in the Argentine Chaco by clustering administrative entities. This area is a global deforestation hotspot and has diverse social actors that harness ecosystem services in multiple, and sometimes contrasting and conflictive, ways which determines an urgent need for land-use planning. We combined data from national census and remote sensing to identify SEFT by clustering census tracts based on 17 input variables that integrate key human, ecological and interaction processes across landscapes. We identified three classes and eight subclasses of SEFT. Ecological variables defined the first level of heterogeneity (classes), while human variables and the variables of interactions between the human and ecological components defined a second level of heterogen... Presentar Todo |
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Palabras claves : |
FUNCTIONAL TYPES; HIERARCHICAL ANALYSIS; LAND-USE PLANNING; REMOTE SENSING; SENSORAMIENTO REMOTO; SISTEMAS SOCIALES-ECOLOGICOS; SOCIAL-ECOLOGICAL SYSTEMS. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 03027naa a2200325 a 4500
001 1060016
005 2020-06-01
008 2020 bl uuuu u00u1 u #d
022 $ae-1435-0629
024 7 $a10.1007/s10021-019-00415-4$2DOI
100 1 $aVALLEJOS, M.
245 $aSocial-ecological functional types$bconnecting people and ecosystems in the Argentine Chaco.$h[electronic resource]
260 $c2020
500 $aArticle history: Received 10 January 2019// Accepted 21 June 2019//First Online 09 July 2019.
520 $aAbstract: Sustainability science recognizes the importance of the integrated assessment of the ecological and social systems in land-use planning. However, most studies so far have been conceptual rather than empirical. We developed a framework to characterize the social-ecological systems heterogeneity according to its functioning through the identification of social?ecological functional types (SEFT). The SEFT framework builds on the plant, ecosystem and agent functional type approaches, taking a step forward to integrate the dimensions of social?ecological systems into an operational product to characterize administrative units in a hierarchical way. To illustrate this novel framework, we described the heterogeneity of SEFT in the Argentine Chaco by clustering administrative entities. This area is a global deforestation hotspot and has diverse social actors that harness ecosystem services in multiple, and sometimes contrasting and conflictive, ways which determines an urgent need for land-use planning. We combined data from national census and remote sensing to identify SEFT by clustering census tracts based on 17 input variables that integrate key human, ecological and interaction processes across landscapes. We identified three classes and eight subclasses of SEFT. Ecological variables defined the first level of heterogeneity (classes), while human variables and the variables of interactions between the human and ecological components defined a second level of heterogeneity (subclasses). The degree of anthropization and mean annual productivity were important variables to explain the first two axes in the ordination (32% of the total variance). This framework offers a conceptually novel and comprehensive approach to understand the spatial heterogeneity of social?ecological systems functioning, which could play a pivotal role to support conservation or land-use planning in rural areas.
653 $aFUNCTIONAL TYPES
653 $aHIERARCHICAL ANALYSIS
653 $aLAND-USE PLANNING
653 $aREMOTE SENSING
653 $aSENSORAMIENTO REMOTO
653 $aSISTEMAS SOCIALES-ECOLOGICOS
653 $aSOCIAL-ECOLOGICAL SYSTEMS
700 1 $aAGUIAR, S.
700 1 $aBALDI, G.
700 1 $aMASTRÁNGELO, M.E.
700 1 $aGALLEGO, F.
700 1 $aPACHECO-ROMERO, M
700 1 $aALCARAZ-SEGURA, D.
700 1 $aPARUELO, J.
773 $tEcosystems, 1 April 2020, Volume 23, Issue 3, Pages 471-484. Doi: https://doi.org/10.1007/s10021-019-00415-4
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INIA La Estanzuela (LE) |
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