Development, characterization and experimental validation of a cultivated sunflower (Helianthus annuus L.) gene expression oligonucleotide microarray

Autores
Fernandez, Paula Del Carmen; Soria, Marcelo Abel; Blesa, David; Di Rienzo, Julio A.; Moschen, Sebastian Nicolas; Rivarola, Maximo Lisandro; Clavijo, Bernardo; Gonzalez, Sergio; Peluffo, Lucila; Principi, Dario; Dosio, Guillermo; Aguirrezabal, Luis; García-García, Francisco; Conesa, Ana; Hopp, Horacio Esteban; Dopazo, Joaquín; Heinz, Ruth Amelia; Paniego, Norma Beatriz
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Oligonucleotide-based microarrays with accurate gene coverage represent a key strategy for transcriptional studies in orphan species such as sunflower, H. annuus L., which lacks full genome sequences. The goal of this study was the development and functional annotation of a comprehensive sunflower unigene collection and the design and validation of a custom sunflower oligonucleotide-based microarray. A large scale EST (>130,000 ESTs) curation, assembly and sequence annotation was performed using Blast2GO (www.blast2go.de). The EST assembly comprises 41,013 putative transcripts (12,924 contigs and 28,089 singletons). The resulting Sunflower Unigen Resource (SUR version 1.0) was used to design an oligonucleotide-based Agilent microarray for cultivated sunflower. This microarray includes a total of 42,326 features: 1,417 Agilent controls, 74 control probes for sunflower replicated 10 times (740 controls) and 40,169 different non-control probes. Microarray performance was validated using a model experiment examining the induction of senescence by water deficit. Pre-processing and differential expression analysis of Agilent microarrays was performed using the Bioconductor limma package. The analyses based on p-values calculated by eBayes (p<0.01) allowed the detection of 558 differentially expressed genes between water stress and control conditions; from these, ten genes were further validated by qPCR. Over-represented ontologies were identified using FatiScan in the Babelomics suite. This work generated a curated and trustable sunflower unigene collection, and a custom, validated sunflower oligonucleotide-based microarray using Agilent technology. Both the curated unigene collection and the validated oligonucleotide microarray provide key resources for sunflower genome analysis, transcriptional studies, and molecular breeding for crop improvement.
Instituto de Biotecnología
Fil: Fernandez, Paula Del Carmen. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina
Fil: Soria, Marcelo Abel. Universidad de Buenos Aires. Facultad de Agronomía; Argentina
Fil: Blesa, David. Centro de Investigación Príncipe Felipe. Departament of Bioinformatics and Genomics; España
Fil: Di Rienzo, Julio A. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina
Fil: Moschen, Sebastian Nicolas. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: Rivarola, Maximo Lisandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Clavijo, Bernardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: Gonzalez, Sergio. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Peluffo, Lucila. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Principi, Dario. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Dosio, Guillermo Aníbal Adrián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Aguirrezabal, Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: García-García, Francisco. Centro de Investigación Príncipe Felipe. Departament of Bioinformatics and Genomics; España
Fil: Conesa, Ana. Centro de Investigación Príncipe Felipe. Departament of Bioinformatics and Genomics; España
Fil: Hopp, Horacio Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Dopazo, Joaquín. Centro de Investigación Príncipe Felipe. Computational Genomics Department; España
Fil: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fuente
PLoS ONE 7 (10) : e45899 (Octubre 2012)
Materia
Helianthus annuus
Expresión Génica
Genómica
Transcripción
Gene Expression
Genomics
Transcription
Oligonucleotides
Sunflower
Oligonucleótidos
Girasol
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/8123
Acceder
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oai_identifier_str oai:localhost:20.500.12123/8123
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network_name_str INTA Digital (INTA)
spelling Development, characterization and experimental validation of a cultivated sunflower (Helianthus annuus L.) gene expression oligonucleotide microarrayFernandez, Paula Del CarmenSoria, Marcelo AbelBlesa, DavidDi Rienzo, Julio A.Moschen, Sebastian NicolasRivarola, Maximo LisandroClavijo, BernardoGonzalez, SergioPeluffo, LucilaPrincipi, DarioDosio, GuillermoAguirrezabal, LuisGarcía-García, FranciscoConesa, AnaHopp, Horacio EstebanDopazo, JoaquínHeinz, Ruth AmeliaPaniego, Norma BeatrizHelianthus annuusExpresión GénicaGenómicaTranscripciónGene ExpressionGenomicsTranscriptionOligonucleotidesSunflowerOligonucleótidosGirasolOligonucleotide-based microarrays with accurate gene coverage represent a key strategy for transcriptional studies in orphan species such as sunflower, H. annuus L., which lacks full genome sequences. The goal of this study was the development and functional annotation of a comprehensive sunflower unigene collection and the design and validation of a custom sunflower oligonucleotide-based microarray. A large scale EST (>130,000 ESTs) curation, assembly and sequence annotation was performed using Blast2GO (www.blast2go.de). The EST assembly comprises 41,013 putative transcripts (12,924 contigs and 28,089 singletons). The resulting Sunflower Unigen Resource (SUR version 1.0) was used to design an oligonucleotide-based Agilent microarray for cultivated sunflower. This microarray includes a total of 42,326 features: 1,417 Agilent controls, 74 control probes for sunflower replicated 10 times (740 controls) and 40,169 different non-control probes. Microarray performance was validated using a model experiment examining the induction of senescence by water deficit. Pre-processing and differential expression analysis of Agilent microarrays was performed using the Bioconductor limma package. The analyses based on p-values calculated by eBayes (p<0.01) allowed the detection of 558 differentially expressed genes between water stress and control conditions; from these, ten genes were further validated by qPCR. Over-represented ontologies were identified using FatiScan in the Babelomics suite. This work generated a curated and trustable sunflower unigene collection, and a custom, validated sunflower oligonucleotide-based microarray using Agilent technology. Both the curated unigene collection and the validated oligonucleotide microarray provide key resources for sunflower genome analysis, transcriptional studies, and molecular breeding for crop improvement.Instituto de BiotecnologíaFil: Fernandez, Paula Del Carmen. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; ArgentinaFil: Soria, Marcelo Abel. Universidad de Buenos Aires. Facultad de Agronomía; ArgentinaFil: Blesa, David. Centro de Investigación Príncipe Felipe. Departament of Bioinformatics and Genomics; EspañaFil: Di Rienzo, Julio A. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; ArgentinaFil: Moschen, Sebastian Nicolas. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Rivarola, Maximo Lisandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Clavijo, Bernardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Gonzalez, Sergio. Universidad de Buenos Aires. Facultad de Ingeniería; ArgentinaFil: Peluffo, Lucila. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Principi, Dario. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Dosio, Guillermo Aníbal Adrián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; ArgentinaFil: Aguirrezabal, Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; ArgentinaFil: García-García, Francisco. Centro de Investigación Príncipe Felipe. Departament of Bioinformatics and Genomics; EspañaFil: Conesa, Ana. Centro de Investigación Príncipe Felipe. Departament of Bioinformatics and Genomics; EspañaFil: Hopp, Horacio Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Dopazo, Joaquín. Centro de Investigación Príncipe Felipe. Computational Genomics Department; EspañaFil: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaPLOS One2020-10-23T17:35:21Z2020-10-23T17:35:21Z2012-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://journals.plos.org/plosone/article/authors?id=10.1371/journal.pone.0045899http://hdl.handle.net/20.500.12123/81231932-6203https://doi.org/10.1371/journal.pone.0045899PLoS ONE 7 (10) : e45899 (Octubre 2012)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-04T09:48:39Zoai:localhost:20.500.12123/8123instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:48:40.148INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Development, characterization and experimental validation of a cultivated sunflower (Helianthus annuus L.) gene expression oligonucleotide microarray
title Development, characterization and experimental validation of a cultivated sunflower (Helianthus annuus L.) gene expression oligonucleotide microarray
spellingShingle Development, characterization and experimental validation of a cultivated sunflower (Helianthus annuus L.) gene expression oligonucleotide microarray
Fernandez, Paula Del Carmen
Helianthus annuus
Expresión Génica
Genómica
Transcripción
Gene Expression
Genomics
Transcription
Oligonucleotides
Sunflower
Oligonucleótidos
Girasol
title_short Development, characterization and experimental validation of a cultivated sunflower (Helianthus annuus L.) gene expression oligonucleotide microarray
title_full Development, characterization and experimental validation of a cultivated sunflower (Helianthus annuus L.) gene expression oligonucleotide microarray
title_fullStr Development, characterization and experimental validation of a cultivated sunflower (Helianthus annuus L.) gene expression oligonucleotide microarray
title_full_unstemmed Development, characterization and experimental validation of a cultivated sunflower (Helianthus annuus L.) gene expression oligonucleotide microarray
title_sort Development, characterization and experimental validation of a cultivated sunflower (Helianthus annuus L.) gene expression oligonucleotide microarray
dc.creator.none.fl_str_mv Fernandez, Paula Del Carmen
Soria, Marcelo Abel
Blesa, David
Di Rienzo, Julio A.
Moschen, Sebastian Nicolas
Rivarola, Maximo Lisandro
Clavijo, Bernardo
Gonzalez, Sergio
Peluffo, Lucila
Principi, Dario
Dosio, Guillermo
Aguirrezabal, Luis
García-García, Francisco
Conesa, Ana
Hopp, Horacio Esteban
Dopazo, Joaquín
Heinz, Ruth Amelia
Paniego, Norma Beatriz
author Fernandez, Paula Del Carmen
author_facet Fernandez, Paula Del Carmen
Soria, Marcelo Abel
Blesa, David
Di Rienzo, Julio A.
Moschen, Sebastian Nicolas
Rivarola, Maximo Lisandro
Clavijo, Bernardo
Gonzalez, Sergio
Peluffo, Lucila
Principi, Dario
Dosio, Guillermo
Aguirrezabal, Luis
García-García, Francisco
Conesa, Ana
Hopp, Horacio Esteban
Dopazo, Joaquín
Heinz, Ruth Amelia
Paniego, Norma Beatriz
author_role author
author2 Soria, Marcelo Abel
Blesa, David
Di Rienzo, Julio A.
Moschen, Sebastian Nicolas
Rivarola, Maximo Lisandro
Clavijo, Bernardo
Gonzalez, Sergio
Peluffo, Lucila
Principi, Dario
Dosio, Guillermo
Aguirrezabal, Luis
García-García, Francisco
Conesa, Ana
Hopp, Horacio Esteban
Dopazo, Joaquín
Heinz, Ruth Amelia
Paniego, Norma Beatriz
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Helianthus annuus
Expresión Génica
Genómica
Transcripción
Gene Expression
Genomics
Transcription
Oligonucleotides
Sunflower
Oligonucleótidos
Girasol
topic Helianthus annuus
Expresión Génica
Genómica
Transcripción
Gene Expression
Genomics
Transcription
Oligonucleotides
Sunflower
Oligonucleótidos
Girasol
dc.description.none.fl_txt_mv Oligonucleotide-based microarrays with accurate gene coverage represent a key strategy for transcriptional studies in orphan species such as sunflower, H. annuus L., which lacks full genome sequences. The goal of this study was the development and functional annotation of a comprehensive sunflower unigene collection and the design and validation of a custom sunflower oligonucleotide-based microarray. A large scale EST (>130,000 ESTs) curation, assembly and sequence annotation was performed using Blast2GO (www.blast2go.de). The EST assembly comprises 41,013 putative transcripts (12,924 contigs and 28,089 singletons). The resulting Sunflower Unigen Resource (SUR version 1.0) was used to design an oligonucleotide-based Agilent microarray for cultivated sunflower. This microarray includes a total of 42,326 features: 1,417 Agilent controls, 74 control probes for sunflower replicated 10 times (740 controls) and 40,169 different non-control probes. Microarray performance was validated using a model experiment examining the induction of senescence by water deficit. Pre-processing and differential expression analysis of Agilent microarrays was performed using the Bioconductor limma package. The analyses based on p-values calculated by eBayes (p<0.01) allowed the detection of 558 differentially expressed genes between water stress and control conditions; from these, ten genes were further validated by qPCR. Over-represented ontologies were identified using FatiScan in the Babelomics suite. This work generated a curated and trustable sunflower unigene collection, and a custom, validated sunflower oligonucleotide-based microarray using Agilent technology. Both the curated unigene collection and the validated oligonucleotide microarray provide key resources for sunflower genome analysis, transcriptional studies, and molecular breeding for crop improvement.
Instituto de Biotecnología
Fil: Fernandez, Paula Del Carmen. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina
Fil: Soria, Marcelo Abel. Universidad de Buenos Aires. Facultad de Agronomía; Argentina
Fil: Blesa, David. Centro de Investigación Príncipe Felipe. Departament of Bioinformatics and Genomics; España
Fil: Di Rienzo, Julio A. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina
Fil: Moschen, Sebastian Nicolas. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: Rivarola, Maximo Lisandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Clavijo, Bernardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: Gonzalez, Sergio. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Peluffo, Lucila. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Principi, Dario. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Dosio, Guillermo Aníbal Adrián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Aguirrezabal, Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: García-García, Francisco. Centro de Investigación Príncipe Felipe. Departament of Bioinformatics and Genomics; España
Fil: Conesa, Ana. Centro de Investigación Príncipe Felipe. Departament of Bioinformatics and Genomics; España
Fil: Hopp, Horacio Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Dopazo, Joaquín. Centro de Investigación Príncipe Felipe. Computational Genomics Department; España
Fil: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Oligonucleotide-based microarrays with accurate gene coverage represent a key strategy for transcriptional studies in orphan species such as sunflower, H. annuus L., which lacks full genome sequences. The goal of this study was the development and functional annotation of a comprehensive sunflower unigene collection and the design and validation of a custom sunflower oligonucleotide-based microarray. A large scale EST (>130,000 ESTs) curation, assembly and sequence annotation was performed using Blast2GO (www.blast2go.de). The EST assembly comprises 41,013 putative transcripts (12,924 contigs and 28,089 singletons). The resulting Sunflower Unigen Resource (SUR version 1.0) was used to design an oligonucleotide-based Agilent microarray for cultivated sunflower. This microarray includes a total of 42,326 features: 1,417 Agilent controls, 74 control probes for sunflower replicated 10 times (740 controls) and 40,169 different non-control probes. Microarray performance was validated using a model experiment examining the induction of senescence by water deficit. Pre-processing and differential expression analysis of Agilent microarrays was performed using the Bioconductor limma package. The analyses based on p-values calculated by eBayes (p<0.01) allowed the detection of 558 differentially expressed genes between water stress and control conditions; from these, ten genes were further validated by qPCR. Over-represented ontologies were identified using FatiScan in the Babelomics suite. This work generated a curated and trustable sunflower unigene collection, and a custom, validated sunflower oligonucleotide-based microarray using Agilent technology. Both the curated unigene collection and the validated oligonucleotide microarray provide key resources for sunflower genome analysis, transcriptional studies, and molecular breeding for crop improvement.
publishDate 2012
dc.date.none.fl_str_mv 2012-10
2020-10-23T17:35:21Z
2020-10-23T17:35:21Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://journals.plos.org/plosone/article/authors?id=10.1371/journal.pone.0045899
http://hdl.handle.net/20.500.12123/8123
1932-6203
https://doi.org/10.1371/journal.pone.0045899
url https://journals.plos.org/plosone/article/authors?id=10.1371/journal.pone.0045899
http://hdl.handle.net/20.500.12123/8123
https://doi.org/10.1371/journal.pone.0045899
identifier_str_mv 1932-6203
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv PLOS One
publisher.none.fl_str_mv PLOS One
dc.source.none.fl_str_mv PLoS ONE 7 (10) : e45899 (Octubre 2012)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
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