Phenotyping sunflower genetic resources for Sclerotinia head rot response: assessing variability for disease resistance breeding

Autores
Filippi, Carla Valeria; Zubrzycki, Jeremias Enrique; Di Rienzo, Julio A.; Quiroz, Facundo Jose; Fusari, Corina Mariana; Alvarez, Daniel; Maringolo, Carla Andrea; Cordes, Diego Darío; Escande, Alberto; Hopp, Horacio Esteban; Heinz, Ruth Amelia; Lia, Veronica Viviana; Paniego, Norma Beatriz
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Sclerotinia head rot (SHR) is one of the most serious constraints to sunflower (Helianthus annuus L. var. macrocarpus) production worldwide. Here, we evaluated the response to SHR in a sunflower inbred panel from a large INTA germplasm collection, consisting of 137 inbred lines (ILs). Field trials were performed over five consecutive seasons using a twice-replicated randomized complete-block design. Disease incidence, disease severity, incubation period and area under disease progress curve for disease incidence and severity were determined after controlled inoculation with the pathogen. Statistical analysis using mixed-effect models detected significant differences among ILs for all variables (P<0.001). In addition, Principal Component Analysis (PCA) and distance based methods were used to classify the ILs according to their response to SHR, with ILs ALB2/5261 and 5383 emerging as the most resistant. Broad-sense heritability estimates ranged from 20.64% for disease severity to 10.58% for incubation period. The ample phenotypic variability of our collection, along with the moderate heritability estimates, highlight the importance of molecular breeding approaches to gain new insights into the genetic basis of sunflower resistance to SHR. The exhaustive phenotypic characterization presented here provides a reliable set of variables to comprehensively evaluate the disease and identifies two new sources of resistance to SHR.
Instituto de Biotecnología
Fil: Filippi, Carla Valeria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: Zubrzycki, Jeremias Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: Di Rienzo, Julio A. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina
Fil: Quiroz, Facundo Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Fusari, Corina Mariana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Max Planck Institute of Molecular Plant Physiology; Alemania
Fil: Alvarez, Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentina
Fil: Maringolo, Carla Andrea. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Cordes, Diego Darío. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentina
Fil: Escande, Alberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
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: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Lia, Veronica Viviana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fuente
Plant Disease 101 (11) : 1941-1948 (Noviembre 2017)
Materia
Helianthus annuus
Recursos Genéticos
Sclerotinia
Fenotipos
Fitomejoramiento
Resistencia Genética
Resistencia a la Enfermedad
Genetic Resources
Phenotypes
Plant Breeding
Genetic Resistance
Disease Resistance
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:20.500.12123/3979
Acceder
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oai_identifier_str oai:localhost:20.500.12123/3979
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Phenotyping sunflower genetic resources for Sclerotinia head rot response: assessing variability for disease resistance breedingFilippi, Carla ValeriaZubrzycki, Jeremias EnriqueDi Rienzo, Julio A.Quiroz, Facundo JoseFusari, Corina MarianaAlvarez, DanielMaringolo, Carla AndreaCordes, Diego DaríoEscande, AlbertoHopp, Horacio EstebanHeinz, Ruth AmeliaLia, Veronica VivianaPaniego, Norma BeatrizHelianthus annuusRecursos GenéticosSclerotiniaFenotiposFitomejoramientoResistencia GenéticaResistencia a la EnfermedadGenetic ResourcesPhenotypesPlant BreedingGenetic ResistanceDisease ResistanceGirasolSclerotinia head rot (SHR) is one of the most serious constraints to sunflower (Helianthus annuus L. var. macrocarpus) production worldwide. Here, we evaluated the response to SHR in a sunflower inbred panel from a large INTA germplasm collection, consisting of 137 inbred lines (ILs). Field trials were performed over five consecutive seasons using a twice-replicated randomized complete-block design. Disease incidence, disease severity, incubation period and area under disease progress curve for disease incidence and severity were determined after controlled inoculation with the pathogen. Statistical analysis using mixed-effect models detected significant differences among ILs for all variables (P<0.001). In addition, Principal Component Analysis (PCA) and distance based methods were used to classify the ILs according to their response to SHR, with ILs ALB2/5261 and 5383 emerging as the most resistant. Broad-sense heritability estimates ranged from 20.64% for disease severity to 10.58% for incubation period. The ample phenotypic variability of our collection, along with the moderate heritability estimates, highlight the importance of molecular breeding approaches to gain new insights into the genetic basis of sunflower resistance to SHR. The exhaustive phenotypic characterization presented here provides a reliable set of variables to comprehensively evaluate the disease and identifies two new sources of resistance to SHR.Instituto de BiotecnologíaFil: Filippi, Carla Valeria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Zubrzycki, Jeremias Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Di Rienzo, Julio A. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; ArgentinaFil: Quiroz, Facundo Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; ArgentinaFil: Fusari, Corina Mariana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Max Planck Institute of Molecular Plant Physiology; AlemaniaFil: Alvarez, Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; ArgentinaFil: Maringolo, Carla Andrea. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; ArgentinaFil: Cordes, Diego Darío. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; ArgentinaFil: Escande, Alberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; ArgentinaFil: Hopp, Horacio Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Lia, Veronica Viviana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaThe American Phytopathological Society2018-11-28T11:07:38Z2018-11-28T11:07:38Z2017-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/3979https://apsjournals.apsnet.org/doi/abs/10.1094/PDIS-12-16-1784-RE1943-7692https://doi.org/10.1094/PDIS-12-16-1784-REPlant Disease 101 (11) : 1941-1948 (Noviembre 2017)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/PNBIO/1131042/AR./Genómica aplicada al mejoramiento molecular.info:eu-repograntAgreement/INTA/PNBIO/1131043/AR./Bioinformática y Estadística Genómica.info: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)2025-09-29T13:44:30Zoai:localhost:20.500.12123/3979instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:30.972INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Phenotyping sunflower genetic resources for Sclerotinia head rot response: assessing variability for disease resistance breeding
title Phenotyping sunflower genetic resources for Sclerotinia head rot response: assessing variability for disease resistance breeding
spellingShingle Phenotyping sunflower genetic resources for Sclerotinia head rot response: assessing variability for disease resistance breeding
Filippi, Carla Valeria
Helianthus annuus
Recursos Genéticos
Sclerotinia
Fenotipos
Fitomejoramiento
Resistencia Genética
Resistencia a la Enfermedad
Genetic Resources
Phenotypes
Plant Breeding
Genetic Resistance
Disease Resistance
Girasol
title_short Phenotyping sunflower genetic resources for Sclerotinia head rot response: assessing variability for disease resistance breeding
title_full Phenotyping sunflower genetic resources for Sclerotinia head rot response: assessing variability for disease resistance breeding
title_fullStr Phenotyping sunflower genetic resources for Sclerotinia head rot response: assessing variability for disease resistance breeding
title_full_unstemmed Phenotyping sunflower genetic resources for Sclerotinia head rot response: assessing variability for disease resistance breeding
title_sort Phenotyping sunflower genetic resources for Sclerotinia head rot response: assessing variability for disease resistance breeding
dc.creator.none.fl_str_mv Filippi, Carla Valeria
Zubrzycki, Jeremias Enrique
Di Rienzo, Julio A.
Quiroz, Facundo Jose
Fusari, Corina Mariana
Alvarez, Daniel
Maringolo, Carla Andrea
Cordes, Diego Darío
Escande, Alberto
Hopp, Horacio Esteban
Heinz, Ruth Amelia
Lia, Veronica Viviana
Paniego, Norma Beatriz
author Filippi, Carla Valeria
author_facet Filippi, Carla Valeria
Zubrzycki, Jeremias Enrique
Di Rienzo, Julio A.
Quiroz, Facundo Jose
Fusari, Corina Mariana
Alvarez, Daniel
Maringolo, Carla Andrea
Cordes, Diego Darío
Escande, Alberto
Hopp, Horacio Esteban
Heinz, Ruth Amelia
Lia, Veronica Viviana
Paniego, Norma Beatriz
author_role author
author2 Zubrzycki, Jeremias Enrique
Di Rienzo, Julio A.
Quiroz, Facundo Jose
Fusari, Corina Mariana
Alvarez, Daniel
Maringolo, Carla Andrea
Cordes, Diego Darío
Escande, Alberto
Hopp, Horacio Esteban
Heinz, Ruth Amelia
Lia, Veronica Viviana
Paniego, Norma Beatriz
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Helianthus annuus
Recursos Genéticos
Sclerotinia
Fenotipos
Fitomejoramiento
Resistencia Genética
Resistencia a la Enfermedad
Genetic Resources
Phenotypes
Plant Breeding
Genetic Resistance
Disease Resistance
Girasol
topic Helianthus annuus
Recursos Genéticos
Sclerotinia
Fenotipos
Fitomejoramiento
Resistencia Genética
Resistencia a la Enfermedad
Genetic Resources
Phenotypes
Plant Breeding
Genetic Resistance
Disease Resistance
Girasol
dc.description.none.fl_txt_mv Sclerotinia head rot (SHR) is one of the most serious constraints to sunflower (Helianthus annuus L. var. macrocarpus) production worldwide. Here, we evaluated the response to SHR in a sunflower inbred panel from a large INTA germplasm collection, consisting of 137 inbred lines (ILs). Field trials were performed over five consecutive seasons using a twice-replicated randomized complete-block design. Disease incidence, disease severity, incubation period and area under disease progress curve for disease incidence and severity were determined after controlled inoculation with the pathogen. Statistical analysis using mixed-effect models detected significant differences among ILs for all variables (P<0.001). In addition, Principal Component Analysis (PCA) and distance based methods were used to classify the ILs according to their response to SHR, with ILs ALB2/5261 and 5383 emerging as the most resistant. Broad-sense heritability estimates ranged from 20.64% for disease severity to 10.58% for incubation period. The ample phenotypic variability of our collection, along with the moderate heritability estimates, highlight the importance of molecular breeding approaches to gain new insights into the genetic basis of sunflower resistance to SHR. The exhaustive phenotypic characterization presented here provides a reliable set of variables to comprehensively evaluate the disease and identifies two new sources of resistance to SHR.
Instituto de Biotecnología
Fil: Filippi, Carla Valeria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: Zubrzycki, Jeremias Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: Di Rienzo, Julio A. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina
Fil: Quiroz, Facundo Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Fusari, Corina Mariana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Max Planck Institute of Molecular Plant Physiology; Alemania
Fil: Alvarez, Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentina
Fil: Maringolo, Carla Andrea. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Cordes, Diego Darío. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentina
Fil: Escande, Alberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
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: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Lia, Veronica Viviana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Sclerotinia head rot (SHR) is one of the most serious constraints to sunflower (Helianthus annuus L. var. macrocarpus) production worldwide. Here, we evaluated the response to SHR in a sunflower inbred panel from a large INTA germplasm collection, consisting of 137 inbred lines (ILs). Field trials were performed over five consecutive seasons using a twice-replicated randomized complete-block design. Disease incidence, disease severity, incubation period and area under disease progress curve for disease incidence and severity were determined after controlled inoculation with the pathogen. Statistical analysis using mixed-effect models detected significant differences among ILs for all variables (P<0.001). In addition, Principal Component Analysis (PCA) and distance based methods were used to classify the ILs according to their response to SHR, with ILs ALB2/5261 and 5383 emerging as the most resistant. Broad-sense heritability estimates ranged from 20.64% for disease severity to 10.58% for incubation period. The ample phenotypic variability of our collection, along with the moderate heritability estimates, highlight the importance of molecular breeding approaches to gain new insights into the genetic basis of sunflower resistance to SHR. The exhaustive phenotypic characterization presented here provides a reliable set of variables to comprehensively evaluate the disease and identifies two new sources of resistance to SHR.
publishDate 2017
dc.date.none.fl_str_mv 2017-11
2018-11-28T11:07:38Z
2018-11-28T11:07:38Z
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 http://hdl.handle.net/20.500.12123/3979
https://apsjournals.apsnet.org/doi/abs/10.1094/PDIS-12-16-1784-RE
1943-7692
https://doi.org/10.1094/PDIS-12-16-1784-RE
url http://hdl.handle.net/20.500.12123/3979
https://apsjournals.apsnet.org/doi/abs/10.1094/PDIS-12-16-1784-RE
https://doi.org/10.1094/PDIS-12-16-1784-RE
identifier_str_mv 1943-7692
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repograntAgreement/INTA/PNBIO/1131042/AR./Genómica aplicada al mejoramiento molecular.
info:eu-repograntAgreement/INTA/PNBIO/1131043/AR./Bioinformática y Estadística Genómica.
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
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 The American Phytopathological Society
publisher.none.fl_str_mv The American Phytopathological Society
dc.source.none.fl_str_mv Plant Disease 101 (11) : 1941-1948 (Noviembre 2017)
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
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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