Detection of genotypes with multiple disease resistance in argentinean maize germplasm

Autores
Kistner, María Belén; Nazar, L.; Montenegro, L.; Cervigni, Gerardo Domingo Lucio; Galdeano, Ernestina; Iglesias, J.
Año de publicación
2021
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Maize (Zea mays L.) is usually affected by multiple co-occurring pathogens. Therefore, selection of multiple disease resistance (MDR) is becoming a necessary area of research. In this study, we aimed to reveal genotypes with MDR in the Argentine public inbred maize collection and to determine the best selection strategy for their identification. We evaluated 87 Argentinean inbred lines for their response to four foliar diseases: common rust (CR), northern corn leaf blight (NCLB), southern corn leaf blight (SCLB) and bacterial leaf streak (BLS) in up to five environments of Argentina. All diseases were evaluated using a 1-5 scale, where 1=highly resistant and 5=highly susceptible. Phenotypic data was analyzed using mixed models to obtain the BLUP (best linear unbiased predictors) of genotypes. We assayed four strategies for multi-trait selection: MDR variable, Elston index, principal component analysis (PCA), and Factor analysis and ideotype-design. Then, we compared them based on their efficiency and genetic gain. Our results showed that the panel of genotypes was plenty of genotypes resistant to CR and BLS, while resistant genotypes to NCLB and SCLB were scarce. We obtained significant genotypic variation and high heritability (H2>0.82) for all disease resistances, indicating that selection can be performed with a high efficiency for all of them. We found twelve genotypes resistant to all diseases in the panel of genotypes. The PCA showed the highest efficiency for selecting those genotypes (92%) and presented an average genetic gain of 19%. Our findings will benefit breeders for strengthening broad-spectrum resistance in temperate breeding programs, as well for the study of MDR.
Fil: Kistner, María Belén. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria Pergamino; Argentina
Fil: Nazar, L.. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Bioinvestigaciones (Sede Pergamino); Argentina
Fil: Montenegro, L.. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Bioinvestigaciones (Sede Pergamino); Argentina
Fil: Cervigni, Gerardo Domingo Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro de Estudios Fotosintéticos y Bioquímicos. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Centro de Estudios Fotosintéticos y Bioquímicos; Argentina
Fil: Galdeano, Ernestina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Botánica del Nordeste. Universidad Nacional del Nordeste. Facultad de Ciencias Agrarias. Instituto de Botánica del Nordeste; Argentina
Fil: Iglesias, J.. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Bioinvestigaciones (Sede Pergamino); Argentina
5to Congreso Argentino de Fitopatología; 59th Meeting of the APS Caribbean Division
Corrientes
Argentina
Asociación Argentina de Fitopatólogos
American Phytopathological Society
Materia
Zea mays
Resistencia multiple
Germoplasma
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/211369
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/211369
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Detection of genotypes with multiple disease resistance in argentinean maize germplasmKistner, María BelénNazar, L.Montenegro, L.Cervigni, Gerardo Domingo LucioGaldeano, ErnestinaIglesias, J.Zea maysResistencia multipleGermoplasmahttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Maize (Zea mays L.) is usually affected by multiple co-occurring pathogens. Therefore, selection of multiple disease resistance (MDR) is becoming a necessary area of research. In this study, we aimed to reveal genotypes with MDR in the Argentine public inbred maize collection and to determine the best selection strategy for their identification. We evaluated 87 Argentinean inbred lines for their response to four foliar diseases: common rust (CR), northern corn leaf blight (NCLB), southern corn leaf blight (SCLB) and bacterial leaf streak (BLS) in up to five environments of Argentina. All diseases were evaluated using a 1-5 scale, where 1=highly resistant and 5=highly susceptible. Phenotypic data was analyzed using mixed models to obtain the BLUP (best linear unbiased predictors) of genotypes. We assayed four strategies for multi-trait selection: MDR variable, Elston index, principal component analysis (PCA), and Factor analysis and ideotype-design. Then, we compared them based on their efficiency and genetic gain. Our results showed that the panel of genotypes was plenty of genotypes resistant to CR and BLS, while resistant genotypes to NCLB and SCLB were scarce. We obtained significant genotypic variation and high heritability (H2>0.82) for all disease resistances, indicating that selection can be performed with a high efficiency for all of them. We found twelve genotypes resistant to all diseases in the panel of genotypes. The PCA showed the highest efficiency for selecting those genotypes (92%) and presented an average genetic gain of 19%. Our findings will benefit breeders for strengthening broad-spectrum resistance in temperate breeding programs, as well for the study of MDR.Fil: Kistner, María Belén. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria Pergamino; ArgentinaFil: Nazar, L.. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Bioinvestigaciones (Sede Pergamino); ArgentinaFil: Montenegro, L.. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Bioinvestigaciones (Sede Pergamino); ArgentinaFil: Cervigni, Gerardo Domingo Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro de Estudios Fotosintéticos y Bioquímicos. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Centro de Estudios Fotosintéticos y Bioquímicos; ArgentinaFil: Galdeano, Ernestina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Botánica del Nordeste. Universidad Nacional del Nordeste. Facultad de Ciencias Agrarias. Instituto de Botánica del Nordeste; ArgentinaFil: Iglesias, J.. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Bioinvestigaciones (Sede Pergamino); Argentina5to Congreso Argentino de Fitopatología; 59th Meeting of the APS Caribbean DivisionCorrientesArgentinaAsociación Argentina de FitopatólogosAmerican Phytopathological SocietyAsociación Argentina de Fitopatólogos2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectCongresoBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/211369Detection of genotypes with multiple disease resistance in argentinean maize germplasm; 5to Congreso Argentino de Fitopatología; 59th Meeting of the APS Caribbean Division; Corrientes; Argentina; 2021; 374-374CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://aafitopatologos.com.ar/wp/wp-content/uploads/2021/11/Libro-de-Res%C3%BAmenes-5%C2%BACAF-Final.pdfNacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:35:45Zoai:ri.conicet.gov.ar:11336/211369instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:35:45.816CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Detection of genotypes with multiple disease resistance in argentinean maize germplasm
title Detection of genotypes with multiple disease resistance in argentinean maize germplasm
spellingShingle Detection of genotypes with multiple disease resistance in argentinean maize germplasm
Kistner, María Belén
Zea mays
Resistencia multiple
Germoplasma
title_short Detection of genotypes with multiple disease resistance in argentinean maize germplasm
title_full Detection of genotypes with multiple disease resistance in argentinean maize germplasm
title_fullStr Detection of genotypes with multiple disease resistance in argentinean maize germplasm
title_full_unstemmed Detection of genotypes with multiple disease resistance in argentinean maize germplasm
title_sort Detection of genotypes with multiple disease resistance in argentinean maize germplasm
dc.creator.none.fl_str_mv Kistner, María Belén
Nazar, L.
Montenegro, L.
Cervigni, Gerardo Domingo Lucio
Galdeano, Ernestina
Iglesias, J.
author Kistner, María Belén
author_facet Kistner, María Belén
Nazar, L.
Montenegro, L.
Cervigni, Gerardo Domingo Lucio
Galdeano, Ernestina
Iglesias, J.
author_role author
author2 Nazar, L.
Montenegro, L.
Cervigni, Gerardo Domingo Lucio
Galdeano, Ernestina
Iglesias, J.
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Zea mays
Resistencia multiple
Germoplasma
topic Zea mays
Resistencia multiple
Germoplasma
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Maize (Zea mays L.) is usually affected by multiple co-occurring pathogens. Therefore, selection of multiple disease resistance (MDR) is becoming a necessary area of research. In this study, we aimed to reveal genotypes with MDR in the Argentine public inbred maize collection and to determine the best selection strategy for their identification. We evaluated 87 Argentinean inbred lines for their response to four foliar diseases: common rust (CR), northern corn leaf blight (NCLB), southern corn leaf blight (SCLB) and bacterial leaf streak (BLS) in up to five environments of Argentina. All diseases were evaluated using a 1-5 scale, where 1=highly resistant and 5=highly susceptible. Phenotypic data was analyzed using mixed models to obtain the BLUP (best linear unbiased predictors) of genotypes. We assayed four strategies for multi-trait selection: MDR variable, Elston index, principal component analysis (PCA), and Factor analysis and ideotype-design. Then, we compared them based on their efficiency and genetic gain. Our results showed that the panel of genotypes was plenty of genotypes resistant to CR and BLS, while resistant genotypes to NCLB and SCLB were scarce. We obtained significant genotypic variation and high heritability (H2>0.82) for all disease resistances, indicating that selection can be performed with a high efficiency for all of them. We found twelve genotypes resistant to all diseases in the panel of genotypes. The PCA showed the highest efficiency for selecting those genotypes (92%) and presented an average genetic gain of 19%. Our findings will benefit breeders for strengthening broad-spectrum resistance in temperate breeding programs, as well for the study of MDR.
Fil: Kistner, María Belén. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria Pergamino; Argentina
Fil: Nazar, L.. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Bioinvestigaciones (Sede Pergamino); Argentina
Fil: Montenegro, L.. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Bioinvestigaciones (Sede Pergamino); Argentina
Fil: Cervigni, Gerardo Domingo Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro de Estudios Fotosintéticos y Bioquímicos. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Centro de Estudios Fotosintéticos y Bioquímicos; Argentina
Fil: Galdeano, Ernestina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Botánica del Nordeste. Universidad Nacional del Nordeste. Facultad de Ciencias Agrarias. Instituto de Botánica del Nordeste; Argentina
Fil: Iglesias, J.. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Bioinvestigaciones (Sede Pergamino); Argentina
5to Congreso Argentino de Fitopatología; 59th Meeting of the APS Caribbean Division
Corrientes
Argentina
Asociación Argentina de Fitopatólogos
American Phytopathological Society
description Maize (Zea mays L.) is usually affected by multiple co-occurring pathogens. Therefore, selection of multiple disease resistance (MDR) is becoming a necessary area of research. In this study, we aimed to reveal genotypes with MDR in the Argentine public inbred maize collection and to determine the best selection strategy for their identification. We evaluated 87 Argentinean inbred lines for their response to four foliar diseases: common rust (CR), northern corn leaf blight (NCLB), southern corn leaf blight (SCLB) and bacterial leaf streak (BLS) in up to five environments of Argentina. All diseases were evaluated using a 1-5 scale, where 1=highly resistant and 5=highly susceptible. Phenotypic data was analyzed using mixed models to obtain the BLUP (best linear unbiased predictors) of genotypes. We assayed four strategies for multi-trait selection: MDR variable, Elston index, principal component analysis (PCA), and Factor analysis and ideotype-design. Then, we compared them based on their efficiency and genetic gain. Our results showed that the panel of genotypes was plenty of genotypes resistant to CR and BLS, while resistant genotypes to NCLB and SCLB were scarce. We obtained significant genotypic variation and high heritability (H2>0.82) for all disease resistances, indicating that selection can be performed with a high efficiency for all of them. We found twelve genotypes resistant to all diseases in the panel of genotypes. The PCA showed the highest efficiency for selecting those genotypes (92%) and presented an average genetic gain of 19%. Our findings will benefit breeders for strengthening broad-spectrum resistance in temperate breeding programs, as well for the study of MDR.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Congreso
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/211369
Detection of genotypes with multiple disease resistance in argentinean maize germplasm; 5to Congreso Argentino de Fitopatología; 59th Meeting of the APS Caribbean Division; Corrientes; Argentina; 2021; 374-374
CONICET Digital
CONICET
url http://hdl.handle.net/11336/211369
identifier_str_mv Detection of genotypes with multiple disease resistance in argentinean maize germplasm; 5to Congreso Argentino de Fitopatología; 59th Meeting of the APS Caribbean Division; Corrientes; Argentina; 2021; 374-374
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://aafitopatologos.com.ar/wp/wp-content/uploads/2021/11/Libro-de-Res%C3%BAmenes-5%C2%BACAF-Final.pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.coverage.none.fl_str_mv Nacional
dc.publisher.none.fl_str_mv Asociación Argentina de Fitopatólogos
publisher.none.fl_str_mv Asociación Argentina de Fitopatólogos
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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