Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacional
- Autores
- Perdomo, Santiago I.; Baricalla, Agustín Ariel; Iglesias, Juliana
- Año de publicación
- 2022
- Idioma
- español castellano
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- In maize, genetic diversity and population structure assessment by using new sequencing technologies is crucial since inbreeding reduces not only the fitness, but also the production-associated traits. The present work aims to evaluate the genetic diversity and genetic structure of a panel of 191 inbred lines from the Maize Breeding Program at EEA INTA Pergamino with the widely-used Illumina MaizeSNP50 BeadChip. To that end, two different Bayesian methodologies were investigated: STRUCTURE and fastSTRUCTURE altogether with NJ and UPGMA clustering methods. t-SNE was used for data visualization. Clustering results were validated by comparison with pedigree and heterotic pattern information. Population structure analysis provided an estimated K=10 groups (subpopulations) constituted by genotypes derived from families of syn. hybrid Pioneer, syn. BS13P, syn. 34 from INTA Leales, from AX882(F2) and M11 (F2), lines derived from P465 among some other mixed groups. Fst values from the 10-subpopulations ranged from 0.43-0.75, with an overall Fst=0.6 indicating a medium to a high amount of genetic differentiation. Therefore, inbreds from each subpopulation can be crossed and tested for heterosis. Overall, these results showed substantial genetic variability that could be exploited to obtain new maize varieties to meet future challenges. Important information is also provided for future genome wide association studies and marker-assisted selection.
EEA Pergamino
Fil: Perdomo, S. I. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales; Argentina
Fil: Baricalla, A. A. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales; Argentina
Fil: Baricalla, A. A. Universidad Nacional del Noroeste de la Provincia de Buenos Aires - Universidad Nacional de San Antonio de Areco - Consejo Nacional de Investigaciones Científicas y Técnicas - (UNNOBA - UNSAdA - CONICET). Centro de Investigaciones y Transferencias del Noroeste de la Provincia de Buenos Aires (CITNOBA); Argentina
Fil: Iglesias, Juliana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Maíz; Argentina
Fil: Iglesias, Juliana. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Agrarias, Naturales y Ambientales; Argentina - Fuente
- XII Congreso Nacional de Maíz "Maízificando conciencia", Pergamino, Buenos Aires, 8 al 10 de Noviembre de 2022. 3 p.
- Materia
-
Maíz
Mejoramiento Genético
Variación genética
Maize
Genetic Improvement
Genetic Variation
Subpoblaciones - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/16790
Ver los metadatos del registro completo
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Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacionalPerdomo, Santiago I.Baricalla, Agustín ArielIglesias, JulianaMaízMejoramiento GenéticoVariación genéticaMaizeGenetic ImprovementGenetic VariationSubpoblacionesIn maize, genetic diversity and population structure assessment by using new sequencing technologies is crucial since inbreeding reduces not only the fitness, but also the production-associated traits. The present work aims to evaluate the genetic diversity and genetic structure of a panel of 191 inbred lines from the Maize Breeding Program at EEA INTA Pergamino with the widely-used Illumina MaizeSNP50 BeadChip. To that end, two different Bayesian methodologies were investigated: STRUCTURE and fastSTRUCTURE altogether with NJ and UPGMA clustering methods. t-SNE was used for data visualization. Clustering results were validated by comparison with pedigree and heterotic pattern information. Population structure analysis provided an estimated K=10 groups (subpopulations) constituted by genotypes derived from families of syn. hybrid Pioneer, syn. BS13P, syn. 34 from INTA Leales, from AX882(F2) and M11 (F2), lines derived from P465 among some other mixed groups. Fst values from the 10-subpopulations ranged from 0.43-0.75, with an overall Fst=0.6 indicating a medium to a high amount of genetic differentiation. Therefore, inbreds from each subpopulation can be crossed and tested for heterosis. Overall, these results showed substantial genetic variability that could be exploited to obtain new maize varieties to meet future challenges. Important information is also provided for future genome wide association studies and marker-assisted selection.EEA PergaminoFil: Perdomo, S. I. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales; ArgentinaFil: Baricalla, A. A. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales; ArgentinaFil: Baricalla, A. A. Universidad Nacional del Noroeste de la Provincia de Buenos Aires - Universidad Nacional de San Antonio de Areco - Consejo Nacional de Investigaciones Científicas y Técnicas - (UNNOBA - UNSAdA - CONICET). Centro de Investigaciones y Transferencias del Noroeste de la Provincia de Buenos Aires (CITNOBA); ArgentinaFil: Iglesias, Juliana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Maíz; ArgentinaFil: Iglesias, Juliana. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Agrarias, Naturales y Ambientales; ArgentinaAsociación de Ingenieros Agrónomos del Norte de la Provincia de Buenos Aires2024-02-23T17:05:44Z2024-02-23T17:05:44Z2022-11info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://hdl.handle.net/20.500.12123/16790XII Congreso Nacional de Maíz "Maízificando conciencia", Pergamino, Buenos Aires, 8 al 10 de Noviembre de 2022. 3 p.reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaspainfo: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)2025-09-29T13:46:22Zoai:localhost:20.500.12123/16790instacron: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 13:46:22.593INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacional |
title |
Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacional |
spellingShingle |
Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacional Perdomo, Santiago I. Maíz Mejoramiento Genético Variación genética Maize Genetic Improvement Genetic Variation Subpoblaciones |
title_short |
Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacional |
title_full |
Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacional |
title_fullStr |
Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacional |
title_full_unstemmed |
Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacional |
title_sort |
Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacional |
dc.creator.none.fl_str_mv |
Perdomo, Santiago I. Baricalla, Agustín Ariel Iglesias, Juliana |
author |
Perdomo, Santiago I. |
author_facet |
Perdomo, Santiago I. Baricalla, Agustín Ariel Iglesias, Juliana |
author_role |
author |
author2 |
Baricalla, Agustín Ariel Iglesias, Juliana |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Maíz Mejoramiento Genético Variación genética Maize Genetic Improvement Genetic Variation Subpoblaciones |
topic |
Maíz Mejoramiento Genético Variación genética Maize Genetic Improvement Genetic Variation Subpoblaciones |
dc.description.none.fl_txt_mv |
In maize, genetic diversity and population structure assessment by using new sequencing technologies is crucial since inbreeding reduces not only the fitness, but also the production-associated traits. The present work aims to evaluate the genetic diversity and genetic structure of a panel of 191 inbred lines from the Maize Breeding Program at EEA INTA Pergamino with the widely-used Illumina MaizeSNP50 BeadChip. To that end, two different Bayesian methodologies were investigated: STRUCTURE and fastSTRUCTURE altogether with NJ and UPGMA clustering methods. t-SNE was used for data visualization. Clustering results were validated by comparison with pedigree and heterotic pattern information. Population structure analysis provided an estimated K=10 groups (subpopulations) constituted by genotypes derived from families of syn. hybrid Pioneer, syn. BS13P, syn. 34 from INTA Leales, from AX882(F2) and M11 (F2), lines derived from P465 among some other mixed groups. Fst values from the 10-subpopulations ranged from 0.43-0.75, with an overall Fst=0.6 indicating a medium to a high amount of genetic differentiation. Therefore, inbreds from each subpopulation can be crossed and tested for heterosis. Overall, these results showed substantial genetic variability that could be exploited to obtain new maize varieties to meet future challenges. Important information is also provided for future genome wide association studies and marker-assisted selection. EEA Pergamino Fil: Perdomo, S. I. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales; Argentina Fil: Baricalla, A. A. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales; Argentina Fil: Baricalla, A. A. Universidad Nacional del Noroeste de la Provincia de Buenos Aires - Universidad Nacional de San Antonio de Areco - Consejo Nacional de Investigaciones Científicas y Técnicas - (UNNOBA - UNSAdA - CONICET). Centro de Investigaciones y Transferencias del Noroeste de la Provincia de Buenos Aires (CITNOBA); Argentina Fil: Iglesias, Juliana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Maíz; Argentina Fil: Iglesias, Juliana. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Agrarias, Naturales y Ambientales; Argentina |
description |
In maize, genetic diversity and population structure assessment by using new sequencing technologies is crucial since inbreeding reduces not only the fitness, but also the production-associated traits. The present work aims to evaluate the genetic diversity and genetic structure of a panel of 191 inbred lines from the Maize Breeding Program at EEA INTA Pergamino with the widely-used Illumina MaizeSNP50 BeadChip. To that end, two different Bayesian methodologies were investigated: STRUCTURE and fastSTRUCTURE altogether with NJ and UPGMA clustering methods. t-SNE was used for data visualization. Clustering results were validated by comparison with pedigree and heterotic pattern information. Population structure analysis provided an estimated K=10 groups (subpopulations) constituted by genotypes derived from families of syn. hybrid Pioneer, syn. BS13P, syn. 34 from INTA Leales, from AX882(F2) and M11 (F2), lines derived from P465 among some other mixed groups. Fst values from the 10-subpopulations ranged from 0.43-0.75, with an overall Fst=0.6 indicating a medium to a high amount of genetic differentiation. Therefore, inbreds from each subpopulation can be crossed and tested for heterosis. Overall, these results showed substantial genetic variability that could be exploited to obtain new maize varieties to meet future challenges. Important information is also provided for future genome wide association studies and marker-assisted selection. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-11 2024-02-23T17:05:44Z 2024-02-23T17:05:44Z |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12123/16790 |
url |
http://hdl.handle.net/20.500.12123/16790 |
dc.language.none.fl_str_mv |
spa |
language |
spa |
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 |
Asociación de Ingenieros Agrónomos del Norte de la Provincia de Buenos Aires |
publisher.none.fl_str_mv |
Asociación de Ingenieros Agrónomos del Norte de la Provincia de Buenos Aires |
dc.source.none.fl_str_mv |
XII Congreso Nacional de Maíz "Maízificando conciencia", Pergamino, Buenos Aires, 8 al 10 de Noviembre de 2022. 3 p. 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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12.559606 |