Building MAGIC populations : Novel resources for sunflower trait improvement
Multiparent advanced generation inter-cross (MAGIC) populations improve the accuracy of quantitative trait loci mapping compared to biparental populations by increasing diversity and reducing linkage disequilibrium between variants. Here we describe the development of two MAGIC populations derived f...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | info:ar-repo/semantics/artículo |
| Language: | Inglés |
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Elsevier
2025
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.12123/22872 https://www.sciencedirect.com/science/article/pii/S2096242825000211 https://doi.org/10.1016/j.ocsci.2025.05.001 |
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| author | Dominguez, Matías Colombo, Denis Nahuel Filippi, Carla Valeria Ben Guerrero, Emiliano Dillchneider Loza, Alexandra Corro Molas, Andres Ezequiel Montecchia, Juan Francisco Fass, Monica Irina Lavandera, Javier Eduardo Troglia, Carolina Beatriz Lia, Veronica Viviana Gonzalez, Julio Horacio Alvarez, Daniel Cervigni, Gerardo Domingo Lucio Paniego, Norma Beatriz |
| author_browse | Alvarez, Daniel Ben Guerrero, Emiliano Cervigni, Gerardo Domingo Lucio Colombo, Denis Nahuel Corro Molas, Andres Ezequiel Dillchneider Loza, Alexandra Dominguez, Matías Fass, Monica Irina Filippi, Carla Valeria Gonzalez, Julio Horacio Lavandera, Javier Eduardo Lia, Veronica Viviana Montecchia, Juan Francisco Paniego, Norma Beatriz Troglia, Carolina Beatriz |
| author_facet | Dominguez, Matías Colombo, Denis Nahuel Filippi, Carla Valeria Ben Guerrero, Emiliano Dillchneider Loza, Alexandra Corro Molas, Andres Ezequiel Montecchia, Juan Francisco Fass, Monica Irina Lavandera, Javier Eduardo Troglia, Carolina Beatriz Lia, Veronica Viviana Gonzalez, Julio Horacio Alvarez, Daniel Cervigni, Gerardo Domingo Lucio Paniego, Norma Beatriz |
| author_sort | Dominguez, Matías |
| collection | INTA Digital |
| description | Multiparent advanced generation inter-cross (MAGIC) populations improve the accuracy of quantitative trait loci mapping compared to biparental populations by increasing diversity and reducing linkage disequilibrium between variants. Here we describe the development of two MAGIC populations derived from a cross of 11 founder lines from the INTA (National Institute for Agricultural Technology in Argentina) sunflower breeding program. The founder lines are fertility maintainer inbred lines that exhibit genetic diversity in several traits, including flowering cycle, plant architecture, disease resistance, oil content and oil quality. The crossing scheme applied follows the design of two-way, four-way and eight-way crosses with a modification to increase the number of recombinations and shorten the linkage disequilibrium. Phenotyping a subset of F2 families and F5 lines for different traits shows an increase in the diversity of the analyzed traits compared to the parental lines. In addition, we identified lines with transgressive segregation for Sunflower Verticillium Wilt resistance. These results confirm that the MAGIC populations will serve as unique genetic and genomic resources to better characterize the genetics of complex traits and identify potentially superior alleles for sunflower breeding. It will also enrich the gene pool of fertility maintainers (A/B line) of the sunflower germplasm and facilitate the introduction of new breeding methods to select female parents for use in AxR combinations to obtain superior sunflower hybrids. |
| format | info:ar-repo/semantics/artículo |
| id | INTA22872 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA228722025-07-03T11:54:32Z Building MAGIC populations : Novel resources for sunflower trait improvement Dominguez, Matías Colombo, Denis Nahuel Filippi, Carla Valeria Ben Guerrero, Emiliano Dillchneider Loza, Alexandra Corro Molas, Andres Ezequiel Montecchia, Juan Francisco Fass, Monica Irina Lavandera, Javier Eduardo Troglia, Carolina Beatriz Lia, Veronica Viviana Gonzalez, Julio Horacio Alvarez, Daniel Cervigni, Gerardo Domingo Lucio Paniego, Norma Beatriz Girasol Mejoramiento Genético Recursos Genéticos Método de Mejoramiento Genético Cruzamiento Sunflowers Genetic Improvement Genetic Resources Breeding Methods Cross-breeding Quantitative Trait Loci Loci de Rasgos Cuantitativos MAGIC QTL Verticillium wilt Multiparent advanced generation inter-cross (MAGIC) populations improve the accuracy of quantitative trait loci mapping compared to biparental populations by increasing diversity and reducing linkage disequilibrium between variants. Here we describe the development of two MAGIC populations derived from a cross of 11 founder lines from the INTA (National Institute for Agricultural Technology in Argentina) sunflower breeding program. The founder lines are fertility maintainer inbred lines that exhibit genetic diversity in several traits, including flowering cycle, plant architecture, disease resistance, oil content and oil quality. The crossing scheme applied follows the design of two-way, four-way and eight-way crosses with a modification to increase the number of recombinations and shorten the linkage disequilibrium. Phenotyping a subset of F2 families and F5 lines for different traits shows an increase in the diversity of the analyzed traits compared to the parental lines. In addition, we identified lines with transgressive segregation for Sunflower Verticillium Wilt resistance. These results confirm that the MAGIC populations will serve as unique genetic and genomic resources to better characterize the genetics of complex traits and identify potentially superior alleles for sunflower breeding. It will also enrich the gene pool of fertility maintainers (A/B line) of the sunflower germplasm and facilitate the introduction of new breeding methods to select female parents for use in AxR combinations to obtain superior sunflower hybrids. EEA Pergamino Fil: Dominguez, Matías. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Sector Girasol; Argentina Fil: Colombo, Denis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentina Fil: Colombo, Denis. North Dakota State University. Department of Plant Pathology; Estados Unidos Fil: Filippi, Carla Valeria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina Fil: Filippi, Carla Valeria. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Filippi, Carla Valeria. Universidad de la República. Facultad de Agronomía. Laboratorio de Bioquímica, Departamento de Biología Vegetal; Uruguay Fil: Ben Guerrero, Emiliano. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina Fil: Ben Guerrero, Emiliano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Dillchneider, A. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentina Fil: Corro Molas, Andrés. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil. Agencia de Extensión Rural General Pico; Argentina Fil: Montecchia, Juan Francisco. Estación Experimental Agropecuaria Oliveros. Agencia De Extensión Rural Venado Tuerto; Argentina Fil: Montecchia, Juan Francisco. Advanta Semillas SACI; Argentina Fil: Fass, M. Universidad de la República. Facultad de Agronomía. Laboratorio de Bioquímica. Departamento de Biología Vegetal; Uruguay Fil: Lavandera, Javier Eduardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Girasol; Argentina Fil: Troglia, C. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina Fil: Lia, Verónica Viviana. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina Fil: González, Julio Horacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Sección Girasol; Argentina Fil: Alvarez, Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentina Fil: Cervigni, G. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Centro de Estudios Fotosintéticos y Bioquímicos de Rosario; Argentina Fil: Cervigni, G. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina Fil: Paniego, Norma Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina 2025-07-03T11:23:42Z 2025-07-03T11:23:42Z 2025-06 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/22872 https://www.sciencedirect.com/science/article/pii/S2096242825000211 2096-2428 2666-626X https://doi.org/10.1016/j.ocsci.2025.05.001 eng info:eu-repograntAgreement/INTA/2019-PE-E6-I114-001, Caracterización de la diversidad genética de plantas, animales y microorganismos mediante herramientas de genómica aplicada info:eu-repograntAgreement/INTA/2019-PE-E6-I127-001, Mejoramiento genético de soja, girasol y oleaginosas invernales en calidad y valor agregado, productividad, y estabilidad y plasticidad ante estreses bióticos y abióticos info:eu-repograntAgreement/INTA/2019-PD-E4-I090-001, Análisis de patosistemas en cultivos agrícolas y especies forestales. Caracterización de sus componentes info:eu-repograntAgreement/INTA/2023-PE-L01-I111, Mejoramiento genético de oleaginosas: girasol, soja, colza y lino en rendimiento, calidad y sanidad, para contribuir a la sostenibilidad de los sistemas productivos info:eu-repograntAgreement/INTA/2023-PD-L01-I087, Caracterización de la diversidad genética de plantas, animales y microorganismos mediante herramientas de genómica aplicada. 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) application/pdf Elsevier Oil Crop Science 10 (2) : 131-143. (June 2025) |
| spellingShingle | Girasol Mejoramiento Genético Recursos Genéticos Método de Mejoramiento Genético Cruzamiento Sunflowers Genetic Improvement Genetic Resources Breeding Methods Cross-breeding Quantitative Trait Loci Loci de Rasgos Cuantitativos MAGIC QTL Verticillium wilt Dominguez, Matías Colombo, Denis Nahuel Filippi, Carla Valeria Ben Guerrero, Emiliano Dillchneider Loza, Alexandra Corro Molas, Andres Ezequiel Montecchia, Juan Francisco Fass, Monica Irina Lavandera, Javier Eduardo Troglia, Carolina Beatriz Lia, Veronica Viviana Gonzalez, Julio Horacio Alvarez, Daniel Cervigni, Gerardo Domingo Lucio Paniego, Norma Beatriz Building MAGIC populations : Novel resources for sunflower trait improvement |
| title | Building MAGIC populations : Novel resources for sunflower trait improvement |
| title_full | Building MAGIC populations : Novel resources for sunflower trait improvement |
| title_fullStr | Building MAGIC populations : Novel resources for sunflower trait improvement |
| title_full_unstemmed | Building MAGIC populations : Novel resources for sunflower trait improvement |
| title_short | Building MAGIC populations : Novel resources for sunflower trait improvement |
| title_sort | building magic populations novel resources for sunflower trait improvement |
| topic | Girasol Mejoramiento Genético Recursos Genéticos Método de Mejoramiento Genético Cruzamiento Sunflowers Genetic Improvement Genetic Resources Breeding Methods Cross-breeding Quantitative Trait Loci Loci de Rasgos Cuantitativos MAGIC QTL Verticillium wilt |
| url | http://hdl.handle.net/20.500.12123/22872 https://www.sciencedirect.com/science/article/pii/S2096242825000211 https://doi.org/10.1016/j.ocsci.2025.05.001 |
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