Estrategias asistidas por genómica para el mejoramiento de arroz

cg.authorship.typesCGIAR single centreen_US
cg.contributor.affiliationInternational Center for Tropical Agricultureen_US
cg.contributor.affiliationCentre de Coopération Internationale en Recherche Agronomique pour le Développementen_US
cg.contributor.donorInternational Center for Tropical Agricultureen_US
cg.contributor.donorCentre de Coopération Internationale en Recherche Agronomique pour le Développementen_US
cg.contributor.initiativeAccelerated Breedingen_US
cg.coverage.countryColombiaen_US
cg.coverage.iso3166-alpha2COen_US
cg.coverage.regionAmericasen_US
cg.coverage.regionSouth Americaen_US
cg.coverage.regionLatin America and the Caribbeanen_US
cg.creator.identifierJérôme Bartholomé: 0000-0002-0855-3828en_US
cg.subject.actionAreaGenetic Innovationen_US
cg.subject.alliancebiovciatRICEen_US
cg.subject.impactAreaNutrition, health and food securityen_US
cg.subject.sdgSDG 2 - Zero hungeren_US
dc.contributor.authorBartholomé, Jérômeen_US
dc.date.accessioned2025-01-28T14:24:21Zen_US
dc.date.available2025-01-28T14:24:21Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/170223en_US
dc.titleEstrategias asistidas por genómica para el mejoramiento de arrozen_US
dcterms.abstractThe presentation highlights the role of genomics in advancing rice breeding programs. Key genomic tools and methodologies are discussed to enhance genetic diversity, selection accuracy, and breeding efficiency. The importance of characterizing genetic diversity within rice breeding programs is exemplified by studies such as genome-wide characterizations and the establishment of elite core panels to accelerate improvement rates. Marker-Assisted Selection (MAS) focuses on introgressing beneficial genes while recovering the genetic background efficiently. The process progresses through generations (e.g., BC1F1 to BC3F5), showcasing the superiority of MAS over traditional phenotypic selection. Advanced genotyping platforms like 1k-RiCA enable precise SNP-based analyses in genomic selection. This approach emphasizes optimizing training sets and leveraging predictive models to enhance genetic gain, as supported by recent achievements in rice breeding programs. Genomic tools are integral at every stage of the rice improvement process, reinforcing the need for robust foundational breeding programs.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.bibliographicCitationBartholomé, J. (2024) Estrategias asistidas por genómica para el mejoramiento de arroz. 12 sl.en_US
dcterms.extent12 sl.en_US
dcterms.issued2024-06-14en_US
dcterms.languageesen_US
dcterms.licenseOtheren_US
dcterms.subjectgenomicsen_US
dcterms.subjectriceen_US
dcterms.subjectarrozen_US
dcterms.subjectgenómicaen_US
dcterms.subjectbreedingen_US
dcterms.subjectmejoramientoen_US
dcterms.typePresentationen_US

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