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resumen

Resumen
The northern region of Argentina is home to more than 60 native maize landraces, with two main genetic groups of high phenotypic variability: the high-altitude Andean landraces, present in northwestern Argentina (NWA), and the floury landraces of the northeast (NEA). This work evaluated 9 accessions from each region by means of reciprocal transplant gardens (Maimará, Jujuy & Cerro Azul, Misiones) in order to demonstrate their local adaptation. The [ver mas...]
dc.contributor.authorFreilij, Damián
dc.contributor.authorDefacio, Raquel Alicia
dc.contributor.authorHeck, Mónica Isabel
dc.contributor.authorFariza, Silvina Ines
dc.contributor.authorDe Lucia, Adrían Darío
dc.contributor.authorFerreyra, Mariana Jimena
dc.contributor.authorPaniego, Norma Beatriz
dc.contributor.authorDominguez, Pia Guadalupe
dc.contributor.authorLia, Veronica Viviana
dc.date.accessioned2025-03-06T12:04:56Z
dc.date.available2025-03-06T12:04:56Z
dc.date.issued2023-10
dc.identifier.urihttp://hdl.handle.net/20.500.12123/21554
dc.descriptionPoster y resumenes_AR
dc.description.abstractThe northern region of Argentina is home to more than 60 native maize landraces, with two main genetic groups of high phenotypic variability: the high-altitude Andean landraces, present in northwestern Argentina (NWA), and the floury landraces of the northeast (NEA). This work evaluated 9 accessions from each region by means of reciprocal transplant gardens (Maimará, Jujuy & Cerro Azul, Misiones) in order to demonstrate their local adaptation. The variability of 14 agro-morphological and 6 phenological and yield characters was studied using general linear mixed models. NEA landraces showed higher mean phenotypic values, while the NWA ones showed the highest variation in both environments, with a negative correlation between collection altitude and most of the traits. Morphological structuring assessed by a discriminant analysis of principal components (DAPC) revealed the existence of groups unique to each region and a high degree of admixture, with each accession consisting of more than one of the inferred groups. The Andean NWA group was the most consistently recovered in cluster analyses, while NEA maize was divided into two groups not concordant with prior divisions. The search for selective signals used PST - FST comparisons, representing morphological and molecular neutral divergence, respectively. Directional selection signals were detected both within and between regions at most traits, being strongest at the region level and varying in magnitude between gardens. Moreover, fitness values in the NEA garden, measured as the number of plants with good seed quality per plot, showed maladaptation and low yields of NWA maize outside its native range. Taken together, our analyses suggest that several traits mediate local adaptation in maize landraces from northern Argentina. From a broader perspective, the extensive variability found within regions highlights the need to consider this source of variation in the design of in situ and ex situ conservation programs.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherSociedad Argentina de Fisiología Vegetales_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceRAFV Conference 2023 XXXIV Argentinian Meeting of Plant Physiology. (Reunión de la Sociedad Argentina de Fisiología Vegetal) September 24 – 27, Rosario, Santa Fe, Argentinaes_AR
dc.subjectMaízes_AR
dc.subjectMaizeeng
dc.subjectFenotiposes_AR
dc.subjectPhenotypeseng
dc.subjectGenética de Poblacioneses_AR
dc.subjectPopulation Geneticseng
dc.subjectArgentina
dc.subject.otherFitnesseng
dc.subject.otherLandraceeng
dc.subject.otherLocal Adaptationeng
dc.subject.otherReciprocal Transplanteng
dc.titleMorphological diversity, selective signals and evidence of local adaptation in Argentinean maize landraceses_AR
dc.typeinfo:ar-repo/semantics/documento de conferenciaes_AR
dc.typeinfo:eu-repo/semantics/conferenceObjectes_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenEEA Pergaminoes_AR
dc.description.filFil: Freilij, Damián. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Defacio, Raquel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Recursos Genéticos; Argentinaes_AR
dc.description.filFil: Heck, Mónica Isabel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Cerro Azul; Argentinaes_AR
dc.description.filFil: Fariza, Silvina I. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Cerro Azul; Argentinaes_AR
dc.description.filFil: De Lucia, Adrián D. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Cerro Azul; Argentinaes_AR
dc.description.filFil: Ferreyra, Mariana Jimena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta; Argentinaes_AR
dc.description.filFil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Domínguez, Pía Guadalupe. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Lía, Verónica Viviana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Lia, Verónica Viviana. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentinaes_AR
dc.subtypeponencia


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