CGSpaceA Repository of Agricultural Research Outputs
    View Item 
    •   CGSpace Home
    • International Center for Tropical Agriculture (CIAT)
    • CIAT Articles in Journals
    • View Item
       
    • CGSpace Home
    • International Center for Tropical Agriculture (CIAT)
    • CIAT Articles in Journals
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Mapeo genético y análisis de QTL para carotenos en una población S1 de yuca = Genetic mapping and QTL analysis for carotenes in a S1 population of cassava

    Thumbnail
    Authors
    Marin Colorado, JA
    Ramírez, H.
    Fregene, Martin A.
    Date Issued
    2009
    Language
    es
    Type
    Journal Article
    Review status
    Peer Review
    ISI journal
    Accessibility
    Open Access
    Metadata
    Show full item record
    Share
    
    Permanent link to cite or share this item: https://hdl.handle.net/10568/44354
    External link to download this item: http://www.scielo.org.co/pdf/acag/v58n1/v58n1a03.pdf
    Abstract/Description
    La población S1 de la variedad tailandesa de yuca MTAi8 (AM320), la cual presenta patrones de segregación definidos para el contenido de carotenos totales (Beta-caroteno), se sometió a un análisis de agrupamiento segregante (BSA = Bulk Segregant Analysis) empleando 700 marcadores moleculares tipo microsatélites o SSR. Se generaron 25 grupos de ligamiento identificando 3 QTL mayores asociados con una región del genoma de yuca con el contenido de carotenos totales. Tres marcadores SSR explicaron el 37.2% (NS109), 32% (rSSRY251) y 27.7% (rSSRY313) de la varianza fenotipica total, situados en el grupo de ligamiento D fuertemente asociados con el contenido de carotenos totales en la familia AM320 S1, se estableció una fuerte correlación positiva entre color de pulpa de raíz y contenido de carotenos totales (r=0.81), y negativa entre carotenos totales y materia seca (r= -0.31). Los tres posibles QTL presentaron efecto positivo y de carácter aditivo para el contenido de carotenos totales, pueden ser la oportunidad para implementar selección asistida por marcadores para carotenos totales en yuca. = The S1 population of the Thai variety MTAi8 (AM320), which shows patterns of segregation defined by the content of total carotenes (beta-carotene), underwent an analysis of segregating bulk (BSA = Bulk segregating Analysis) using 700 molecular markers type microsatellites or SSR. There were generated 25 tying groups and identifying 3 major QTLs associated with a region of the genome of cassava with the content of total carotenes. Three markers SSR; explained the 37.2% (NS109), 32% (rSSRY251) and 27.7% (rSSRY313) of the total phenotypic variance, placed in the Group D strongly tying, associated with the content of total carotenes in the family AM320 S1, which established a strong positive correlation between color and content root pulp carotenes total (r = 0.81), and between negative and carotenes total dry matter (r = -0.31). The three possible QTLs showed positive and additive effect for the content of totals carotenes and could be an opportunity to implement assisted selection markers for total carotenes in cassava.
    AGROVOC Keywords
    manihot esculenta; carotenoids; quantitative trait loci; microsatellites; genetic markers; carotenoides; loci de rasgos cuantitativos; microsatélites; marcadores genéticos
    Subjects
    CASSAVA; GENETIC RESOURCES;
    Countries
    Colombia
    Regions
    Latin America; South America
    Collections
    • CIAT Articles in Journals [2636]

    Show Statistical Information


    AboutPrivacy StatementSend Feedback
     

    My Account

    LoginRegister

    Browse

    All of CGSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subjectThis CollectionBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subject

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    AboutPrivacy StatementSend Feedback