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The genetic dissection of quantitative traits in crops
Semagn, Kassa; Bjornstad, Asmund; Xu, Yunbi.
Afiliación
  • Semagn, Kassa; International Maize and Wheat Improvement Center. Nairobi. KE
  • Bjornstad, Asmund; Norwegian University of Life Sciences. Department of Plant and Environmental Sciences. As. NO
  • Xu, Yunbi; International Maize and Wheat Improvement Center. Mexico. MX
Electron. j. biotechnol ; 13(5): 16-17, Sept. 2010. ilus, tab
Article en En | LILACS | ID: lil-591898
Biblioteca responsable: CL1.1
ABSTRACT
Most traits of interest in plant breeding show quantitative inheritance, which complicate the breeding process since phenotypic performances only partially reflects the genetic values of individuals. The genetic variation of a quantitative trait is assumed to be controlled by the collective effects of quantitative trait loci (QTLs), epistasis (interaction between QTLs), the environment, and interaction between QTL and environment. Exploiting molecular markers in breeding involve finding a subset of markers associated with one or more QTLs that regulate the expression of complex traits. Many QTL mapping studies conducted in the last two decades identified QTLs that generally explained a significant proportion of the phenotypic variance, and therefore, gave rise to an optimistic assessment of the prospects of markers assisted selection. Linkage analysis and association mapping are the two most commonly used methods for QTL mapping. This review provides an overview of the two QTL mapping methods, including mapping population type and size, phenotypic evaluation of the population, molecular profiling of either the entire or a subset of the population, marker-trait association analysis using different statistical methods and software as well as the future prospects of using markers in crop improvement.
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Texto completo: 1 Índice: LILACS Asunto principal: Selección Genética / Mapeo Cromosómico / Sitios de Carácter Cuantitativo / Producción de Cultivos Tipo de estudio: Prognostic_studies Idioma: En Revista: Electron. j. biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2010 Tipo del documento: Article

Texto completo: 1 Índice: LILACS Asunto principal: Selección Genética / Mapeo Cromosómico / Sitios de Carácter Cuantitativo / Producción de Cultivos Tipo de estudio: Prognostic_studies Idioma: En Revista: Electron. j. biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2010 Tipo del documento: Article