Development and application of genétic model for QTL mapping in a full sib family / Desenvolvimento de modelo genético-estatístico para mapeamento de QTLs em progênie de irmãos completos, com aplicação em cana-de-açúcar

AUTOR(ES)

Rodrigo Gazaffi

DATA DE PUBLICAÇÃO

2009

RESUMO

Sugarcane has great economic importance to Brazil, which is worlds largest producer. Currently, sugarcane receives worldwide attention due to the economic and environmental issues generated by its main product, ethanol. In this context, there is a scenario of potential growth for the culture, in which breeding can contribute to the development of new cultivars, more productive and effective to explore environmental conditions. Breeding programs could use the information obtained form QTL mapping to become more efficient. Thus, it is necessary to develop new statistical methods that allow QTL mapping in sugarcane with more precision. Statistical models developed for QTL mapping are usually based on experimental populations obtained from inbred lines. However, for species such as sugarcane, eucalyptus, passion fruit, inbred lines are not avaliable and then and mapping studies are conducted using full-sib families, usually making adaptations to existing methodologies, leading to several disadvantages since the assumptions are usually unrealist. This work had two objectives: i) develop an approach for mapping QTLs in full-sibs, using integrated map and compositive interval mapping. ii) use this model to map QTL for traits related to productivity in sugarcane. Results showed that the new model provided better results then existing approaches in literature. In simulation studies, all QTL were detected with more statistical power and precision. The application of the model on data from sugarcane has allowed the identification of more QTLs than single marker analysis, which is commonly used. The statistical power contributed to detection of new regions were associated with variation of quantitative traits. The model also detected QTLs with different patterns of segregation, as well as QTL expressed across harvests.

ASSUNTO(S)

marcador molecular statistical genetics genética estatística melhoramento genético vegetal cana-de-açúcar molecular verossimilhança. marker sugarcane likelihood plant breeding

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