Mapa genético integrado e seleção genômica ampla visando resistência de Coffea arabica L. à ferrugem

• Ano de defesa: 2013
• Autor(a) principal: Pestana, Kátia Nogueira
• Orientador(a): Sakiyama, Ney Sussumu
• Banca de defesa: Zambolim, Eunize Maciel , Oliveira, Antônio Carlos Baião de
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Viçosa
• Programa de Pós-Graduação: Doutorado em Genética e Melhoramento
• Departamento: Genética animal; Genética molecular e de microrganismos; Genética quantitativa; Genética vegetal; Me
• País: BR
• Palavras-chave em Português: Café - Melhoramento genético; Genoma; Coffea arabica; Ferrugem-do-cafeeiro
• Palavras-chave em Inglês: Coffee - Breeding; Genome; Coffea arabica; Rust-of-coffee
• Área do conhecimento CNPq: CNPQ::CIENCIAS AGRARIAS::AGRONOMIA::FITOTECNIA::MELHORAMENTO VEGETAL
• Link de acesso: http://locus.ufv.br/handle/123456789/1397

The obtaining of coffee cultivars resistant and productive, as well as detailed information about the genome of this species demand use of refined genetic analysis tools. Therefore, the identification of molecular markers linked to rust resistance genes in the genetic linkage map has been proposed a strategy to incorporate marker- assisted selection in the improvement of Coffea arabica. In this study, was characterized the resistance inheritance of the Híbrido de Timor UFV 443-03 to races I, II and pathotype 001 of Hemileia vastatrix as well as located in the partial genetic linkage map of coffee identified genes/QTLs. The integrated genetic map was constructed into other pre-existing partial map in order to obtain a saturated map reference for the species. In this map, composed of 191 markers, covering 1421.32 cM genome, QTL associated with race II were identified in H. vastatrix. These molecular markers associated with QTLs identified, could be used for selection of rust-resistant coffee. In addition to this molecular breeding strategy was also proposed to genomic selection in order to predict the phenotypic performance of individuals and to identify molecular markers associated with the trait of resistance to rust. In this study 245 F2 individuals, resulting from the crossing of the susceptible cv. Catuaí Amarelo IAC 64 (UFV 2148-57) and the resistance source of Híbrido de Timor UFV 443-03, genotyped with 137 molecular markers (74 AFLP, 58 SSR, 4 RAPD and 1 specific primer). Estimates of genetic parameters were obtained by BLASSO. The predictive capacity (CP) was measured using all individuals in the population as population training and validation. Moreover, the population was randomly divided into 200 individuals for training and 45 individuals for validation. In the first case, the CP was most predictive for the pathotype 001 (0.78), and in the second case for the race I (0.49). When using only the markers for each single greatest effect, the greater the CP validation population for the pathotype was 001 (0.49). Although it was observed that the estimated heritabilities through molecular markers for resistance to three isolates were lower than those obtained from phenotypic data. This demonstrates a higher prediction genomic values individuals in the genomic selection of compared to the phenotype. Most of the identified markers associated with QTLs in the genetic linkage map was also identified by the GWS, confirming the accuracy of the methodology used. Additionally, the GWS possible to predict successfully genomic values of individuals.