Navegando por Autor "Gatica-Arias, Andrés"

Agora exibindo 1 - 2 de 2

Influence of Silver Nitrate on Somatic Embryogenesis Induction in Arabica Coffee (Coffea arabica L.)
(Instituto de Tecnologia do Paraná - Tecpar, 2019) Rojas-Lorz, Laura; Arrieta-Espinoza, Griselda; Valdez-Melara, Marta; Pereira, Luiz Filipe Protasio; Gatica-Arias, Andrés
The influence of silver nitrate (AgNO3), benzyladenine (BAP), and indole-3-acetic acid (IAA) on low frequency somatic embryogenesis (LFSE) induction in Caturra and Catuaí arabica coffee was evaluated. For the Caturra cultivar, the production of somatic embryos was significantly increased by adding AgNO3 to the semisolid culture medium. The highest average number of somatic embryos for this cultivar was obtained using 6.6 μM BAP, 2.85 μM IAA, and 40 μM AgNO3. In contrast, for the Catuaí cultivar, the highest average number of somatic embryos was obtained using semisolid medium supplemented with 8.8 μM BAP, and 2.85 μM IAA. Using these protocols, somatic embryos were directly induced using leaf sections of in vitro plants of both coffee cultivars within 8 weeks. The somatic embryos developed into rooted plants with a 100% survival rate upon transfer to the greenhouse.
Microsatellite DNA fingerprinting of Coffea sp. germplasm conserved in Costa Rica through singleplex and multiplex PCR
(Crop Breeding and Applied Biotechnology, 2020) Sánchez, Elodia; Solano, William; Gatica-Arias, Andrés; Chavarría, Max; Araya-Valverde, Emanuel
A large collection of coffee genetic resources is conserved in Costa Rica. In this study, microsatellite DNA fingerprinting of coffee through singleplex and multiplex PCR approaches coupled with capillary electrophoresis are described. To validate both methods, germplasm of Coffea spp. (Arabica and non-Arabica) and intraspecific F1 hybrids were analyzed using fourteen microsatellite markers. It was observed that through both PCR methods the fingerprinting profile of a subset of samples was identical. The genetic analyses revealed that non-Arabica coffee displayed greater genetic variation than Arabica coffee did. In addition, microsatellite analyses allowed the separation of C. arabica from other species using the principal coordinate analysis (PCoA) approach. The neighbor-joining tree clustering analysis revealed either a grouping of wild genotypes separated from cultivars of C. arabica, or a relation of intraspecific F1 hybrids with parental lines. The utility of our methodology for the characterization of F1 hybrids not previously analyzed through SSR (Simple Sequence Repeats) fingerprinting is demonstrated.